8 Cloud AI Solution Engineer Azure Platform jobs in Kuwait City

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Digital Processing Systems Kuwait (DPSKW) Digital Processing Systems Kuwait is looking for experienced

AI/ML/DL developers

to work on Agentic AI-based solutions for different use cases and industries. About DPS DPS Kuwait is a global leader in providing integrated business and technology solutions. Our products and services are engineered with the notion of adaptability, helping our clients to respond to market demands and technological advancements. We have a team comprising passionate people with technical knowledge, business sense, and communication skills, creating conducive environment and nurturing great ideas. Role Overview: We are looking for a highly skilled AI Engineer to develop and optimize Agentic AI applications leveraging Generative AI (GenAI) and large language models (LLMs). The ideal candidate should have a strong foundation in computer science, expertise in Python, and hands-on experience with machine learning and deep learning frameworks. Key Responsibilities: ·Design, develop, and deploy AI-powered agents using GenAI and LLM models. ·Fine-tune and optimize large language models for specific applications. ·Implement ML/DL algorithms using frameworks like TensorFlow, PyTorch, and LangChain / LangGraph. ·Work with vector databases, retrieval-augmented generation (RAG), and reinforcement learning techniques. ·Collaborate with data scientists and engineers to enhance model performance. ·Stay up to date with advancements in AI research and apply them to real-world problems. Required Qualifications: ·Bachelor's/Master’s in Computer Science, AI, or related field. ·Strong programming skills in Python. ·Hands-on experience with ML/DL libraries (TensorFlow, PyTorch, Hugging Face, etc.). ·Experience with deploying AI models and working with cloud platforms (AWS, GCP, Azure). ·Knowledge of AI agent frameworks (LangChain, OpenAI API, and similar tools) and LLM application development. ·Understanding of vector embeddings, prompt engineering, and fine-tuning techniques. Experience in autonomous AI agents (e.g., AutoGPT, BabyAGI, OpenAI Function Calling). Exposure to knowledge graphs, semantic search, and NLP applications. In Kuwait with Transferable Iqama Please send your CV to



(write

AI-Engineer

in the subject) (apply only if you comply with the above-mentioned requirements) Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Digital Processing Systems Kuwait (DPSKW) by 2x Get notified about new Artificial Intelligence Engineer jobs in

Salmiya, Hawalli, Kuwait . Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Senior Mechanical Engineer – Data Center

Senior Electrical Engineer – Data Center

Software Engineer - Data Infrastructure - Kafka

Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

We are seeking a highly experienced

Cloud Architect

with

deep expertise in Amazon Web Services (AWS)

and a working knowledge of

Microsoft Azure

to lead the design, implementation, and optimization of our enterprise cloud architecture. This role will be instrumental in shaping the organization’s hybrid/multi-cloud strategy, ensuring high availability, cost efficiency, scalability, and compliance across all cloud-hosted workloads. Key Responsibilities Cloud Architecture & Design Lead the design of secure, scalable, and resilient cloud architectures on AWS. Provide architectural guidance for deploying cloud-native applications and migrating legacy systems to AWS. Recommend and implement best practices for hybrid cloud environments involving AWS and Azure. Governance, Security & Compliance Implement and enforce cloud governance frameworks, security policies, and compliance controls (e.g., CIS, NIST, ISO 27001, GDPR). Design multi-account structures, identity federation (IAM, SSO), and zero-trust network architecture. Collaborate with cybersecurity teams on data protection, encryption, and threat modeling. Automation & Optimization Lead infrastructure as code (IaC) initiatives using tools like Terraform, CloudFormation, and CI/CD pipelines. Monitor and optimize cloud costs, resource utilization, and performance KPIs. Implement DevSecOps practices to ensure continuous integration and deployment with security baked in. Collaboration & Leadership Act as a subject matter expert (SME) on AWS and Azure cloud solutions for internal teams and business stakeholders. Mentor DevOps and Infrastructure engineers; support skill development across teams. Evaluate and select third-party cloud tools, vendors, and services based on business requirements. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Minimum

7+ years of experience

in IT infrastructure/cloud, with

5+ years hands-on in AWS . Strong experience designing enterprise architectures using AWS services (EC2, S3, VPC, RDS, Lambda, ECS/EKS, CloudWatch, etc.). Working knowledge of

Microsoft Azure

(VMs, VNets, Azure AD, Storage, etc.). Proficiency in

Terraform, CloudFormation, Ansible , or similar IaC tools. Experience with container orchestration (e.g., Kubernetes, EKS, AKS). Hands-on experience with CI/CD pipelines (GitLab CI, Jenkins, CodePipeline). Familiarity with enterprise networking, VPN, direct connect, DNS, and hybrid cloud connectivity. Preferred Certifications AWS Certified Solutions Architect – Professional

(Highly Preferred) Microsoft Certified: Azure Solutions Architect Expert

(a plus) TOGAF or equivalent enterprise architecture frameworks (optional) Skills Soft Skills Strong analytical, communication, and leadership skills. Ability to translate business needs into scalable, cost-effective cloud solutions. Comfortable managing cross-functional teams and stakeholders in matrixed environments.

#J-18808-Ljbffr

Join to apply for the

Cloud Solutions Architect - Alliances

role at

Canonical 4 weeks ago Be among the first 25 applicants Join to apply for the

Cloud Solutions Architect - Alliances

role at

Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring an

Cloud Solutions Architect in our Alliances team

to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location : This is a home-based role, we are hiring worldwide.

What your day will look like

Understand Ubuntu, Linux, networking and services in real-world environments Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX Help partners to offer and architect joint solutions utilizing Canonical's technologies on top of the public clouds and in the data center Design and publish joint Reference Architectures and perform technical validations with various partners Prepare and run onboarding sessions/workshops with various partners' teams to promote Canonical products and solutions

If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.

What we are looking for in you

Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation Experience designing and implementing solutions on top of public or private clouds Python and bash understanding, troubleshooting skills Fluent written and spoken English Excellent communication and presentation skills High motivation, ability to multi-task and follow-up reliably on commitments Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs Interest in new technologies like LXD, Juju and Snaps Ability to travel globally up to 30% of the time Degree in Computer Science, Mathematics, Physics or related technical field experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events

About Canonical

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 Mid-Senior level Employment type

Employment type Full-time Job function

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 “Solutions Architect” roles.

Information Systems - Open Source Technical Architect

Software Engineer - Solutions Engineering

Senior Software Engineer - Python/MongoDB

Senior Software Engineer - packaging - optimize Ubuntu Server

Senior Software Engineer - packaging - optimize Ubuntu Server

Senior Site Reliability / Gitops Engineer

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Responsibilities (Text Only)

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
• Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
• Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.
• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
• Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
• Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
• Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications (Text Only) Required Qualifications

• 5+ years technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
• OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience
• OR equivalent experience
• Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
• Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Additional or Preferred Qualifications

• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
• OR equivalent experience
• 4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#J-18808-Ljbffr

Responsibilities (Text Only)

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.

Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.

Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions.

Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.

Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.

Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.

Qualifications (Text Only) Required Qualifications

5+ years technical pre-sales or technical consulting experience

OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience

OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience

OR equivalent experience

Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.

Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting using integrated Data Security & Governance.

Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

Additional or Preferred Qualifications

6+ years technical pre-sales, technical consulting, or technology delivery, or related experience

OR equivalent experience

4+ years experience with cloud and hybrid, or on-premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#J-18808-Ljbffr

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring

Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions

to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location:

This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Junior Software Engineer - Cross-platform C++ - Multipass

Python Software Engineer - Ubuntu Hardware Certification Team

Senior Software Engineer - Python/MongoDB

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Join to apply for the

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

role at

Canonical Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

3 days ago Be among the first 25 applicants Join to apply for the

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

role at

Canonical Get AI-powered advice on this job and more exclusive features. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring

Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions

to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location:

This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Distributed Systems Software Engineer, Python / Go

Software Engineer - Data Infrastructure - Kafka

Software Engineer - Python - Container Images

Embedded Linux Field Engineer for Devices/IoT

Software Engineer - Python - Container Images

Senior Site Reliability / Gitops Engineer

Community Engineer (multiple roles and seniority levels)

Software Engineer - packaging - optimize Ubuntu Server

Senior Software Engineer - packaging - optimize Ubuntu Server

Linux Cryptography and Security Engineer

Software Engineer (Python/Linux/Packaging)

Embedded Linux Senior Software Engineer - Optimisation

Software Engineer - packaging - optimize Ubuntu Server

Software Engineer - packaging - optimize Ubuntu Server for public clouds

Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu

Senior Ubuntu Embedded IoT System Engineer

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Junior Software Engineer - Cross-platform C++ - Multipass

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr