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Location: Home based - Worldwide 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 a Software Maintenance Engineer to… …work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run. This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical. This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself. You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu. Location: This is a remote role, we have teams in all time zones. The role entails Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software Maintain a close working relationship with Canonical's Field, Support and product engineering teams Participate in upstream communities Develop bug fixes, backport patches, and work with upstream for inclusion Review code produced by other engineers Demonstrate good judgment in technical methods and techniques Prioritize work and manage your time effectively against those priorities Participate in team discussions to improve processes, tools, and documentation Maintain clear, technical and concise communications Work from home and travel internationally up to 10% of work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive to learn unfamiliar technology and deep-dive difficult issues Willingness to travel up to 4 times a year for internal events Nice-to-have skills You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems 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. 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 & Wellness Platform 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 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. #LI-Remote

Location: Home based - Worldwide 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 a Software Engineer - L3 Support to… …work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run. This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical. This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself. You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu. Location: This is a remote role, we have teams in all time zones. The role entails Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software Maintain a close working relationship with Canonical's Field, Support and product engineering teams Participate in upstream communities Develop bug fixes, backport patches, and work with upstream for inclusion Review code produced by other engineers Demonstrate good judgment in technical methods and techniques Prioritize work and manage your time effectively against those priorities Participate in team discussions to improve processes, tools, and documentation Maintain clear, technical and concise communications Work from home and travel internationally up to 10% of work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive to learn unfamiliar technology and deep-dive difficult issues Willingness to travel up to 4 times a year for internal events Nice-to-have skills You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems 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. 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 & Wellness Platform 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 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. #LI-Remote

Location: Cyprus; Poland; Barcelona; Belgrade Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Home based - EMEA 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. As a pioneer global remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to hire high performing talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires connecting performance outcomes to hiring. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent. Our team works closely with the business to oversee the hiring process and encourage best practice whilst offering an expert viewpoint on talent assessments. We are not recruiters;  it's about the science of talent and performance, raising awareness and offering deep analytical insights across the business to enable them to select the best talent available from our global talent pool. We have a brand new opportunity for a Talent Scientist in the team who will lead on teaching our senior executives how to source senior talent. Your key skills will be: Experience of identifying and approaching senior leadership talent from either a professional search firm or from an in-house search function, working within the Technology industry. Excellent knowledge tools used to identify future talent including market mapping. Strong analytical problem solving ability to identify trends and patterns from data, with SQL or Python. Location: EMEA - Home based The role entails Developing a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline. Coaching our senior leadership teams to drive hiring outcomes, enabling them to become expert at approaching and attracting exceptional talent for their management and leadership positions. Driving talent analytics to provide our business with real-time insight, using SQL or Python to identify trends in data. Conducting in-depth behavioural talent interviews providing considerable insights into motivations and behaviours. Building key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes Seeking continuous improvement on hiring processes and outcomes. Bringing a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this. What we are looking for in you Professional experience of headhunting from a reputable executive search firm or in-house search function, with an informed opinion of strategies and experience of successfully sourcing senior talent in the Technology industry. Exposure or appreciation of psychometric assessments. Strong analytical problem solving ability to identify trends and patterns from data using SQL or Python, with proficiency in LinkedIn talent modules.. Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview. An exceptional academic background including a Bachelors or Masters degree in a Psychology or people based subject and a good level of Maths from High School. A high level of personal organisation to work remotely and be effective. Willingness to travel to company events 2-4 times a year, for up to two weeks each. Other skills you may bring Experience of more advanced analytical and statistical analysis to interrogate data. Exposure to the following tools: Greenhouse ATS, Thomas International and DISC profiling. Psychometric validity and reliability metrics. 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. 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 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. #LI-remote

Location: Russia Job description: We are seeking a highly skilled Senior Network Engineer with 5+ years of experience in designing, implementing, and maintaining complex network infrastructures. The ideal candidate will have deep expertise in traditional networking as well as cloud networking, with a strong focus on Amazon Web Services (AWS) . You will play a critical role in optimizing and securing our hybrid cloud infrastructure while ensuring high availability, scalability, and performance. About the company CXM Group, a global leader in the FX and CFD industry since 2015, is redefining the trading experience. Our mission is to empower traders with advanced tools, exceptional resources, and unparalleled market conditions across several asset classes including forex, indices, shares, metals, commodities and cryptocurrencies. Key Responsibilities: Design, implement, and manage enterprise-level network solutions across on-prem and cloud environments. Architect and maintain secure and scalable network infrastructure on AWS (e.g., VPCs, Transit Gateway, Direct Connect, VPN, Route 53, NACLs, Security Groups). Monitor network performance and troubleshoot network issues and outages. Automate network tasks using scripting and infrastructure-as-code (e.g., CloudFormation, Terraform ). Collaborate with DevOps, Security, and Cloud Engineering teams to ensure best practices and compliance. Lead network-related projects and mentor junior engineers. Document network configurations, processes, and updates in detail. Manage network-related tools (firewalls, load balancers, monitoring systems, etc.). Stay current on new technologies and recommend improvements to support business goals. Requirements 5+ years of hands-on experience in network engineering roles. Strong understanding of core networking concepts: routing, switching, firewalls, DNS, DHCP, TCP/IP, etc. Deep knowledge of AWS networking services : VPC, Subnets, NAT Gateway, Route Tables, Security Groups, Direct Connect, Transit Gateway, etc. Experience with cloud-native security and connectivity patterns . Familiarity with network monitoring tools (e.g., CloudWatch, SolarWinds, Nagios). Experience with automation and scripting (Python, Bash, or similar). Hands-on experience with infrastructure as code tools like Terraform or AWS CloudFormation. Knowledge of load balancing technologies (e.g., ELB/ALB/NLB). Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Preferred Qualifications: Experience with hybrid cloud or multi-cloud networking environments. AWS Certified Advanced Networking – Specialty or other relevant AWS certifications. Familiarity with containerized environments (e.g., Kubernetes, ECS) and their networking components. Knowledge of SD-WAN technologies and principles. Experience in regulated industries (finance, healthcare, etc.) is a plus. Benefits Work on cutting-edge networking projects in cloud-native environments. Collaborate with a talented and passionate team. Competitive compensation and benefits. Flexible work environment.

Location: Athens; Limassol; Thessaloniki; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a skilled MLOps Engineer to join our team and play a key role in bridging the gap between our Data Science and Infrastructure teams. You will be responsible for supporting the Data Science team in MLOps-related tasks while also helping in DevOps initiatives, including CI/CD pipeline creation, provisioning of cloud resources using tools like Terraform, and Kubernetes orchestration. You will collaborate closely with data scientists and engineers to deploy data pipelines, train machine learning models, and manage their deployment within scalable cloud environments while ensuring high performance, security, and reliability throughout the ML lifecycle. The main responsibilities of the position include: Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS using services such as SageMaker , EC2 , EKS , S3 , Lambda and other relevant AWS tools Coordinate with our platform team to troubleshoot Kubernetes clusters (EKS) to orchestrate the deployment of machine learning models and other microservices Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring Collaborate closely with Data Science, and DevOps team to streamline the model development lifecycle, from experimentation to production deployment Implement security best practices, including network security, data encryption, and role-based access controls within the AWS infrastructure Monitor, troubleshoot, and optimize data and ML pipelines to ensure high availability and performance Set up and manage model monitoring systems for performance drift, ensuring continuous model improvement Main requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of hands-on experience in MLOps, DevOps, or related fields Knowledge and preferable working experience in AWS services for machine learning, such as SageMaker , EKS , S3 , EC2 , Lambda , and others Exposure to Kubernetes for container orchestration Experience with Docker Exposure to infrastructure-as-code tools such as Terraform or CloudFormation Familiarity with CI/CD tools such as GitLab CI Understanding machine learning model lifecycle Familiarity with monitoring and logging solutions like Prometheus , Grafana , CloudWatch and ELK Stack Understanding of networking concepts and cloud security best practices Proficiency in Python and Bash , and comfortable working in Linux environments Strong problem-solving and communication skills The following will be considered an advantage: Experience working with serverless architectures and event-driven processing on AWS Familiarity with advanced Kubernetes concepts such as Helm Experience with Data Engineering pipelines, ETL processes, or big data platforms Experience with ML frameworks like TensorFlow, PyTorch and Keras Experience with ML platforms like Kubeflow and/or SageMaker Experience with workflow engines like Argo Workflows and/or Airflow Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an experienced and motivated Senior Software Developer to join our dynamic team. In this role, We are looking for a Senior Software Developer with a strong command of modern web technologies to lead the development of scalable, performant, and secure web applications. Our stack includes Angular (v11–20), Firebase, TypeScript, and modern frontend tooling supported by CDNs, Google Analytics, and secure hosting practices. Responsibilities: Lead the development of high-quality software applications, ensuring adherence to best practices and coding standards. Design and implement scalable software architecture that supports business objectives. Mentor and guide junior developers, sharing knowledge and improving team capabilities. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and debug applications to ensure optimal performance and reliability. Conduct code reviews and provide constructive feedback to enhance code quality. Stay up-to-date with emerging technologies and industry trends, and apply them to improve existing systems and processes. Frontend Engineering: Create responsive, user-focused interfaces utilizing Angular, TypeScript, Bootstrap, Font Awesome, and the Google Font API. Develop sophisticated UI components with jQuery, jQuery UI, DataTables, and Select2. Backend & Cloud Integration: Oversee the integration of Firebase services, including Firestore, Authentication, Functions, and Hosting. Guarantee efficient content delivery and minimal latency for users across the globe. Security & Best Practices: Implement advanced security measures such as HSTS, authentication workflows, and secure credential handling. Ensure that applications adhere to the secure development lifecycle standards (SDLC). Promote the use of contemporary web protocols like HTTP/3. Analytics & Monitoring: Establish and oversee tracking systems using Google Analytics 4 (GA4), Google Tag Manager, and DoubleClick Floodlight. Leverage gathered data to guide product strategies and enhance performance. Continuous Improvement: Keep informed of industry developments and actively suggest enhancements to tools, frameworks, and processes. Engage in sprint planning, retrospectives, and contribute to fostering a culture of technical excellence. Requirements Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Software Developer with at least 5 years of hands-on development experience. Proficiency in multiple programming languages (e.g., Java, C#, Python, etc.) and frameworks. Experience with front-end technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, Vue.js) is a plus. Strong understanding of software development methodologies (Agile, Scrum) and version control systems (Git). Excellent problem-solving and analytical skills. Ability to work independently and in a team environment. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with front-end frameworks (Angular). Knowledge of server-side development (Firebase, SQL). Experience with DevOps practices and tools (GitHub). Familiarity with Agile development methodologies. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Toronto; San Francisco; London; New York; Paris; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU. Key Responsibilities: - Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance. - Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency. - Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing. - Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models. Qualifications: - Strong software engineering skills, with proficiency in Python and experience building data pipelines. - Familiarity with curriculum learning, data mixing and data attribution. - Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. - Experience working with large-scale datasets, including web data, code data, and multilingual corpora. - Knowledge of data quality assessment techniques and experimentation with data mixtures. - A passion for bridging research and engineering to solve complex data-related challenges in AI model training. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Home Based - APAC 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 a Mandarin Speaking Embedded Linux Field Engineer for Devices/IoT to expand our reach in mission-critical industries such as Automotive, Medical Devices, Industrial Systems, Robotics, and Telco, as well as Consumer Electronics. We are looking for candidates who are accomplished Linux plumbers. If you are someone passionate about Linux, who knows the plumbing of the OS inside and out, who is proficient with distribution packaging, software design, system debugging, and bringing customer's ideas to life, then please keep on reading - this may be a uniquely exciting opportunity for you. The server edition of Ubuntu is already very widely used in connected devices and industrial PC's. Our edition of Ubuntu for IoT, called Ubuntu Core, represents the state of the art in security and resilience for high end appliances and equipment. Our customers include global brands in consumer and industrial electronics as well as automotive and robotics. We continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. We recently added a real-time Linux capability and are working towards a range of certifications for these offerings. Together, this portfolio is Linux reinvented for optimal reliability, security, developer productivity and footprint. This career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins. We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true. Location: This role will be based remotely in the APAC region, except in locations where we have an office, such as Taipei and Beijing What your day will look like Engage customers during presales to gather requirements and explain our technology Elaborate solutions to be proposed to prospective clients Participate to the delivery of select projects related to Embedded Linux Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential Be both a customer advocate and a trusted advisor to Canonical What we are looking for in you The candidate needs to be fluent in Mandarin and willing to travel to China regularly Bachelors degree in Computer Science or related technical field Extensive Linux experience - Debian or Ubuntu preferred Distribution / Packaging experience (deb, rpm, ...) Solid embedded Linux experience (Yocto, Buildroot...) Fluency in at least one of Golang, Python, C, C++, or Rust Professional written and spoken English in addition to the local language Excellent communication and presentation skills Result-oriented, ability to multi-task A personal drive to meet commitments An humble learner and quick study Albeit many projects can be done remotely, the successful candidate will be willing to  travel up to 30% of the time for customer meetings, company events, and conferences Additional skills that you might also bring Experience with customer engagements is a plus 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. #LI-remote

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a skilled Data Scientist for a 6-month contract position. In this role, you will utilize your expertise in machine learning, statistical analysis, and data modeling to extract meaningful insights from complex data sets. You will work collaboratively with cross-functional teams to develop predictive models and data-driven solutions that address business challenges and enhance organizational performance. Responsibilities: Analyze large and complex data sets to identify trends, patterns, and relationships. Develop and implement machine learning models to solve specific business problems. Collaborate with stakeholders to define data requirements and translate business needs into data science problems. Prepare data for analysis, including data cleaning, preprocessing, and transformation. Communicate findings and insights to stakeholders through reports, dashboards, and presentations. Stay current with advancements in data science, machine learning techniques, and industry best practices. Monitor and maintain existing predictive models, updating them as necessary. Participate in data governance and data quality initiatives to ensure data integrity. Requirements Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist or in a similar analytical role. Strong proficiency in programming languages such as Python or R, along with experience in data manipulation libraries (e.g., pandas, NumPy). Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras). Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively. Solid understanding of statistical analysis, modeling techniques, and validation methods. Excellent problem-solving skills and ability to work with large datasets. Strong communication skills to convey complex concepts to non-technical audiences. Ability to work independently and in a team-oriented environment. Experience with SQL and database management is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! Key Responsibilities: - Design and write high-performant and scalable software for training models. - Consistently post-train the models to reach SOTA level performance. - Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. - Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale. - Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Moldova Project Description We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure. Technologies SQL (PostgreSQL, MySQL or similar) Python (or another scripting language) Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus What You'll Do Assist in the design, development, and maintenance of scalable data pipelines; Support data integration from various sources (databases, APIs, flat files); Help ensure data quality, consistency, and reliability; Collaborate with data analysts and data scientists to understand data requirements; Participate in code reviews and contribute to technical documentation; Monitor and troubleshoot data workflows, resolving issues as they arise; Job Requirements 1+ years of practical experience or relevant internship in a data-focused role (preferred); Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience); Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server); Familiarity with at least one programming language (preferably Python); Understanding of ETL concepts and data warehousing fundamentals; Eagerness to learn new technologies and best practices in data engineering; Strong problem-solving skills and attention to detail; Effective communication and teamwork abilities; English level: Intermediate+ or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Spain About the Company Our client is a fast-growing SaaS company transforming how top consulting firms and researchers gather insights. Their robust yet user-friendly survey platform helps clients create high-quality surveys quickly, collaborate more efficiently, and deliver meaningful results—all without the headaches of outdated tools and workflows. With a product trusted by leading consultancies across the globe, they are expanding their team to continue building high-impact features and elevating their code quality. Requirements The Role Our client is looking for a Senior Full-Stack Engineer to join a lean but highly experienced engineering team. The ideal candidate is a generalist with deep TypeScript expertise who thrives in a high-autonomy, low-meeting environment. You'll work on both new product development and enhancements to a solid existing codebase, with a strong emphasis on engineering best practices and clean code. What You’ll Do Design and implement new product features across the stack (frontend + backend). Collaborate closely with other senior engineers, product managers, and leadership. Participate in a rigorous code review process that prioritizes quality and maintainability. Own initiatives from idea to production in a remote-first, async-friendly setup. What They're Looking For 7–10+ years of software development experience. Strong proficiency in TypeScript (absolute must). Solid experience with full-stack development using: Frontend : React, Redux, TypeScript, CSS Backend : Node.js, Express, Python (Django) Database : PostgreSQL Tooling/DevOps : Docker, AWS, CloudWatch, GitLab Testing : Jest, Enzyme, Unitest Prior experience working remotely in high-performing teams. Comfort working with a high code-quality bar (longer review cycles, clean architecture). Self-starter who thrives with autonomy and minimal supervision. Nice to Have Experience working at early-stage or fast-growing SaaS startups. Previous exposure to complex B2B platforms.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. Work with product engineers to define and deliver impactful AI features across Figma’s platform. Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma. We’d love to hear from you If you have: 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI. Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring. Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost. Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality. Experience mentoring or leading others and contributing to a culture of technical excellence and innovation. While not required, It’s an added plus if you also have: Familiarity with search relevance, ranking, NLP, or RAG systems. Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows. Experience working on creative or design-focused ML applications. Knowledge of additional languages such as C++ or Go is a plus, but not required. A product mindset with the ability to tie technical work to user outcomes and business impact. Strong collaboration and communication skills, especially when working across functions (engineering, product, research). At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Data Platform team at Figma builds and operates the foundational systems that power analytics, AI/ML, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and large-scale data ingestion and processing systems, managing all data flowing into and out of these platforms. Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion and reverse ETL capabilities for new product use cases, and strengthening data quality, reliability, and compliance at every layer. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you! This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage Mentor and support engineers, fostering a culture of learning and technical excellence We’d love to hear from you if you have: 5+ years of backend or infrastructure engineering experience, including designing and building distributed data infrastructure at scale Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders Experience mentoring engineers and fostering a culture of learning and technical excellence While it’s not required, it’s an added plus if you also have: Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance Experience with reverse ETL, personalization platforms, or real-time event ingestion systems Experience with data governance, access control, and cost optimization strategies for large-scale data platforms The ability to navigate ambiguity, take ownership, and drive projects from inception to execution Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, infrastructure is at the heart of everything we build. As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization Debug and resolve complex production issues that span services and layers of the stack Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence We’d love to hear from you if you have: 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby Strong system design skills and a track record of architecting resilient production systems Excellent communication skills, with experience collaborating across teams and mentoring others While it’s not required, it’s an added plus if you also have: Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio) A history of developing complex, realtime distributed systems at scale A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity Strong problem-solving skills and a bias for action—especially when tackling high-impact, gritty challenges Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for experienced full-stack engineers to join teams across Figma’s Growth and Monetization Engineering organization! This group spans several teams—including Growth, Billing, Enterprise, and Discovery—each focused on solving complex challenges that help millions of users, from startups to Fortune 500 companies, get the most out of Figma. Depending on the team, you might design billing infrastructure at global scale, build secure enterprise access systems, improve how users discover and organize their work, or drive product-led growth and monetization initiatives. As part of these teams, you’ll design and scale reliable, secure, and intuitive systems that power collaboration across Figma’s product suite. Playing a key role in driving our rapid growth, global expansion, and evolving product surface area—while working closely with cross-functional partners to ensure our technology meets the needs of our most sophisticated customers. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, C++, and more. Own key parts of the product that impact user experience, internal productivity, or revenue operations. Collaborate with cross-functional partners in product, design, data science, support, and sales to shape product direction and solve complex problems. Operate and monitor the systems you build, with a strong focus on reliability, security, performance, and user experience. Contribute to team culture by mentoring peers, providing feedback, and helping foster a collaborative and inclusive engineering environment. We’d Love to Hear From You If You Have: 4+ years of professional software engineering experience, with a track record of shipping and maintaining complex systems or products in production. Full-stack experience with modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Python, Go, PostgreSQL). Strong collaboration and communication skills, with experience working effectively across functions. While it’s not required, it’s an added plus if you also have: Experience with B2B SaaS, billing/payments infrastructure, developer platforms, or enterprise-scale systems. Familiarity with technologies such as Stripe, Salesforce, NetSuite, Snowflake, SCIM, SAML, or WebAssembly. A background in experimentation, observability, compliance automation, or internal tools development. Prior work on extensibility platforms (plugins, APIs, widgets), or experience contributing to open source developer communities. Passion for crafting excellent developer or user experiences, and an eye for elegant, maintainable architecture. Enthusiasm for learning and teaching—whether mentoring teammates, leading initiatives, or sharing knowledge in code reviews or pairing sessions. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Software Engineer, you'll work on some of the most technically challenging and impactful parts of our product. You will be developing high-performance client-side systems in C++/WebAssembly, extending the multiplayer protocols that make collaborative design possible, and building out the communications layer between C++ and Javascript. Your contributions will help push the boundaries of what's possible in the browser. You'll also help shape our user experience by building features that are fast, accessible, and intuitive—even in the face of complex data models and intermittent connectivity. This is a highly collaborative role: you'll partner closely with designers, product managers, and other engineers to plan, build, and iterate on features that serve millions of users around the world. Whether you're optimizing our core engine, building authoring tools, or crafting new platform abstractions, your work will be key to advancing the future of design. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Build core features and frontend infrastructure in a real-time, multiplayer system with a complex in-memory data model (SceneGraph) Optimize performance and memory usage to deliver a fast, reliable UX in the browser using C++/WebAssembly and TypeScript Extend our core C++ engine and multiplayer protocols to support scalable design systems, branching/merging flows, and advanced collaboration modes Design and build APIs and tooling to allow product teams to build against our platform with ease and confidence Contribute to accessibility strategy and implementation, ensuring our tools are usable by all Collaborate regularly with cross-functional partners across product, design, and engineering to plan and execute high-impact projects Write clear, maintainable code and documentation, and contribute to architectural decisions Mentor and support other engineers through pairing, code review, and feedback Help drive recruitment and shape our inclusive, high-performance engineering culture We’d love to hear from you if you have: 4+ years of professional Software Engineering experience shipping user-facing features or products Strong programming skills in one or more languages relevant to our frontend such as TypeScript, C++, React, Go, Rust, or Python Experience working with web-based applications, browser performance, or real-time collaborative systems A track record of working collaboratively across teams and disciplines to deliver complex technical projects While it’s not required, it’s an added plus if you also have: 2+ years of experience in a technical lead role, especially across multiple teams Experience with game engines, rendering systems, or other performance-critical applications Background in developer platforms or API design Familiarity with WebAssembly, browser internals, or C++ in a frontend context Passion for crafting collaborative tools and creative workflows A strong product mindset and attention to user experience A commitment to continuous learning, inclusion, and helping others grow At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.