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ai development manager

Beyon

<div>
 
 
 Job Objective
 
 
 
 Drive organisation-wide adoption, engagement, and effective usage of AI-assisted development tools and practices. Enable developers through workshops, hands-on training, community building, and structured knowledge-sharing. Act as the bridge between engineering teams, platform owners, and AI tool providers to ensure continuous improvement and impactful utilisation of AI capabilities.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Strategic
 
 <ul>
 <li>
 Drive organisation-wide adoption of AI engineering tools and practices through structured enablement.
 </li>
 <li>
 Shape and communicate a compelling narrative around the value and impact of AI-assisted development.
 </li>
 <li>
 Build and maintain a community of practice that strengthens internal capability and collaboration.
 </li>
 <li>
 Influence workflow optimisation and responsible AI use through best practices and education.
 </li>
 </ul>
 
 Financial
 
 <ul>
 <li>
 Support financial impact realisation by increasing usage and proficiency of AI tools across teams.
 </li>
 <li>
 Contribute to ROI assessments by collecting success stories, usage metrics, and improvement data.
 </li>
 <li>
 Reduce training and onboarding costs through reusable materials, knowledge bases, and scalable enablement assets.
 </li>
 </ul>
 
 Operational
 
 <ul>
 <li>
 Support onboarding of new teams during AI tooling expansion.
 </li>
 <li>
 Conduct workshops, instructor-led training, demos, and &ldquo;AI pair programming&rdquo; sessions with developers.
 </li>
 <li>
 Coordinate regular knowledge-sharing sessions, office hours, and drop-in support to assist developers with AI-assisted development.
 </li>
 <li>
 Build and maintain an internal community of practice focused on AI-assisted engineering.
 </li>
 <li>
 Produce educational materials, examples, coding templates, and video walkthroughs.
 </li>
 <li>
 Maintain, update, and expand the internal AI knowledge base and FAQ.
 </li>
 <li>
 Track participation, engagement, and effectiveness of training and enablement activities.
 </li>
 <li>
 Gather developer feedback, assess challenges, and document success stories.
 </li>
 <li>
 Identify recurring developer challenges and escalate insights and improvement opportunities to enablement leads and program management.
 </li>
 <li>
 Assist with evaluating new AI tools and features based on developer feedback.
 </li>
 <li>
 Collaborate with enablement, platform, and security teams to ensure training materials and guidance align with approved standards and policies.
 </li>
 </ul>
 
 People
 
 <ul>
 <li>
 Ensure timely completion of PMR process
 </li>
 <li>
 Continuously share the knowledge and understanding of the technology industry and business trends
 </li>
 <li>
 Ensure active participation in employee engagement survey
 </li>
 <li>
 Engage and support developers to encourage adoption of AI-enabled ways of working.
 </li>
 <li>
 Promote collaboration, knowledge sharing, and continuous learning across teams.
 </li>
 <li>
 Maintain positive relationships with stakeholders to support effective enablement and communication.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or equivalent.
 </li>
 <li>
 5&ndash;8 years of experience as a software engineer, developer relations specialist, or technical trainer.
 </li>
 <li>
 Strong storytelling, presentation, and communication skills.
 </li>
 <li>
 Practical hands-on experience using AI-assisted coding tools in real projects.
 </li>
 </ul>
</div>

AI Development Manager

<div>
 
 
 Job objective
 
 
 
 Lead the implementation and scaling of AI-driven engineering tools, frameworks, and methodologies across the organisation. Drive adoption of AI-assisted development capabilities to improve productivity, software quality, and delivery velocity.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Strategic:
 
 <ul>
 <li>
 Define the AI engineering enablement roadmap and ensure alignment with organisational digital strategy.
 </li>
 <li>
 Establish productivity and quality metrics to evaluate the impact of AI practices.
 </li>
 <li>
 Provide insights, recommendations, and ROI-driven justifications to senior leadership.
 </li>
 <li>
 Create enterprise-wide playbooks and guardrails for responsible and secure AI-assisted development.
 </li>
 <li>
 Guide long-term scaling strategy and integration of AI into standard engineering workflows.
 </li>
 </ul>
 
 Financial:
 
 <ul>
 <li>
 Define the financial impact of AI-assisted development through measurable productivity improvements and cost efficiencies.
 </li>
 <li>
 Conduct ROI analyses for pilots and scaled implementations.
 </li>
 <li>
 Ensure optimal utilisation of AI tooling investments and licensing.
 </li>
 <li>
 Support the business case for continued investment in AI tooling, training, and platform upgrades.
 </li>
 </ul>
 
 Operational:
 
 <ul>
 <li>
 Lead hands-on pilots with developer teams to evaluate and adopt AI-assisted coding, code review, testing, and quality assurance capabilities.
 </li>
 <li>
 Design and execute structured pilot plans with clear objectives, success criteria, and governance controls.
 </li>
 <li>
 Instrument engineering workflows to capture usage analytics, KPIs, and performance data.
 </li>
 <li>
 Create and maintain internal playbooks covering AI-assisted coding, test generation, refactoring, documentation, and quality automation.
 </li>
 <li>
 Curate reusable templates, examples, and engineering standards to support consistent adoption.
 </li>
 <li>
 Ensure seamless integration of AI capabilities with CI/CD pipelines, developer platforms, IDEs, DevOps toolchains, and security workflows.
 </li>
 <li>
 Collaborate with security, DevOps, and architecture teams to validate compliance, scalability, and performance.
 </li>
 <li>
 Troubleshoot technical issues and develop reference integrations.
 </li>
 <li>
 Execute rollout and onboarding plans following successful pilots, including adoption playbooks and enablement materials.
 </li>
 <li>
 Partner with training and documentation teams to support change enablement and developer upskilling.
 </li>
 </ul>
 
 People:
 
 <ul>
 <li>
 Ensure timely completion of PMR process
 </li>
 <li>
 Continuously share the knowledge and understanding of the technology industry and business trends
 </li>
 <li>
 Ensure active participation in employee engagement survey
 </li>
 <li>
 Mentor developers on effective use of AI tooling.
 </li>
 <li>
 Promote a culture of experimentation and continuous learning.
 </li>
 <li>
 Build partnerships with IT, DevOps, Security, and external vendors.
 </li>
 </ul>
 
 
 
 
 
 Required qualification &amp; experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
 </li>
 <li>
 7&ndash;10 years of experience in software engineering, DevOps, or platform engineering.
 </li>
 <li>
 Experience with AI-assisted development tools.
 </li>
 <li>
 Familiarity with MLOps concepts.
 </li>
 <li>
 Strong coaching and technical enablement skills.
 </li>
 </ul>
</div>

AI Engineering Professional

Confidential

<figure class="table"><table><tbody><tr><td>Job Description:&nbsp;<ul><li>Build, deploy, and operate production AI systems and services.</li><li>Design and implement RAG pipelines across structured and unstructured data.</li><li>Develop AI-powered chatbots and automation workflows.</li><li>Integrate AI solutions with internal platforms, external data sources, and client systems.</li><li>Assist in fine-tuning LLMs and optimizing model performance.</li><li>Design data ingestion pipelines, including document processing and web data extraction.</li><li>Monitor AI systems and continuously optimize performance, reliability, and cost.</li><li>Collaborate with engineering, product, and operations teams to translate business requirements into AI solutions.</li><li>Ensure all AI systems comply with security, privacy, and reliability standards.</li></ul>&nbsp;Educational, Skills, and Experience:&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, Artificial Intelligence, or a related field.</li><li>3–5 years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong problem-solving and analytical abilities.</li><li>Ability to translate business requirements into scalable technical solutions.</li></ul>&nbsp;Technical Skills:&nbsp;<ul><li>Advanced Python development and API integration.</li><li>Experience working with Large Language Models (LLMs).</li><li>Design and implementation of Retrieval-Augmented Generation (RAG) systems.</li><li>Vector databases, embeddings, and search architectures.</li><li>AI model optimization, evaluation, and performance monitoring.</li><li>Data ingestion pipelines and document processing systems.</li><li>Familiarity with fine-tuning techniques and open-source LLMs.</li><li>Understanding of AI security, privacy, and cost optimization strategies.</li></ul>&nbsp;Additional Eligibility Qualifications&nbsp;<ul><li>Ability to work independently and as part of a team.</li><li>Strong organizational and time management skills.</li><li>Willingness to continuously learn and adapt.</li><li>Ability to handle multiple projects in a fast-paced environment.</li><li>Strong sense of responsibility and ownership of deliverables.</li></ul></td></tr></tbody></table></figure>

AI Engineer

JPMorganChase

<div>
 
 Job Description
 
 
 
 Kick-start your software engineering career as an entry-level Software Engineer I. Be part of a team that is pushing the boundaries of what's possible.
 
 
 As a Software Engineer I at JPMorganChase within the Commercial and Investment Bank for Trade Finance business, you will be a part of an agile team that works to enhance, design, and deliver the software components to the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain microservices using Java and Spring Boot.
 </li>
 <li>
 Develop and maintain user interfaces using React, ensuring responsive and intuitive design.
 </li>
 <li>
 Implement cloud-native and cloud-hybrid solutions on Kubernetes container orchestration technology.
 </li>
 <li>
 Leverage AI-powered development tools such as GitHub Copilot or similar to enhance productivity, code quality, and accelerate development cycles.
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features in an agile environment.
 </li>
 <li>
 Utilize domain-driven design principles to architect scalable and maintainable systems and develop event-driven architectures to enhance system responsiveness and scalability.
 </li>
 <li>
 Work with SQL databases (e.g., Postgres) and NoSQL databases (e.g., MongoDB) to manage data effectively.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field with 1+ year of experience
 </li>
 <li>
 Experience in software development, with a focus on microservices architecture.
 </li>
 <li>
 Proficiency in Java and Spring Boot.
 </li>
 <li>
 Use AI-powered development tools such as GitHub Copilot.
 </li>
 <li>
 Stay informed about advancements in AI-assisted software engineering and proactively adopt best practices for AI-driven development.
 </li>
 <li>
 Hands-on experience in Microservices, RESTful Web services development in Java (Spring Boot), Spring Data JPA.
 </li>
 <li>
 Proficient in UTCs, Mutation testing, and API automation testing strategies.
 </li>
 <li>
 Experience with working with cloud platforms and strong understanding of domain-driven design and event-driven architecture.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience with CI/CD pipelines and DevOps practices.
 </li>
 <li>
 Knowledge of containerization technologies like Docker.
 </li>
 <li>
 Familiarity with RESTful APIs and web services.
 </li>
 <li>
 Familiarity with prompt engineering and best practices for interacting with generative AI tools.
 </li>
 <li>
 Basic to intermediate proficiency in React for building and maintaining web user interfaces.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world&rsquo;s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Software Engineer I

<div>
 
 
 Job Objective
 
 
 
 Lead the operational execution of Beyon&rsquo;s AI adoption and transformation program by coordinating activities across the Engage, Enable, and Elevate workstreams. Ensure structured delivery, strong governance, and clear communication while tracking KPIs, enabling cross-OpCo collaboration, and delivering executive-ready insights to drive measurable business impact and scalable AI adoption.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Strategic
 
 <ul>
 <li>
 Define and maintain program-level KPIs across Engage, Enable, and Elevate workstreams.
 </li>
 <li>
 Prepare executive-ready insights, recommendations, and governance materials.
 </li>
 <li>
 Support planning for multi-OpCo scaling waves and long-term AI operating models.
 </li>
 <li>
 Ensure program visibility, transparency, and narrative consistency across leadership levels.
 </li>
 </ul>
 
 Financial
 
 <ul>
 <li>
 Track program-level metrics contributing to financial impact (efficiency, cost savings, productivity improvements).
 </li>
 <li>
 Contribute to budget monitoring by aligning adoption, usage, and transformation metrics with financial performance.
 </li>
 <li>
 Support ROI tracking for pilots, enablement activities, and operational enhancements.
 </li>
 </ul>
 
 Operational
 
 <ul>
 <li>
 Oversee planning and execution of AI awareness campaigns, showcases, demos, and internal communications.
 </li>
 <li>
 Coordinate publication of ambassador stories, practical tips, and OpCo success highlights.
 </li>
 <li>
 Track engagement metrics across events, communications, and internal platforms.
 </li>
 <li>
 Support creation and rollout of guidelines, governance materials, playbooks, and reusable prompts.
 </li>
 <li>
 Track adoption of AI tools across OpCos, including access provisioning, onboarding flows, and usage analytics.
 </li>
 <li>
 Support development of the AI Academy and custom integrations in collaboration with technical teams.
 </li>
 <li>
 Monitor progress of AI-driven automation, workflow enhancements, and enterprise solution pilots
 </li>
 <li>
 Work with IT, operations, and product teams to manage dependencies, remove blockers, and ensure timely delivery.
 </li>
 <li>
 Define and maintain program-level KPIs across Engage, Enable, and Elevate categories.
 </li>
 <li>
 Build and update dashboards summarising progress, risks, adoption metrics, and business outcomes.
 </li>
 <li>
 Prepare executive-ready reports with insights, recommendations, and required decisions.
 </li>
 <li>
 Serve as the operational hub across OpCos, technical teams, senior leadership, and external partners.
 </li>
 <li>
 Facilitate governance forums including program check-ins, risk reviews, and steering committees.
 </li>
 <li>
 Translate technical and business developments into structured communication for diverse audiences.
 </li>
 </ul>
 
 
 People
 
 
 <ul>
 <li>
 Ensure timely completion of PMR process
 </li>
 <li>
 Continuously share the knowledge and understanding of the technology industry and business trends
 </li>
 <li>
 Ensure active participation in employee engagement survey
 </li>
 <li>
 Foster strong collaboration across OpCos, technical teams, and business stakeholders by enabling open communication, shared objectives, and effective working relationships.
 </li>
 <li>
 Coach and support teams involved in AI initiatives by promoting adoption, addressing concerns, and encouraging confidence in new ways of working.
 </li>
 <li>
 Ensure high levels of stakeholder engagement and satisfaction through proactive communication, facilitation, and issue resolution.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Computer Science, Engineering, or equivalent.
 </li>
 <li>
 5&ndash;8 years of experience in PMO, digital transformation, agile project management, or programme governance.
 </li>
 <li>
 Strong organisational, analytical, and reporting skills.
 </li>
 <li>
 Ability to bridge business and technical stakeholders effectively.
 </li>
 <li>
 Experience managing technology or transformation initiatives is preferred.
 </li>
 </ul>
</div>

AI Program Manager

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 a
 
 Golang Engineering Manager
 
 , who strives for accountability for the development of an internal product, who has high engineering quality standards, continuously develops their skills as well as skills of their direct reports, and who has the drive to deliver. This is an exciting opportunity to work with great people and exciting open-source solutions on innovative engineering solutions supporting Canonical's growth.
 
 
 The Commercial Systems unit is conceived as six engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Golang plays an integral role in it. We are looking for software engineering managers for these teams:
 
 
 The
 
 Billing
 
 team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business, payment systems. This team is an excellent match for those interested in growing their skills in the billing and payment processing domain.
 
 
 The
 
 Livepatch
 
 team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches. This team is a great opportunity for those interested in security and with a strong focus on engineering quality and reliability.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Accountability for the design and development of an internal product
 </li>
 <li>
 Leading a team of software engineers working in Golang
 </li>
 <li>
 Developing the skills and capabilities of direct reports
 </li>
 <li>
 Seeking improvements to established processes, designs, and solutions
 </li>
 <li>
 Building an understanding of business neds to deliver the most impact
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with software development in a high-level language (Golang, Python, Java, ...)
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and SRE experience
 </li>
 <li>
 Experience with accounting, sales, sales operations, or other business roles
 
 
 </li>
 </ul>
 
 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 recognize 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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.
 
 
</div>

Golang Engineering Manager, Commercial Systems

<div>
 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.
 
 
 Our mission is to build a next-generation private cloud infrastructure, combining KVM, Ceph, and SDN technologies to create a data center scale cloud that 'just works' and provides a mission-critical cloud for edge and core enterprise deployments. We're hiring engineering managers with experience in high-quality microservice architectures and high-performance team leadership who also have deep familiarity with Linux kernel, virtualisation, storage and networking.
 
 
 LXD components span the entire software stack from low-level kernel features to the upper level management API/CLI. Our most effective engineers are fluent in all these layers, and able to anticipate the consequences of design and engineering choices elsewhere in a complex distributed system.
 
 
 As an engineering manager at Canonical you must have a solid technical background, but your responsibility is to run an effective team and develop the colleagues you manage. You are expected to help them grow as engineers, do important work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution.
 
 
 The successful candidate will have experience leading successful, collaborative engineering teams, and demonstrate the ability to solve challenging distributed systems problems and deep knowledge of Linux.
 
 
 
 
 Location
 
 
 : This is a remote position available in EMEA and the Americas.
 
 
 What you will focus on
 
 
 <ul>
 <li>
 Lead a team of remote engineers
 </li>
 <li>
 Develop talent through coaching, mentoring, feedback and hands-on career development
 </li>
 <li>
 Set and manage expectations with other engineering teams, senior management, and external stakeholders
 </li>
 <li>
 Advocate and advance modern software development practices
 </li>
 <li>
 Participate in the engineering process through code and architectural review
 </li>
 <li>
 Engage with teams at Canonical, the open source community and partners
 </li>
 <li>
 Work from home with global travel for 4 to 6 weeks per year for internal and external events
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 You understand modern Linux cloud computing technologies, including networking, storage, containers and K8s
 </li>
 <li>
 You love developing and growing people and have a strong track record of doing it
 </li>
 <li>
 You are focused on success and the delivery of timely, high quality software
 </li>
 <li>
 You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
 </li>
 <li>
 You have strong written and verbal technical communication skills
 </li>
 <li>
 You have experience programming in C and/or Go.
 
 
 </li>
 </ul>
 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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 our 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.
 
 
</div>

Software Engineering Manager - Container and Virtualisation Infrastructure

Explore 256+ Ai development manager in Bahrain this January. Find roles across top companies and apply now to boost your career.