470 Python jobs in Bahrain

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 1100+ colleagues in 75+ countries and very few office based roles. 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.

Canonical is building a new generation of Ubuntu-based container images to simplify open-source application deployment across the world. These container images will be free to use with long-term security commitments, and engineered for performance, security and usability. As with Ubuntu, we will work in the open and welcome community participation.

In this role, you'll be developing the tools and technology for building and maintaining this new generation of container images. You'll be working with multiple teams, both inside and outside Canonical, to ensure we deliver container images with the highest quality whilst maintaining a seamless Ubuntu user experience. You will also be highly involved in the implementation and maintenance of the Continuous Integration and Continuous Delivery automation around these container images, for which you are expected to demonstrate deep insights into container-based DevOps.

You will be contributing to fast-moving products like Rocks (OCI images) and Chisel, and thus have the chance to help steer and consolidate this new team. You'll gain experience with numerous container technologies and participate in exciting and exploratory tasks, where your feedback will be critical for the decision-making process. As an engineer, your seniority will be based on your software development background and ability to lead junior team members.

Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical. This is an exciting opportunity for experienced software engineers looking for a place to leave their mark, who are passionate about shaping an open source product with the highest quality, with and for the community!

EMEA

1. Build robust, scalable, leading-edge container images
2. Work on automated CI/CD processes for building, testing and publishing our container images
3. Write tools and tests for assessing security compliance and cloud-native compatibility
4. Work in Python to deliver new functionalities to our container-building tools
5. Participate in strong engineering process through code and architectural review
6. Provide technical feedback for the team's decision-making process
7. Engage with the open-source community as a subject-matter expert
8. Grow our knowledge base and write documentation
9. Work in a collaborative, agile and globally distributed environment
10. Mentor and help hiring
11. Work from home with global travel up to 15% for internal and external events

1. You are knowledgeable and passionate about software development
2. You are a team player and have experience in collaborative development
3. You have worked with CI/CD systems (e.g. Jenkins, GitHub Actions, Concourse CI, etc.)
4. You have a track record of delivering timely, high-quality software
5. You have experience with container images and containerised operations
6. You master at least one container management/orchestration tool (e.g. Docker, Kubernetes, etc.)
7. You have significant experience with Python
8. You are experienced with Linux systems administration and package management
9. You have strong written and verbal communication skills to convey technical concepts
10. You bring clarity to technical and engineering discussions
11. You are someone who strongly believes that sharing is caring, and knowledge is power
12. Your skills range from those of a Graduate to a mid-senior Software Engineer
13. You have a Bachelor's or equivalent in Computer Science, STEM or a similar degree

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.

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

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 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. 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.

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

3 months ago Be among the first 25 applicants

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

Get AI-powered advice on this job and more exclusive features.

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.

We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.

The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.

As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.

Location: this is a Globally remote role

What your day will look like

• Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
• Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
• Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
• Deploy, manage, and debug highly distributed systems
• Monitor and report on automated testing efforts
• Collaborate daily with a globally distributed team
  
  

• Solid background in modern test processes and strategies
• Experience with Python or Go development
• Strong object oriented development skills
• Ability to develop and ship production grade modern web applications
• Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
• Knowledge of networking technologies and fundamentals
• Solid understanding of Linux system architecture
• A capacity for complex abstract thinking
• Capability for 2-4 weeks of international travel travel per year
  
  

• Collecting and analyzing large multidimensional datasets
• Operating data platforms: key-value stores, relational or document databases, event buses
• Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
• Developing AI/ML pipelines
  
  

• 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
  
  

• 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

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

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.

We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.

The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.

As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.

Location: this is a Globally remote role

What your day will look like

• Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
• Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
• Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
• Deploy, manage, and debug highly distributed systems
• Monitor and report on automated testing efforts
• Collaborate daily with a globally distributed team
  
  

• Solid background in modern test processes and strategies
• Experience with Python or Go development
• Strong object oriented development skills
• Ability to develop and ship production grade modern web applications
• Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
• Knowledge of networking technologies and fundamentals
• Solid understanding of Linux system architecture
• A capacity for complex abstract thinking
• Capability for 2-4 weeks of international travel travel per year
  
  

• Collecting and analyzing large multidimensional datasets
• Operating data platforms: key-value stores, relational or document databases, event buses
• Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
• Developing AI/ML pipelines
  
  

• 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
  
  

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
  
  

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
  

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
  
  

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
  
  

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.
  
  

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus
  
  

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

• Design, build, and deploy ML/AI models for:
  • Personalized investment recommendations
  • Smart content curation
  • Behavioral and predictive analytics
  • Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus

Join to apply for the Engineering Manager - Public Cloud, Python, Golang role at Canonical

1 day ago Be among the first 25 applicants

Join to apply for the Engineering Manager - Public Cloud, Python, Golang 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 1200+ colleagues in 75+ countries and very few office-based roles. 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 Engineering Manager to lead one of our teams that work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimize Ubuntu for their infrastructure. Our team builds, tests, and publishes the base Ubuntu images used by millions to ensure optimal performance and security in their cloud estate. We aim to deliver the very best public cloud VM experience, as well as specialized images for specific purposes on each cloud. Our goal is to celebrate and enable their particular points of differentiation on their clouds, while also ensure a common operating experience for their users.

As an engineering manager you need to bring both technical and management skills to the leadership of your team. You will also need to represent the team in direct partner engagement. You'll be responsible for the stability and functionality that our cloud users have come to expect. You will strive to automate the delivery of existing and new Ubuntu image products applied to all modern workloads from web servers to GPU-aided AI for servers, VM's and containers.

As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution.

We work in Python and Golang, and expect engineering managers to be fluent in the language, architecture and components that their team is building with. Code reviews and architectural leadership are part of the job. As manager, the commitment to healthy engineering practices, documentation, quality and performance optimisation are equally important technical responsibilities, as is the requirement for fair and clear management, and the obligation to ensure a high performing team.

The role entails

• Build and lead a team of engineers in your and similar timezones
• Develop talent through coaching, mentoring, feedback and hands-on career development
• Demonstrate sound engineering principles and directly contribute toward your team's goals
• Set and manage expectations with other engineering teams, management, and external stakeholders
• Lead modern, agile software development practices
• Ensure a healthy, collaborative engineering culture in line with the company values
• Be an active part of the leadership team and collaborate with other leaders in the organisation
• Build automated, highly reliable image delivery, testing and publication pipelines
• Engage with many other teams at Canonical, as well as the open source community and commercial partners
• Work from home with global travel up to 15% for internal and external events
  
  

• You love to mentor, develop and grow people, and have a track record of doing it
• You are knowledgeable and passionate about software development
• You are focused on success and the delivery of timely, high quality software
• You have experience and commitment to agile development methodologies
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• Software development experience in Python or Golang
• Effective written and verbal communication skills
• Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS
  
  

• 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
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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

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 1200+ colleagues in 75+ countries and very few office-based roles. 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 Engineering Manager to lead one of our teams that work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimize Ubuntu for their infrastructure. Our team builds, tests, and publishes the base Ubuntu images used by millions to ensure optimal performance and security in their cloud estate. We aim to deliver the very best public cloud VM experience, as well as specialized images for specific purposes on each cloud. Our goal is to celebrate and enable their particular points of differentiation on their clouds, while also ensure a common operating experience for their users.

As an engineering manager you need to bring both technical and management skills to the leadership of your team. You will also need to represent the team in direct partner engagement. You'll be responsible for the stability and functionality that our cloud users have come to expect. You will strive to automate the delivery of existing and new Ubuntu image products applied to all modern workloads from web servers to GPU-aided AI for servers, VM's and containers.

As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution.

We work in Python and Golang, and expect engineering managers to be fluent in the language, architecture and components that their team is building with. Code reviews and architectural leadership are part of the job. As manager, the commitment to healthy engineering practices, documentation, quality and performance optimisation are equally important technical responsibilities, as is the requirement for fair and clear management, and the obligation to ensure a high performing team.

The role entails

• Build and lead a team of engineers in your and similar timezones
• Develop talent through coaching, mentoring, feedback and hands-on career development
• Demonstrate sound engineering principles and directly contribute toward your team's goals
• Set and manage expectations with other engineering teams, management, and external stakeholders
• Lead modern, agile software development practices
• Ensure a healthy, collaborative engineering culture in line with the company values
• Be an active part of the leadership team and collaborate with other leaders in the organisation
• Build automated, highly reliable image delivery, testing and publication pipelines
• Engage with many other teams at Canonical, as well as the open source community and commercial partners
• Work from home with global travel up to 15% for internal and external events
  
  

• You love to mentor, develop and grow people, and have a track record of doing it
• You are knowledgeable and passionate about software development
• You are focused on success and the delivery of timely, high quality software
• You have experience and commitment to agile development methodologies
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• Software development experience in Python or Golang
• Effective written and verbal communication skills
• Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS
  
  

• 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
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events