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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Posted 23 days ago
Job Viewed
Job Description
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
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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Posted 3 days ago
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Job Description
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
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Junior Software Engineer - Cross-platform C++ - Multipass
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Senior Machine Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
In this role, you will have the opportunity to work on cutting-edge projects, collaborate with industry experts, and make significant contributions to the company's success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problem-solving skills, and have a proven track record in delivering successful machine learning solutions.
Requirements
Experience: 3-5 years Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Outstanding analytical and problem-solving skills Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team BSc in Computer Science, Mathematics or a similar field; a Master's degree is a plus
Responsibilities
Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Deploy the trained models and build REST APIs Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Study project Requirements write technical details at BRDs Keep abreast of developments in the field
Benefits
Paid Time Off Work From Home Performance Bonus Training & Development
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at BlackStone eIT by 2x Get notified about new Senior Machine Learning Engineer jobs in
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Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.
Responsibilities:
- Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
- Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
- Oversee the design and implementation of innovative data science projects that drive value for the organization
- Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
- Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
- Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
- Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
- Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
- Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
- Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
- Excellent project management skills and ability to prioritize tasks in a fast-paced environment
- Strong analytical and problem-solving skills with attention to detail
- Exceptional communication skills, both verbal and written, in English and Arabic
- Proven capability to drive collaboration across teams and influence senior stakeholders
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
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Senior Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
- Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
- Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
- Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
- Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
- Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
- Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
- Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
- Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
- Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
- A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
- Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
- Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
- Proven track record of successfully leading and delivering large-scale data science projects that drive business value
- Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
- Strong project management skills and ability to lead teams in a fast-paced environment
- Excellent analytical and strategic thinking skills, with a focus on results
- Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Senior Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
Develop and implement the overall data science vision, strategy, and framework to align with organizational goals Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
Requirements
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark) Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies Proven track record of successfully leading and delivering large-scale data science projects that drive business value Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses Strong project management skills and ability to lead teams in a fast-paced environment Excellent analytical and strategic thinking skills, with a focus on results Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
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Data Science Specialist, Analytics Division
Posted 8 days ago
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Job Description
Analyzing complex data sets to provide insights and recommendations. Developing algorithms and statistical models to extract valuable information from data. Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions. Presenting findings and recommendations to stakeholders clearly and concisely. Keeping up-to-date with advancements in data science and technology. Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, statistical modeling, and machine learning techniques. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work collaboratively in a team environment.
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Software Engineer
Posted 27 days ago
Job Viewed
Job Description
This role involves designing, and guiding software development efforts while contributing as a hands-on developer. The incumbent is responsible for software architecture, database design, and collaboration with cross-functional teams.
Key Responsibilities:
- Lead, design, and guide software development initiatives, while contributing individually when needed.
- Architect and design scalable software systems and solutions.
- Design, develop, and implement industrial database systems (MS SQL), including data structures, optimization, and performance tuning.
- Identify and implement business process improvements to enhance efficiency and quality.
- Participate in all phases of the software development lifecycle: requirements gathering, design, coding, testing, deployment, and maintenance.
- Develop enterprise-grade applications using ASP.NET technologies.
- Write complex MS SQL queries, stored procedures, and functions.
- Develop reports and dashboards using SSRS and Power BI.
- Debug and troubleshoot application and database issues.
- Participate in architectural and code reviews to ensure technical quality.
- Collaborate with cross-functional teams including department managers, vendors, and engineers.
- Communicate technical information effectively to both technical and non-technical stakeholders.
- Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field.
- Master s degree is a plus.
- Minimum 5-7 years of experience in software development
- Proven experience in designing and implementing software architectures and enterprise-level solutions.
- Strong background in ASP.NET development.
- Solid experience in MS SQL Server including complex queries, stored procedures, performance tuning, and database optimization.
- Hands-on experience developing reports using SSRS and dashboards using Power BI.
- Involvement in all phases of the software development lifecycle, including requirements gathering, system design, development, testing, deployment, and maintenance.
- Prior experience in identifying and executing business process improvements or workflow automation is highly desirable.
- Proficient in ASP.NET, .NET Framework / .NET Core
- Deep knowledge of MS SQL Server, T-SQL, indexing, and optimization techniques
- Experience with SSRS, Power BI, and data visualization/reporting tools
- Solid understanding of software architecture, design patterns, and application scalability
- Strong analytical and problem-solving skills
- Excellent communication skills (technical and non-technical)
- Ability to collaborate with cross-functional teams
- Strong documentation and presentation skills
- Fluent in English (Arabic is a plus)
Company Industry
- FMCG
- Foods
- Beverages
Department / Functional Area
- IT Software
Keywords
- Software Engineer
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People Looking for Software Engineer Jobs also searched #J-18808-LjbffrSoftware Engineer
Posted 23 days ago
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Job Description
Software Engineer
role at
Flourish Health 22 hours ago Be among the first 25 applicants Join to apply for the
Software Engineer
role at
Flourish Health Get AI-powered advice on this job and more exclusive features. This range is provided by Flourish Health. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$60,000.00/yr - $120,000.00/yr We provides IT services and consulting tailored for small healthcare businesses and private practices. Our mission is to help providers enhance efficiency, ensure data security, and adopt cost-effective technology solutions that support high-quality care.
In addition to healthcare IT support, we develop custom software solutions designed to meet the unique needs of small healthcare organizations. Our team builds secure, user-friendly, and HIPAA-compliant tools that simplify operations and improve patient outcomes.
Flourish Health is also exploring opportunities in the blockchain industry, aiming to leverage decentralized technologies to improve data integrity, transparency, and trust in healthcare and beyond.
At Flourish Health, we make technology simple, reliable, and accessible—so healthcare professionals can thrive in a digital world.
The Role
We're An Early-stage Team Building a Project— a Fully On-chain Decentralized Borrowing Protocol — And We're Currently Looking To Bring On Two Web3 Developers
Frontend Developer – to help update and improve our React. Smart Contract Developer – to build and integrate contracts using Solidity, ethers.js, wagmi, etc.
We're aiming to hire both by next month. Since we're a small, fast-moving startup, there's no formal hiring process — just a focus on working with skilled, motivated builders who can move fast.
These are short-term roles, but we’re open to extending the collaboration if it’s a good fit. Experience with multi-chain (EVM) development is a big plus.
Ideal Profile
You have hands-on experience building in Web3, with strong skills in React or Solidity/EVM tools like ethers.js, wagmi, or hardhat. You have at least 3 years experience, ideally within a Software Engineer role. You thrive in early-stage startup environments — you’re self-motivated, fast-moving, and able to take ownership without heavy structure. You possess strong analytical skills. You’re passionate about blockchain, decentralized finance (DeFi), or the future of technology in healthcare.
What's on Offer?
Join a fast-moving startup building a fully on-chain decentralized borrowing protocol — shape the future of Web3 in healthcare and beyond.
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