56 Data Storage jobs in Kuwait
Data Center Storage Engineer - Secret Clearance
Posted 1 day ago
Job Viewed
Job Description
Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.
Data Center Storage Engineers support the enterprise storage infrastructure for all sites within the RCC-SWA Area of Responsibility and provide optimization, administration and technical documentation for the enterprise storage infrastructure. DCSEs resolve enterprise-level change requests and act as the top-level of support escalation for all enterprise storage support issues. Principal technical areas include NetApp, EMC, VMware, Windows DFS, Cisco UCS and other related storage, virtualization, networking, and monitoring technologies.
This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program!
You must satisfy all host country requirements to legally work in the host country in order to be qualified for this position.
Responsibilities
+ Enterprise-level support for NetApp CIFS, NFS, iSCSI and FC/FCoE storage presented to a wide array of systems including VMware ESXi, Unix, and Linux clients as well as Windows file services and desktop clients. Periodic reports on storage capacity and utilization as well as system uptime and performance. Top-tier support for escalated issues and complex projects. Daily monitoring of all enterprise storage for integrity, reliability, resource utilization and availability. Log review and issue reporting related to monitoring of temperature and overall storage health throughout the SWA AOR.
+ Experienced with VMware storage requirements, configuration, and provisioning. Proficient in planning, installation, configuration, and upgrades of the NetApp storage infrastructure. The top-tier of support for storage projects and solutions for backup, disaster recovery, consolidation/de-duplication, data protection, performance, upgrades, and system audit tasks.
+ Documentation for Tactics, Techniques, and Procedures (TTPs) for configuring and managing storage, storage networks, and physical disks as well as data protection, access control, resource monitoring and management, storage high availability, fault tolerance and scalable storage infrastructure.
+ The work environment will be 95% indoors and 5% outdoors.
+ Perform additional duties as assigned.
Qualifications
+ Qualifications:
+ Education / Certifications: One-year related experience can be substituted for one year of education if the degree is required.
+ Bachelor's Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field.
+ This position requires candidates to adhere to DoD . All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification. The authorized certifications for this job title are listed as follows:
+ IAT Level: IAT III
+ BASELINE:
+ Cisco: CCNP: Certified Network Professional - Security
+ CompTIA: CASP+ ce: Advanced Security Practitioner
+ GIAC: GCED: Certified Enterprise Defender
+ GIAC: GCIH: Certified Incident Handler
+ ISACA: CISA: Certified Information Systems Auditor
+ ISC2: CCSP: Certified Cloud Security Professional
+ ISC2: CISSP (or Associate): Certified Information Systems Security Professional
+ COMPUTING ENVIRONMENT (CE):
+ CNFDS: Cisco and NetApp Flexpod Design Specialist
+ CNFIAS: Cisco and NetApp Flexpod Implementation and Administration Specialist
+ NetApp: NCDA: Certified Data Administrator, ONTAP
+ NetApp: NCHCA: Certified Hybrid Cloud Administrator
+ NetApp: NCHCA: Certified Hybrid Cloud Architect
+ NetApp: NCIE-DPS: Certified Implementation Engineer - Data Protection Specialist
+ NetApp: NCIE-O-S: Certified Implementation Engineer, ONTAP Specialist
+ NetApp: NCIE-SAN: Certified Implementation Engineer - SAN Specialist, ONTAP
+ NetApp: NCIE-SS: Certified Implementation Engineer - SAN Specialist, E-Series
+ NetApp: NCSE: Certified Storage Engineer
+ NetApp: NCSIE: Certified Storage Installation Engineer, ONTAP
+ VMware: VCP: Certified Professional (7 and above)
+ VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Deploy)
+ VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Design)
+ VMware: VCDE: Certified Design Expert
+ VMware: VCDX-DCV: Certified Design Expert - Data Center Virtualization
+ Experience: One year of related academic study above the high school level may be substituted for one year of experience up to a maximum of a 4-year bachelor's degree in a Software Engineering or Business Information Systems discipline for three years general experience.
+ At least five years of practical experience working with various data (network and system) technologies.
+ Candidate must have a working knowledge of CIFS, NFS, FC and iSCSI protocols.
+ Hands on experience with NetApp On-Command System Manager and Data ONTAP command-line interface (CLI).
+ Must have NetApp configuration and administration experience and understands NetApp replication technologies.
+ Experienced with FC/SAN switches and directors.
+ Experienced with NetApp Data ONTAP configuration and tuning.
+ Experienced with regular storage capacity planning and reporting.
+ Skills & Technology Used:
+ Ability to troubleshoot servers and infrastructure equipment, assess networking requirements and provide solutions, and make accurate and independent decisions under pressure.
+ Excellent organizational, interpersonal, written, and verbal communication skills.
+ Ability to perform comfortably in a fast-paced, deadline-oriented work environment and to successfully execute many complex tasks simultaneously.
+ Working knowledge of server, storage, and desktop virtualization technologies.
+ Working knowledge with vSphere client, ESXCLI, and PowerCLI.
+ Ability to configure and administer VMware vSphere 7.0 +.
+ Ability to manage Cisco UCS, C-series, and B-series servers.
+ Understands virtualization capacity planning and reporting.
At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.
Software Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Software Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 19 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles. Junior Software Engineer - Cross-platform C++ - Multipass Software Engineer (Python/Linux/Packaging) Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Cross-platform C++ - Multipass Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer - Python - Container Images Distributed Systems Software Engineer, Python / Go Python Software Engineer - Ubuntu Hardware Certification Team Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Community Engineer (multiple roles and seniority levels) Embedded Linux Senior Software Engineer - OptimisationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr