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Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform. Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon. Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components. Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation. Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams. Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale. Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills Expert level in Python and Java with strong software engineering fundamentals. Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents. Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes). Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making Demonstrable history of leading and sustaining build out of critical cross-team systems Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $179,000-$224 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform. Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon. Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components. Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation. Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams. Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale. Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills Expert level in Python and Java with strong software engineering fundamentals. Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents. Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes). Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making Demonstrable history of leading and sustaining build out of critical cross-team systems Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $158,000-$198, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Cape Town, South Africa We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making. This is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization. Primary Responsibilities: Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric Develop and optimize SQL data models to support financial reporting and analysis Build and maintain Power BI dashboards and reporting solutions for business stakeholders Ensure data accuracy and integrity through validation, reconciliation, and issue investigation Own end-to-end data workflows, from ingestion through transformation and reporting Collaborate with finance and operations teams to translate business needs into scalable data solutions Identify opportunities to improve data processes, automation, and system performance Work closely with IT teams to ensure security, governance, and compliance of financial data. Optimize SQL queries and improve report performance. Focuses on transforming raw data into reliable reporting models. Requirements Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field. 3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information DP-700 Certification (Preferred) Technical Requirements Experience with Microsoft Azure. Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory). Experience with Power Query, DAX, and SQL with large, complex datasets. Familiarity with Git and/or Azure DevOps for version control. Knowledge of Python for data processing and automation (preferred). Experience integrating data through APIs or external data sources. Understanding of data warehousing concepts and dimensional modeling. Ability to work in mixed time zones with various teams including Pacific Standard (USA) Experience building reports and data models in Power BI Strong understanding of ETL/ELT pipelines and data validation processes Experience working with financial or operational data is a strong plus Soft skills requirements: Strong analytical and problem-solving skills. Ability to communicate technical concepts to non-technical stakeholders. Excellent stakeholder management and collaboration skills. Strong organizational and time management skills. Continuous improvement mindset with a proactive approach to automation and process optimization.

Location: Dammam, Saudi Arabia We are looking for a motivated Cloud Engineer to support the design, implementation, management, and operation of secure public cloud environments. The ideal candidate will have foundational knowledge of cloud networking, cloud security, identity management, and cybersecurity, with a strong interest in developing expertise in cloud architecture and infrastructure. Key Responsibilities Assist in designing, implementing, and managing public cloud environments and landing zones . Support cloud network architecture, including VPC/VNet, subnets, routing, firewalls, VPNs, and network connectivity . Assist with secure connectivity between cloud platforms and on-premises environments. Support the implementation and management of cloud security controls and best practices. Assist with Identity and Access Management (IAM) , user roles, permissions, and access policies. Monitor cloud infrastructure, network performance, security, and availability. Troubleshoot basic cloud networking, connectivity, and security issues. Support cloud governance, security standards, and compliance requirements. Work closely with infrastructure, cybersecurity, DevOps, and application teams. equirements Bachelor’s degree in Computer Science or Computer Engineering. 0–2 years of experience in cloud computing, networking, infrastructure, or a related field. Basic understanding of at least one major public cloud platform: Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) Basic knowledge of: Cloud networking and architecture VPC/VNet and subnet design Routing and network security Firewalls and VPNs IAM and access management DNS and load balancing Cloud security and cybersecurity fundamentals Hybrid cloud connectivity Good analytical and troubleshooting skills. Strong communication and teamwork abilities. Eagerness to learn and build a career in cloud engineering and architecture.

Location: New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our London office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £210,000 — £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our San Francisco office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Software Engineer, Network Automation - WAN & Edge, you will design, automate, and operate resilient connectivity between data centers, cloud environments, external networks, and the internet. Your work will span routing, firewalls, traffic engineering, and production troubleshooting. This is a hands-on role for an experienced network engineer who can build, test, debug, and review production-grade automation. Networking depth and strong software-engineering judgment matter more than familiarity with any particular language, platform, or tool.   WHAT YOU WILL DO - Design and evolve resilient inter-site, cloud, and internet connectivity for large-scale AI infrastructure. - Own external BGP policy and traffic engineering at the edge, including route filtering, failover, and capacity planning. - Build API-driven automation for edge routing, firewalls, VPNs, carrier connectivity, and network segmentation. - Coordinate with carriers, cloud connectivity providers, colocation partners, and vendors on design, provisioning, incident escalation, and service improvement. - Design safe change workflows with automated validation and resilience testing, staged rollouts, observability, rollback, and recovery. - Participate in on-call rotation, troubleshoot active WAN and edge incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.   WHAT WE’RE LOOKING FOR - Deep, hands-on WAN and edge networking experience across internet connectivity, data-center interconnect, private WAN, or cloud networking. - A track record of taking external BGP designs from whiteboard to production and debugging them during production incidents. - Experience integrating and troubleshooting stateful firewalls, NAT, asymmetric routing, and redundant edge designs on at least one major routing or firewall platform. - Experience building or operating production network automation using network-management APIs and data models. You understand desired state and idempotency; relevant technologies might include REST, NETCONF, gNMI/OpenConfig, Ansible, or Terraform. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Operational troubleshooting experience using routing and flow state, packet captures, link health, telemetry, and logs to diagnose production incidents. - Clear, pragmatic communication and effective stakeholder management. You can translate technical needs into connectivity designs and provider requirements, define acceptance criteria and service-level expectations, and provide technical leadership.   NICE TO HAVE - Experience with FortiGate, FortiManager, or comparable edge and firewall platforms. - Deeper specialization in external connectivity, such as public-cloud or hybrid-cloud interconnect, or internet transit and peering. - Exposure to edge security and scale techniques such as RPKI and route-origin validation, DDoS mitigation, or global traffic engineering. - Familiarity with streaming telemetry, network source-of-truth systems, and configuration-compliance tooling. - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, or other declarative, reconciliation-based systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Docker Sandboxes team is building the runtime that lets AI coding agents run safely on a developer's machine: disposable, isolated microVM sandboxes that each get their own Docker daemon, filesystem, and network. This is the core of Docker's sbx product: developers can give an agent the autonomy it needs to get real work done without it ever touching the host, and tear the whole environment down when it's finished. The successful candidate is a technical, product-minded engineer with deep experience building secure, isolated runtime environments (sandboxes, containers, or VMs) and a track record of shipping and owning that kind of infrastructure in production at scale. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. They can drive clarity and consensus on hard, ambiguous problems that cross team and component boundaries, raise the bar for engineering quality wherever they work, thrive in a remote-first environment, communicate clearly across time zones, work with our users, while bringing curiosity and craftsmanship to hard problems. Please note: this role is currently prioritizing candidates currently located in the Eastern time zone (US or Canada), or in the EU. _______________________________________________________________________ RESPONSIBILITIES - Design, develop, and lead improvements to the sandboxes product across agent integration, tool permissions, and developer-facing workflows. - Investigate and resolve correctness, performance, and stability issues in the agent integration layer across macOS, Windows, and Linux. - Drive the reliability and performance of sandbox creation, session management, and teardown for AI agent workloads. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. _______________________________________________________________________ QUALIFICATIONS - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build an understanding of our codebase. - Meet the people on your team and those adjacent to it. - Build an understanding of the products we are shipping and our near-term technical priorities. - Deliver small fixes or improvements. FIRST 90 DAYS - Lead the design and development of a significant improvement or feature of the local sandboxes stack. - Engage with our open source project and the relevant upstream communities. - Shape the team's technical direction, and drive architecture discussions. ONE YEAR OUTLOOK (FIRST YEAR) - Deliver measurable improvements to the correctness and performance of sandboxes. - Become a recognized technical owner of key parts of the codebase and a go-to technical leader for the local runtime. - Help us define the longer-term technical strategy for the filesystem layer in a way that fits with Product and Business goals, and rally the team behind it. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Ho Chi Minh; Hanoi Workplace: hybrid Ajax Systems is expending and is looking for a Hardware Engineer to strengthen our team in Vietnam.   Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. As a Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in Taiwan. We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing. Key Responsibilities Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability. Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts. Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated. Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield. Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation. Requirements Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior. EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred). Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT). Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices. Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control. Communication: Fluent English is required for technical documentation and international collaboration. Preferred Qualifications Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production. High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements. System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design. Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems. Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo. This position is hybrid and requires 3 days/week in our Paris office. ROLE We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as: - Build and operate robust data pipelines that keep pace with ever-evolving business needs, ensuring the architecture supports them cleanly. - Contribute to the codebase, ship and maintain your changes in production, and champion strong coding and data engineering practices. - Use AI coding tools (Claude Code, Codex, and whatever comes next) as a core part of your daily workflow — to move faster on pipelines, migrations, tests and documentation — while staying fully accountable for what you merge. - Look for opportunities to put AI inside our data platform, not just around it: LLM-assisted data quality checks, semantic layers, natural-language access to datasets, agent-driven internal tooling. - Take ownership of projects from initial discussions to release: feature estimation and scoping, architecture design, benchmarking of new technologies, product feedback. - Work in a very agile environment with a fast decision process. - Collaborate directly with back-end engineers, data scientists, mobile game and consumer app teams, product and marketing. PROFILE - Extensive experience as a Data Engineer or in a similar role. - A proven track record of building and optimizing data pipelines for massive volumes of data (at scale). - Strong experience with scalability, reliability, and security topics. - Hands-on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly. - Genuine curiosity about modern tooling and practices: you follow how the data and AI ecosystem is evolving, try new tools on real problems, and form your own opinion instead of following hype. You can explain why you adopted something — or why you dropped it. - Strong analytical skills and comfort working with unstructured datasets. - Experience with Amazon Web Services. - Result-oriented and focused on the value your work creates. - Curious about business needs and keen to build innovative, pragmatic solutions that grow the business through data. - Excellent communication skills (you can speak and write English). - Experience with LLM-based systems (RAG, evals, prompt and context engineering) is a strong plus. - Experience in gaming, advertising, or another fast-growing company is a plus. - Familiarity with Voodoo's ecosystem: gaming, apps, advertising, analytics. OUR STACK - Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools) BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. T ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing. You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development. What You'll Do Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets) Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams Ensure engineering processes (e.g. FDLC) are implemented and consistently followed Delegate effectively and build autonomy and a positive, high-trust culture within the team Address performance issues and conflict promptly and fairly Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team Bonus Skills Experience building or operating metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $186,701 — $233,376 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Poland Company Background Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem. Project Description The project focuses on developing and maintaining an enterprise integration layer that connects the client’s operational platforms, cloud services, and corporate applications across a complex business environment. The specialist will help enable secure, reliable, and scalable communication between in-house and SaaS systems, supporting the automation and consistent flow of business data across the organization. Technologies MuleSoft / Azure Integration Services / UiPath / Workato REST, SOAP APIs Python, PowerShell, Bash ETL Event-driven architectures Azure Service Bus / AWS SQS / Kafka What You'll Do Build, test, deploy, and support integrations across enterprise systems, including ERP, HRIS, FinOps, ITSM, and in-house operational platforms; Design and implement scalable and secure data flows using MuleSoft, REST/SOAP APIs, event-driven patterns, ETL pipelines, and middleware platforms; Establish integration standards, reusable patterns, and governance practices to reduce point-to-point integrations and technical debt; Collaborate with HR, Finance, IT, cloud, and infrastructure teams to translate business requirements into technical integration solutions; Develop automation scripts and pipelines using Python, PowerShell, and Bash to streamline data transfers, system events, and operational workflows; Build and maintain CI/CD pipelines for reliable, testable, and auditable integration deployments; Implement monitoring, alerting, and observability for integration pipelines, troubleshoot data flow issues, and maintain technical documentation; Connect master data management and FinOps data flows with enterprise applications while supporting data accuracy, latency, and governance requirements; Support routine administration of enterprise systems, including user access updates and maintenance of system records; Contribute to preparing enterprise data for future AI/ML use cases; Job Requirements 7+ years of experience in enterprise integration engineering, systems architecture, or a related technical role, with progressively increasing scope; Solid experience with iPaaS or middleware platforms, such as MuleSoft, Azure Integration Services, UiPath, or Workato; MuleSoft experience is preferred; Hands-on experience designing and implementing REST and SOAP API integrations across heterogeneous enterprise systems; Experience integrating ERP, HRIS, ITSM, and/or FinOps platforms in a multi-cloud environment; Proficiency in scripting and automation using Python, PowerShell, and/or Bash; Working knowledge of ETL patterns, event-driven architectures, and message queue systems; Strong understanding of data security, access control, and zero-trust integration principles; Ability to translate ambiguous business requirements into concrete and well-documented technical designs; Experience collaborating across engineering, infrastructure, and business stakeholder groups; Nice To Have Experience working in data center, critical facilities, or industrial/OT environments, or the ability to rapidly learn domain-specific operational systems; Hands-on experience with FinOps tooling, such as Apptio or Azure Cost Management, and cost data pipelines; Experience administering enterprise back-office business systems, such as NetSuite, Coupa, Rippling, BlackLine, or Ironclad; Experience integrating Rippling, ADP, or comparable HRIS platforms with downstream financial and operational systems; Familiarity with ServiceNow or comparable ITSM platforms and their integration capabilities; Experience using AI-powered agentic coding tools and IaC technologies, such as Terraform or Bicep; Exposure to AI/ML pipeline architectures and data preparation workflows for intelligent operations; Experience with Agile and DevOps practices at scale; 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; 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: Belgrade; London Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems. Responsibilities - Push search quality forward through models, data, evaluation, infrastructure, or any other leverage available. - Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely. - Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate. - Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring. - Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity. - Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome. Qualifications - Deep understanding of search or recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine learning and software engineering skills across data, models, serving, and monitoring. - Ability to drive ambiguous, cross-team problems without continuous task decomposition. - Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Role: Power Electronics Engineer - Department: HAPS - Location: Valencia, Spain - Reports to: HAPS Avionics Team Lead - Working type: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) THE MISSION OF THE POWER ELECTRONICS ENGINEER As Power Electronics Engineer on the HAPS program, you will contribute to the design of the power subsystem of ICEYE's stratospheric electric aircraft. The role is hardware focused, spanning circuit design, lab bring-up, and test. The engineer will own defined subsystems end to end, from requirements definition through schematic design, hardware bring-up, verification testing, and documentation for readiness review. WHO ARE WE? ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. DAY TO DAY RESPONSIBILITIES: - Battery testing and characterization: cell and pack level testing, including capacity, impedance, and cycling measurements, and support for safety qualification testing (e.g. short circuit and thermal runaway testing) - Solar array integration: defining and validating the electrical interface between the solar array and the power bus, including protection circuitry and bring-up testing - Power electronics design: designing and validating protection and power conversion circuits, including the bus tie unit (an electronically controlled high current protection device with current sensing and MCU level telemetry and control) and DC-DC converters - System verification: board level bring-up and system integration testing to confirm the power subsystem performs to specification under nominal and fault conditions - Documentation: producing and maintaining design documentation, test reports, and requirement compliance records REQUIREMENTS: MUST HAVE SKILLS - Demonstrated experience in power electronics design for battery powered and/or solar powered systems, including familiarity with DC-DC converter topologies - Practical experience with hardware bring-up, debugging, and verification testing of power electronics using standard laboratory equipment (oscilloscopes, electronic loads, power supplies, battery cyclers) - Experience with lithium-ion battery systems, including characterization, safety limits, and thermal behavior - Technical grounding in solar/photovoltaic array integration, including electrical interfacing of a variable voltage source to a power bus - Proficiency with schematic capture and PCB design tools, preferably Altium Designer - Experience with embedded systems as applied to power electronics, including telemetry acquisition and control interfaces between power hardware and a microcontroller - Strong technical writing ability, with experience producing design documentation, test reports, and requirement traceability records - Ability to work independently against defined requirements while coordinating effectively within a small technical team NICE TO HAVE SKILLS - Experience with aerospace or other high reliability electronics programs - Familiarity with component derating methodologies and EMI/EMC design practice - Familiarity with embedded communication protocols relevant to power system telemetry and control (e.g. CAN, I2C) - Experience with power delivery network (PDN) analysis, including reflection/impedance testing to validate transient response and stability under load APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work with research and product teams to build systems that keep pace as their needs change. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This helps us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation other engineers and teams build on Drive alignment on technical direction across teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and turn them into technical designs Own the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes such as incident response, postmortems, and on-call rotations, so the team learns from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A history of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods. What you’ll do Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning. Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code. Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate. Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs. Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment. Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives. Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next. What you’ll bring Strong Ruby on Rails experience in a large production codebase and production experience with Python. Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes. A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch. A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs. Strong application programming interface design and structured query language fundamentals. Experience exploring artificial intelligence-assisted development. The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required. We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply. About the team We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see Plan Team Handbook Page and Spec-Driven Development Initiative How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: • Функциональное, регрессионное, smoke и UI-тестирование веб и мобильных приложений • Тестирование REST API с использованием Postman • Подготовка и поддержка тестовой документации (тест-кейсы, чек-листы, баг-репорты) • Проведение интеграционного тестирования и проверка взаимодействия между сервисами • Воспроизведение, анализ и документирование найденных багов • Участие в планировании тестирования и приемке нового функционала Требования: • Опыт работы QA Engineer от 2-х лет • Знание основных видов тестирования: функционального, регрессионного, smoke, API и UI • Понимание жизненного цикла разработки ПО и процессов тестирования • Опыт работы с REST API, HTTP/HTTPS, JSON и XML • Уверенное владение Postman • Навык составления тест-кейсов, чек-листов и баг-репортов Будет плюсом: • Базовые знания SQL и опыт работы с базами данных • Опыт тестирования интеграций с внешними сервисами (платежные системы, маркетплейсы, государственные сервисы) • Опыт использования DevTools браузера • Опыт автоматизации тестирования (Selenium, Playwright, Cypress или Appium)