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

Join Canonical as a Python and Kubernetes Software Engineer, where you will develop cutting-edge open source solutions for data analytics, MLOps, and AI/ML workflows. Collaborate with a global team to create impactful solutions on public and private clouds, utilizing top tools like Kubeflow, MLFlow, and Apache Airflow. Contribute to projects that empower ind…

Canonical, a trailblazer in open source software and operating systems for global enterprises, is seeking a talented Software Engineer to join our dynamic Kubernetes product team. Our flagship platform, Ubuntu, is integral to cutting-edge enterprise initiatives including public cloud, data science, AI, engineering innovation, and IoT. With a customer base that includes top public cloud and silicon providers, as well as industry leaders across various sectors, we pride ourselves on fostering a culture of global collaboration. Our team comprises over 1000 professionals across 70 countries, primarily working remotely, with occasional in-person meetings held in exciting locations worldwide to strategize and execute effectively.As we continue to grow, we invite a passionate Software Engineer to contribute to our Kubernetes offerings. You will play a pivotal role in developing operators and add-ons, ensuring seamless lifecycle management of critical components while delivering a zero-ops experience for project integration into Kubernetes. This position provides a unique opportunity to work closely with cutting-edge open-source technologies, enhancing user functionality and collaborating with industry peers to deliver optimal solutions to our customers.If you are enthusiastic about open source software, Linux, Golang, Python, and Kubernetes, we would love to hear from you!Location: This is a remote role available for candidates in EMEA and the Americas.

Join Canonical as a Software Engineer and play a pivotal role in revolutionizing open source software management on public clouds and data centers. As part of our dynamic global team, you'll leverage Python and Kubernetes to create innovative solutions that enhance operational efficiency. Your work will involve designing and delivering robust software operations code across the Linux stack, ensuring our systems scale effectively and meet the demands of our diverse customer base. This role is perfect for passionate engineers who thrive in a collaborative environment and are excited about cloud computing and open source technologies.

Join us as the pioneer engineer on TLDR's newly established Applied AI team. In this role, you will be instrumental in developing production-ready AI agents and crafting modular, composable Claude Skills that empower our non-technical team members to create their own AI workflows effortlessly.Who We AreProduct: At TLDR, we operate the largest network of tech newsletters globally, boasting over 7 million subscribers. Our newsletters cover a diverse range of topics, including startups, software engineering, AI, cybersecurity, product development, and much more. Each issue is crafted by industry experts, ensuring relevance and accuracy. For instance, TLDR Crypto contributors work at Coinbase, while TLDR Dev is penned by engineers from DeepMind and Meta. This unique approach makes TLDR the ultimate resource for staying updated on what truly matters in tech.Team: Our dedicated full-time team of 24 consists of professionals with experience from leading media brands like TikTok, Business Insider, and Morning Brew.Traction: We have successfully doubled our revenue from 2024 to 2025 and aim to achieve another double by 2026. Our growth is supported by advertisers eager to connect with tech decision-makers, including big names like AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.About the RoleIn this role, you will:Develop Claude Skills and internal AI tools. Design and implement modular Claude Skills that seamlessly integrate with our core systems (HubSpot, Google Drive, Slack, Sponsy). Your work will enable non-technical users to easily compose these components into effective workflows without any coding.Launch autonomous AI agents. Utilize workflow automation platforms like n8n to create agents that function independently across various departments, including sales, marketing, and operations—managing tasks such as research, data enrichment, proposal generation, and routine decision-making autonomously.Oversee the AI development environment. Establish and maintain the infrastructure necessary for the team to innovate with AI tools—whether that involves Claude Code, Cursor, or emerging technologies. Your contributions will include creating templates, patterns, and documentation to enhance the team’s ability to deliver promptly.Focus on composability in design. Engage in thoughtful consideration of interface design among AI components. Build systems that allow for effective interaction between various AI outputs and inputs, ensuring a seamless user experience.

GenAI/ML Engineer100% Remote PositionW2 Candidates OnlyWe are seeking a talented GenAI/ML Engineer to join our innovative team at hudsonmanpower. This fully remote role allows you to leverage your expertise in artificial intelligence and machine learning to create prototypes, proofs of concept (PoCs), and minimum viable products (MVPs).Key Responsibilities:Develop and prototype cutting-edge AI/ML solutions.Utilize your strong foundation in AI, deep learning, and machine learning principles.Leverage programming skills in Python, along with tools such as Hugging Face, Langchain, and OpenAI API.Work with deep learning frameworks including TensorFlow, Keras, and PyTorch.Engage with cloud platforms like Google Model Garden, Amazon Bedrock, and Nvidia Nim.Handle multi-modal data and intelligent agent-based tools.Qualifications:Self-motivated and passionate about solving complex problems using AI/GenAI.Collaborative mindset with a flair for innovation.

Canonical, a premier provider of open-source software and operating systems, is on the lookout for an Engineering Manager specializing in Python and Kubernetes. This role is pivotal in cultivating a top-notch DevOps culture within our Information Systems department. At Canonical, we believe in revolutionizing the management of complex business operations and empowering our customers to adopt innovative solutions. As the Engineering Manager, you will lead a dedicated team, driving the transformation of internal workloads to align with the same open-source workloads our customers operate. Your leadership will ensure the high availability of Ubuntu and our services globally, while fostering an environment of quality, collaboration, and technical excellence.

Are you a talented software engineer with profound knowledge in infrastructure and a systems-oriented mindset eager to influence the future of AI? As large-scale language models become pivotal in understanding real-world systems, cloud architectures, and performance-critical infrastructure, your expertise will play a key role in shaping their training data. We are seeking Software Engineer Infrastructure Specialists proficient in JavaScript, TypeScript, and Python. Your focus on systems thinking, software and infrastructure architecture, performance optimization, and quality engineering will be essential. You will engage with advanced language models through realistic infrastructure and platform scenarios that involve cloud design, Infrastructure-as-Code abstractions, deployment workflows, scalability challenges, and failure modes. Your work will evaluate how these models reason about architectural tradeoffs, abstraction layers, environment isolation, state management, and reliability across distributed systems. On a daily basis, you will interact with the model on infrastructure and platform engineering tasks utilizing JavaScript, TypeScript, and Python. Your responsibilities include verifying architectural integrity and logical correctness, assessing code quality and testing strategies, analyzing performance bottlenecks and deployment risks, capturing reproducible failure cases, and recommending enhancements to prompt design and evaluation metrics to fortify model reasoning. A bachelor's, master's, or PhD degree in computer science, software engineering, or a closely related technical field is preferred. Practical experience in cloud platforms, infrastructure engineering, platform or DevOps roles, performance analysis, or QA practices is crucial. Exceptional technical communication and the ability to clearly articulate system-level reasoning and tradeoffs are vital. Are you ready to transform your engineering skills into the foundational knowledge for tomorrow's AI? Apply now and begin training the model that will educate the world.

Job Title: Senior AI Engineer - Rapid Prototyping & AnalyticsAt Prompt, we are a purpose-driven startup on the forefront of transforming healthcare through innovative AI solutions, particularly in the realms of speech and language processing. We are seeking a seasoned Senior AI Engineer to spearhead our ambitious AI initiatives, contributing to our mission of enhancing patient care and rehabilitation therapy.Prompt specializes in providing state-of-the-art, automated B2B enterprise software designed for rehabilitation therapy businesses, their teams, and the patients they serve. Our platform has quickly become the preferred choice in the industry, and we are experiencing rapid growth by delivering exceptional software solutions.As we continue to scale, AI is becoming integral not only to our product development but also to our internal operations. We are looking for a Senior AI Engineer who is comfortable operating across various domains within the company, adept at designing, evaluating, and overseeing comprehensive AI systems. The ideal candidate will be skilled in selecting, implementing, and refining outcome metrics. This role will support both product-focused AI efforts and the development of internal AI tools that enhance efficiency, decision-making, and quality across Engineering, Design, Sales, Marketing, Support, Finance, and Operations.This position offers a high degree of ownership, emphasizing the need to iteratively build systems, collaborate closely with stakeholders, and ensure our AI tools provide tangible value.

At GitLab, we are revolutionizing the DevSecOps landscape with our intelligent orchestration platform. Our mission is to empower organizations to enhance developer productivity, streamline operations, mitigate security risks, and accelerate their digital transformation journey. With over 50 million registered users and a significant number of Fortune 100 companies relying on us, GitLab is trusted to deliver better, more secure software at speed.Our commitment to innovation is mirrored in our work culture. We leverage AI as a fundamental productivity tool, encouraging all team members to integrate AI into their daily tasks, fostering efficiency and innovation. At GitLab, your career can flourish, your ideas can thrive, and every voice is heard. Our high-performance culture, grounded in our values, promotes continuous knowledge sharing, enabling team members to unlock their full potential while collaborating with industry experts to tackle complex challenges. Join us in co-creating the future as we build technologies that redefine software development.Role OverviewAs a Staff Backend Engineer (Python) on the Duo Chat team within AI Engineering, you will spearhead the backend architecture that powers GitLab Duo Chat across our DevSecOps platform. Your role will involve addressing complex challenges in developing reliable, secure, and scalable AI-driven chat workflows, enabling our customers to plan, write, review, and secure code more efficiently and confidently. This is a hands-on technical leadership position where you will set the strategic direction for integrating and evolving large language model providers, such as Google Vertex AI, across Ruby on Rails and Python services, enhance our observability and testing practices, and guide the team through impactful technical decisions amidst ambiguity. In your first year, you will be expected to make pivotal architectural decisions, alleviate technical debt that hampers progress, and assist the team in delivering sustainable improvements in response quality, reliability, and maintainability.

Canonical is at the forefront of open-source software and operating systems, powering numerous enterprise technology solutions worldwide. Our flagship platform, Ubuntu, is pivotal in transformative areas such as public cloud computing, data science, artificial intelligence, engineering innovation, and IoT. We serve leading public cloud and semiconductor firms, along with industry frontrunners in various sectors. As a pioneer of global distributed teamwork, we have over 1200 team members across 75 countries, with minimal office-based roles. Our teams gather in engaging locations worldwide two to four times a year to align on strategies and execution. We're a founder-led, profitable, and rapidly growing organization. Currently, we are seeking skilled Software Engineers proficient in Python, Packaging, and Linux, who are eager to positively influence the daily operations of numerous snap, rock, and charm publishers. Success in this role requires a keen interest in packaging formats, build systems, and automation that simplify software delivery for developers and engineers, reaching the broadest possible audience. You will design and maintain specialized Python tools that facilitate the developer build and publication process. Our team is responsible for the tooling that builds snaps, charms, and the latest addition, rocks. Snapcraft empowers developers to deliver app updates seamlessly to millions of Linux systems, removing the complexities associated with supported releases and installation instructions. This platform supports thousands of applications from a diverse group of over a thousand developers, including well-known names like Spotify, Slack, and Microsoft. Charmcraft fosters collaboration among charmed operator developers, enabling publication on Charmhub, the home of the Charmed Operator Collection. Charmed Operators allow developers to package software, including databases, event queues, and observability tools, alongside operational code, streamlining the integration and operation of software in their environments.

Canonical, a trailblazer in open-source software and operating systems for the global enterprise and tech landscape, is seeking a passionate Graduate Software Engineer to join our innovative team. Our flagship platform, Ubuntu, powers transformative initiatives in public cloud, data science, AI, engineering innovation, and IoT, serving leading public cloud and silicon providers worldwide.As a fully remote company with over 1,200 dedicated professionals across 75+ countries, we prioritize collaborative global engagement, meeting in unique locations 2 to 4 times a year to align on strategic goals.In this role, you will be instrumental in developing, testing, and enhancing Ubuntu’s presence on public cloud platforms. Your contributions will directly impact the quality and stability of Ubuntu, which is pivotal for our global user base. Collaborating with our Ubuntu teams and major cloud partners, you will ensure the continuous improvement of our cloud images while actively engaging with our users to meet their needs.This position demands a strong foundation in Python software engineering, with a keen focus on interoperability across diverse releases and environments. Proficiency in Python is essential, and contributions to open-source projects will be considered a significant advantage. You will also manage Ubuntu images, so familiarity with apt configuration, deb packaging, and system administration will enhance your effectiveness in this role.We are looking for individuals who are enthusiastic about the Ubuntu project and are committed to developing tools that empower millions globally. A focus on quality, attention to edge cases, user experience, comprehensive documentation, and community engagement is paramount. You will work with a diverse user spectrum, from mission-critical environments to enthusiastic hobbyists, guiding best engineering practices to cater to all.

Join Canonical, a leading provider of open-source software, as a Software Engineer focused on developing innovative Python-based container images. In this role, you will create and maintain a diverse array of container images, collaborating with various teams to ensure the highest quality and an exceptional Ubuntu user experience. You will play a pivotal role in automating Continuous Integration and Continuous Delivery (CI/CD) processes, leveraging your expertise in container-based DevOps. By contributing to cutting-edge products like OCI images, you will help shape the future of container technology. This position offers the opportunity to work remotely across the Americas, APAC, and EMEA while engaging with a global community of tech professionals.

At Speechify, our mission is to ensure that reading is never a barrier to learning. We believe that everyone should have access to knowledge, and our innovative solutions are designed to make reading more inclusive and efficient.With over 50 million users, Speechify’s suite of text-to-speech products transforms various reading materials—such as PDFs, books, Google Docs, news articles, and websites—into audio. This enables users to read faster, absorb more information, and enhance retention. Our offerings include an iOS app, Android app, Mac app, Chrome extension, and web app. Google recognized Speechify as the Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity.Currently, our diverse and talented team of nearly 200 professionals operates in a fully remote environment, harnessing the expertise of individuals from renowned companies like Amazon, Microsoft, and Google, as well as leading academic institutions such as Stanford. We also welcome founders and innovators from high-growth startups like Stripe, Vercel, and Bolt.OverviewWe are seeking a passionate Software Engineer to join our AI team, specifically focusing on data infrastructure and acquisition. In this role, you will be pivotal in managing all aspects of data collection to support our model training operations. By integrating infrastructure, engineering, and research, we build high-quality datasets at a petabyte scale efficiently and cost-effectively.

Zencore, a pioneering firm founded by former leaders from Google Cloud, is on the lookout for a seasoned Principal Architect specializing in AI/ML to join our dynamic team. In this role, you will help clients overcome challenges and expedite the adoption of cutting-edge AI solutions. By embedding yourself within customer teams, you'll provide strategic insights, facilitate technology decisions, and lead projects in a collaborative environment. As a vital member of our Cloud Engineering team, you will leverage AI to drive transformation for innovative companies, becoming a trusted advisor throughout their AI journey. Your expertise will span model optimization, high-performance training on specialized hardware (such as TPUs), efficient model serving (vLLM), MLOps, and complex agentic systems.

Canonical stands at the forefront of open-source software development, delivering innovative operating systems and solutions tailored for global enterprises and technology sectors. Our flagship platform, Ubuntu, is integral to transformative initiatives across public cloud infrastructure, data science, artificial intelligence, engineering advancements, and the Internet of Things (IoT). We proudly serve renowned public cloud providers, silicon manufacturers, and industry pioneers across diverse sectors. As a leader in global distributed collaboration, we boast a dynamic team of over 1,200 professionals across more than 80 countries, with minimal office-based roles. Our teams convene for strategic alignment and collaboration two to four times a year in captivating locations worldwide.Founded, profitable, and on a growth trajectory, we are seeking a Python Software Engineer dedicated to engineering excellence, continuous improvement, and skill development. This role presents an exciting opportunity to engage with popular software systems, cutting-edge integration technologies, and pioneering open-source projects.The Commercial Systems division consists of six engineering teams that collaborate closely with other technical and business units at Canonical. The services engineered and maintained by this division are crucial to our operations, with Python playing a vital role in our initiatives. We invite talented Python Software Engineers to join our dedicated Integrations team.The Integrations team focuses on automating SaaS user management and onboarding new data sources into our data mesh. This team is tasked with designing, developing, and operating Python-based solutions to streamline SaaS seat management and monitor expenditures across our application portfolio. Additionally, the team integrates various internal and external data sources into the data mesh through open-source ETL solutions, empowering data-driven decision-making across the organization.Location: This position is fully remote, available to candidates in the EMEA region.

Join Canonical, a global leader in open source technology, as a Senior Python Engineer. In this dynamic remote role, you will develop high-quality Python applications that power our innovative solutions in cloud computing, data science, and IoT. Collaborate with a diverse team of experts, contribute to impactful projects, and engage with the open-source community to enhance software operations globally. If you are passionate about creating exceptional software and driving technical excellence, we want to hear from you!

Canonical, a forefront provider of open source software and operating systems, is on the lookout for a dedicated Software Engineer specializing in Distributed Systems Testing. In this role, you will be instrumental in ensuring the quality and resilience of applications built on Canonical’s renowned Ubuntu and Juju platforms. Your expertise will drive the success of multi-cloud deployable applications, enhancing our reputation in key areas such as public cloud, data science, AI, and IoT. We prioritize quality engineering, seeking individuals who can employ data-driven strategies to enhance testing, automation, reporting, and analytics. Join our globally distributed team as we test and deploy cutting-edge cloud solutions in diverse environments, from bare metal in customer data centers to major public clouds including AWS, GCE, and Azure. You'll have the opportunity to develop CI pipelines, test innovative products on new clouds, and contribute to the advancement of our AI/ML pipelines for automated test result analysis.

Join us in revolutionizing the deployment of MongoDB across diverse cloud environments! At Canonical, we strive to develop the premier open-source alternative to MongoDB Atlas and Amazon DocumentDB, enabling users to take full control of their data across multi-cloud and on-premise infrastructures.We are on the lookout for a seasoned Python developer with expertise in MongoDB to help us create a robust, fully managed MongoDB solution utilizing Juju. Your contributions will be pivotal in designing the most secure and reliable methods for deploying and managing MongoDB on physical machines, virtual machines, public cloud platforms, and Kubernetes. As part of our small MongoDB team, you will play a crucial role, and your efforts will significantly influence our product and the broader open-source ecosystem.

Role overview Sweedpos is seeking an Analytics Engineer to strengthen its data analytics efforts. This fully remote position centers on creating and maintaining analytics solutions that guide important decisions throughout the company. What you will do Build and maintain analytics tools and workflows to support business insights Collaborate with teams from various departments to understand data needs and provide clear, actionable insights Use data modeling techniques to structure and organize information for analysis Requirements Strong analytical skills and keen attention to detail Hands-on experience with data modeling methods Knowledge of analytics platforms and related technologies Ability to work effectively with colleagues from different functions Location This role is open to candidates internationally and is fully remote.

At Speechify, our mission is to eliminate barriers to learning by transforming reading into an engaging auditory experience. With over 50 million users, our cutting-edge text-to-speech solutions convert a variety of texts—including PDFs, books, Google Docs, articles, and websites—into audio format, enabling users to read faster, absorb more, and enhance their retention. Our innovative products, which include an iOS app, Android app, Mac app, Chrome extension, and web application, have been recognized with prestigious awards, including Google's Chrome Extension of the Year and Apple's 2025 Design Award for Inclusivity.As part of our global team of nearly 200 professionals, working entirely remotely, you will collaborate with talented engineers, AI researchers, and industry veterans from companies like Amazon, Microsoft, and Google, as well as from leading academic institutions such as Stanford. We pride ourselves on fostering a dynamic work environment where innovation thrives.Role OverviewWe are on the lookout for a passionate Software Engineer to join our Data team within the AI division at Speechify. In this pivotal role, you will manage the full spectrum of data collection efforts to support our model training operations. Your expertise will enable us to build high-quality datasets on a petabyte scale efficiently and cost-effectively through seamless integration of infrastructure, engineering, and research.