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Ищем сильного DevOps-инженера, который будет отвечать за инфраструктуру Orion: облачные и on-premise развёртывания, стабильность сервисов, CI/CD, мониторинг, безопасность и поддержку высоконагруженных AI-видеоаналитических систем. В работе будут Docker, PostgreSQL, RabbitMQ, GPU-серверы, VPN, видеопотоки и production-окружения клиентов. Обязательные требования: — Опыт DevOps / SRE / Infrastructure Engineer от 3 лет. — Уверенное администрирование Linux: troubleshooting, networking, systemd, package management. — Сети: TCP/IP, DNS, load balancing, firewall, VPN, reverse proxy; умение диагностировать потери пакетов, пропускную способность и узкие места. — Практический опыт с AWS, GCP, Azure или Yandex Cloud. — Docker: Dockerfile, multi-stage builds, docker-compose, оптимизация и безопасность образов. — Terraform и Ansible. — Prometheus, Grafana, логирование и алертинг. — OpenTelemetry: collectors и pipeline traces / metrics / logs. — PostgreSQL + Patroni: репликация, failover, backup, performance tuning. — RabbitMQ: очереди, exchanges, кластеризация, мониторинг. — Nginx: reverse proxy, SSL/TLS, load balancing, rate limiting, caching. — GitLab CI/CD. — Keycloak, FreeIPA и HashiCorp Vault. Будет плюсом: — WireGuard или Amnezia VPN. — NVIDIA GPU: драйверы, CUDA, мониторинг и контейнеризация. — Kubernetes, Helm, Ingress, operators и troubleshooting. — Bash/Python-скрипты. — Security best practices: least privilege, CIS benchmarks, secrets rotation. — Опыт high-load и high-availability систем. — Умение писать небольшие инфраструктурные утилиты с использованием AI-агентов.

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 We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls Assess new system implementations and changes Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities Assist in scoping and planning for annual SOX IT assessments Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations Perform system and process risk assessments to identify control gaps and recommend remediation Own control documentation and ensure audit-ready evidence is current and complete Evaluate IT automated controls and support the shift from manual to automated control reliance Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program Build strong working relationships with process and control owners across the organization Translate technical control requirements for non-technical stakeholders and vice versa Support SEC cybersecurity disclosure requirements and related risk monitoring efforts Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them Experience designing, testing, and documenting controls across access management, change management, and computer operations Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment Ability to effectively guide and direct the work of internal team members and/or co-sourced partners Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders Strong project management and organizational skills with close attention to detail Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications 12+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment Hands-on experience with cloud environments (GCP, AWS, and/or Azure) Experience scaling a compliance program to public-company standards Track record of scaling an audit or SOX program through periods of rapid growth Familiarity with enterprise systems such as Workday, Salesforce, or GitHub Experience evaluating SDLC controls in modern software development environments CISA, CIA, CISSP, CPA, or equivalent certification Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited 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: $230,000 — $300,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: ES - Spain Scopely is looking for a Senior Identity Security Engineer to join our Information Security team on a remote basis or hybrid basis if located in Barcelona.  This is a hands-on engineer who will build identity controls that reduce excessive privilege and protect critical operations. You will improve access across employee, player, business partner, and non-human identities by building AI-native identity workflows: agentic systems that handle provisioning, access reviews, and remediation within explicit guardrails, with humans approving what matters. Your work will protect the identities and access that support Scopely’s critical business processes, including essential enterprise functions and game operations.  This is a highly technical, hands-on role for someone who can operate across AWS, GCP, Okta, AWS IAM Identity Center, Zero Trust access models, identity governance workflows, and modern AI-enabled engineering environments, while building scalable identity systems through Infrastructure as Code, workflow orchestration, and automation-first security engineering. What You Will Do Reduce identity attack surface and privilege Reduce standing and excessive access with least-privilege roles, just-in-time and time-bound elevation, and automated access reviews. Build repeatable identity and access workflows that make onboarding, approvals, role changes, reviews, and offboarding consistent, traceable, and timely. Govern non-human identities, including service accounts, workload identities, CI/CD identities, API credentials, and AI agents and their tool integrations: inventory them, assign owners, replace long-lived secrets with short-lived or federated credentials, and rotate or revoke on a schedule and on signal. Strengthen identity protection and resilience Protect access to critical business processes and systems with phishing-resistant authentication (passkeys/FIDO2), device trust and posture signals, tightly controlled privileged access, and prompt revocation of suspicious sessions or compromised credentials. Threat-model identity platforms, integrations, and access paths to identify exploitable trust relationships, privilege escalation, and credential misuse. Build identity telemetry and response workflows to detect risky sign-ins, privilege changes, credential misuse, and compromised integrations. Design and test break-glass and recovery procedures for identity services and cloud access so teams can regain secure access during an outage or compromise. Extend the same patterns to player and partner identities where security owns the controls: platform identity federation (Apple, Google, Steam, console), account linking and recovery, external and vendor access, and defenses against account takeover and credential stuffing. Build AI-native identity services Build and operate reusable identity controls and services using infrastructure as code, APIs, scripting, and delivery pipelines. Apply code review, testing, drift detection, and audit trails so that every change, whether made by an engineer or an agent, is safe to deploy and easy to investigate. Design and build multi-agent workflows that surface identity risk, run access attestations, and triage and remediate access issues end to end. Engineer the harness those agents run in: scoped tools and permissions, curated context and data access, evals and test cases, orchestration between agents, and observability, so agent behavior is predictable, reviewable, and improvable. Treat agents as identities. Give every agent and MCP integration its own scoped credentials, least-privilege permissions, and bounded data access; validate inputs and outputs; log every action; and require human approval for changes that touch privileged access or production. Work with game and platform stakeholders to adopt shared identity patterns. Measure progress through reduced standing privilege, stale access, and unmanaged identities, and less manual work. Produce audit-ready evidence for access reviews, privileged access, and lifecycle events as a byproduct of the workflows rather than a separate project. What You Bring 5+ years of experience in IAM, or identity-focused cloud/security engineering, including hands-on ownership of production identity controls in complex environments. Strong experience with Okta or a comparable workforce identity platform and AWS/GCP IAM, as well as federation and provisioning protocols such as SAML, OIDC, OAuth, and SCIM. Production experience building, testing, and operating identity services or automation using Terraform or comparable infrastructure as code, Python, Go, or TypeScript., APIs, version control, and CI/CD. Strong knowledge of least privilege, just-in-time privileged access, identity lifecycle and governance, authentication controls, and non-human or workload identity risk. Experience threat-modeling identity architectures, integrations, and access paths, and driving remediation with service owners. Hands-on experience building AI-native workflows: systems where agents carry out multi-step work end to end, designed from the start around what agents can be trusted to do and where humans approve. Using a coding assistant does not count. Working fluency with harness engineering and multi-agent development: defining tools and permissions, scoping context and data, writing evals, orchestrating specialized agents, and instrumenting agent runs so failures are diagnosable, plus the judgment to keep those systems inside least-privilege boundaries. Ability to lead technical work from design through deployment and operations, and explain identity risks and implementation choices to stakeholders. Experience with identity governance, privileged access, or cloud entitlement tooling, or having built the equivalent in-house. Nice-to-have Consumer identity (CIAM) at scale, Kubernetes workload identity, detection engineering or SIEM experience, Okta or cloud security certifications, gaming or live-service experience. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Databricks, an American IT firm specializing in a unified cloud platform for big data and AI, is seeking Forward Deployed Engineers in Amsterdam and Senior Forward Deployed Engineers in Stockholm. Candidates should have experience with Python, Scala, JavaScript or TypeScript, Apache Spark, and cloud platforms such as AWS, Azure, or GCP. Familiarity with CI/CD pipelines, MLOps, machine learning and AI models, as well as AI APIs, is required. These positions are on-site roles.

Location: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Spark Team builds and supports the energy trading business, which is active globally across gas, power and emissions markets. The Spark platform encompasses the purchase and sale of physical commodities and associated derivatives, the nomination of volumes to pipelines and transmission networks, and the ongoing management of the resulting positions and risk. Your future role within QRT We are seeking a Full Stack Engineer to work in close collaboration with the trading desk and wider business, translating requirements into delivered functionality across the full breadth of the Spark platform. The successful candidate will assume responsibility for work from end to end. The role is expected to involve the following activities: Engage directly with traders, operations staff and other business users to understand their requirements and shape them into deliverable work. Implement features end to end across the Spark platform, encompassing interfaces, data models and the screens upon which users depend. Extend the platform to support new trading locations, markets and products as the business expands. Maintain and improve the existing estate as a long-lived production system. Contribute alongside colleagues to the platform’s technical direction and the standard of the codebase. Take genuine ownership of work from the first conversation through to production. Work within a small team that maintains high engineering standards, with limited process between the engineer and deployment. Your present skillset Substantial commercial experience in the design and delivery of full stack applications. Strong command of programming and computer science concepts, preferably in a low-level language. Proficiency in modern browser-based JavaScript, including ES modules, web components and data-intensive interfaces. Sound working knowledge of SQL and relational and analytical databases. Demonstrable ability to work directly with non-technical colleagues and translate an imprecise request into a clear and testable requirement. Desirable to have experience or a willingness to learn in the following areas Python, Rust, JavaScript and HTML. AWS and the deployment of distributed environments. ClickHouse or another columnar or analytical database. AG Grid or comparable data-grid technologies. Front-end frameworks, including Alpine.js and FAST Element web components. Commodities, energy or financial markets. Prior exposure is advantageous but not required, as the domain can be taught. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control. Responsibilities Pillar 1 Deployment and Delivery Own build, CI/CD and release for the platform across cloud and on-premise targets. Build and maintain installers and update paths that work in restricted and offline environments. Manage database migration and rollback paths for customer installations. Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site. Pillar 2 Infrastructure Run the Kubernetes and GitOps side of the platform. Own secrets management, access control and infrastructure-as-code. Implement monitoring and log aggregation across internal and customer environments. Integrate with Constructor's platform, identity and deployment tooling. Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code. Pillar 3 Security and Governance Introduce static analysis and dependency and licence scanning into the pipeline. Own backup, recovery and continuity for the platform. Support audit and compliance requirements from funded research and customer contracts. Accountability: no single undocumented dependency on one person, including yourself. Requirements Experience Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale. Real experience of on-premise and offline deployment, not only cloud. CI/CD pipeline ownership end to end Skills & Competencies Autonomous and proactive. You have carried infrastructure alone. Willing to hand knowledge over rather than hold it. Interested in the product and the science, not only the pipeline. Clear communicator in English. Education & Languages Degree in computer science or engineering, or equivalent practical track record. Fluent English. What This Role Is (and Is Not) This role IS Full ownership of infrastructure for a technically unusual product. A role where you finally get a team around you. Exposure to a broad modern stack. This role is NOT A pure cloud or pure on-premise role. A ticket-driven operations role. A role without contact with the product.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As a Senior DevOps Engineer at QRT, you will be a key player in designing, building and maintaining the infrastructure that powers our quantitative research and trading platforms. You will work closely with developers and quantitative researchers to ensure seamless CI/CD pipelines, robust automation and scalable deployment strategies. Your future role within QRT Building and maintaining environments for Python development, ensuring optimal performance, compatibility and security Developing and maintaining CI/CD pipelines to enable rapid and reliable software delivery across multiple environments Architecting and maintaining cloud infrastructure on AWS, with a strong focus on EKS (Kubernetes) for container orchestration Ensuring the stability and security of on-premises production systems, including infrastructure automation and monitoring Implementing and managing automation tools to improve operational efficiency and reduce manual intervention Collaborating with globally distributed teams, ensuring smooth communication and coordination between teams in different time zones Driving best practices in DevOps, infrastructure as code (IaC) and security compliance Your present skillset Strong experience in CI/CD pipeline development and deployment automation Proficiency with container orchestration tools such as Kubernetes (EKS) and Docker Expertise in Infrastructure as Code (IaC) using tools like Terraform or CloudFormation Strong background in AWS services, including EC2, S3, Lambda and networking components Hands-on experience managing on-premises production systems, ensuring high availability and scalability Proficiency in monitoring, logging and security best practices for cloud and on-prem environments Excellent English communication skills to effectively coordinate across teams in different locations Ability to document workflows, troubleshoot issues and provide clear technical explanations A proactive mindset, capable of driving process improvements and automation initiatives QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT A key member of the development team, building and enhancing key components for QRT Building and supporting new quantitative trading framework software Designing clean architecture and leveraging state of the art tools and components Alerting: Define alert thresholds, reduce alert noise, and ensure actionable and meaningful alerts Incident Response: Develop and optimize on-call processes and incident response playbooks. Participate in the on-call rotation Service Reliability: Analyze system performance metrics and conduct root cause analysis for outages and degradations Automation: Automate response to common issues and improve self-healing capabilities Collaboration: Partner with development teams to instrument applications and ensure SLIs/SLOs/SLAs are well-defined and tracked Your present skillset 2-10 years’ professional experience Advanced skills in one or several programming languages Strong Python skills for automation and scripting, very high standards in code quality and good development practices Knowledge of real-time systems, high performance computing and quantitative applications an advantage Familiarity with container orchestration (e.g., Kubernetes) and cloud platforms (AWS specifically is a plus) Experience working in a high-availability, low-latency environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Задачи: – Разработка и оптимизация ETL-процессов с использованием Python и SQL. – Разработка и внедрение масштабируемых конвейеров обработки данных для обработки различных источников данных. – Работа с реляционными базами данных (например, PostgreSQL, Oracle) для обеспечения эффективного хранения и извлечения данных. – Оптимизация SQL-запросов и скриптов Python для повышения производительности и удобства сопровождения. – Внедрение надежной обработки ошибок, ведение журналов и мониторинг для конвейеров обработки данных. – Взаимодействие с межфункциональными командами для интеграции и управления источниками данных. Требования: – Более 5 лет опыта в области проектирования данных. – Навыки работы с Python и SQL на экспертном уровне – умение писать эффективный, масштабируемый и поддерживаемый код. – Обширный опыт в проектировании ETL-процессов и работе с большими массивами данных. – Глубокое понимание оптимизации производительности баз данных и оптимизации запросов. – Опыт работы с моделированием данных и проектированием схем. – Знание решений для облачного хранения данных (Azure, AWS или GCP). – Высокие навыки решения проблем и способность работать самостоятельно. – Желательно: опыт работы с PySpark, оркестраторами и знание CI/CD для автоматизации процесса развертывания. Условия: – Полностью удаленная позиция с гибкими условиями работы.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description About the role Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance. The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities - Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform - Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers - Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications - Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications - Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases - Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans - Provide hands-on support for all event-based systems including incident triage and root cause analysis About You While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer. - Strong presentation and communication skills with a proven track record of influencing engineering organisations - Strong engineering background with a track record of implementing and owning event streaming platforms - Hands-on experience working with stream technologies, ideally Kafka - Experience designing and implementing stream processing applications with Flink - Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) - Experience with Kubernetes (either self-hosted or on the cloud) - Experience with SQL databases - Experience working with Docker, container deployment and management - Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines - Excellent programming skills with at least one of Java or Python Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Espoo; Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Flight Software Deployment Engineer - Location: Warsaw, Poland/ Espoo, Finland - Department: Flight Software Build & Release Team - Reports to: Flight Software Build & Release Team Lead - Employment type: Permanent - Workplace model: Hybrid (3 days in the office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Build & Release team owns the path from source to flight-ready software across growing satellite constellations. This role exists because every artifact that reaches satellites in orbit must be reproducible, traceable, and verifiable. A bad update is not a simple rollback, it could mean a satellite becomes at risk. This is not a generic SRE or DevOps role, the production environment is composed of satellites flying 500 km above our heads, and the software artifacts are cross-compiled embedded binaries. The role is in the realm of half build engineering and half embedded Linux development, you need to be willing to work at both ends. Satellites are treated to OTA updates regularly which our team must make sure are built and deployed the right way, utilizing software development best practices. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Hands on software engineering of our satellite on-board updating system, built to deploy software and firmware updates: features, maintenance, tests and documentation. - Contribute to the build layer across the flight software domain, so every repository is built, versioned and packaged the same way. - Enforce immutable releases and harden the packaging and signing pipelines: least-privilege permissions, pinned workflows and dependencies, approvals, and proper signing key management. - Work with the Linux platform team on how updates land on the satellite on-board computers, covering packaging format, filesystem layout and access control, making sure what we build installs cleanly and safely. WHAT WE’RE LOOKING FOR Must haves: - Embedded software engineering experience, with hands-on embedded Linux development: cross-compilation for ARM or similar targets, kernel configuration, device tree overlays, root filesystem and image construction. - Production CI/CD experience for compiled artifacts, not only containers or web deployments. GitHub Actions specifically is required, and workflow hardening experience is valuable. - Working proficiency in C and C++ build environments, and in Python and Bash for automation. - Experience implementing release integrity controls, immutable artifacts storage. Signing key management, PKI and trust chains, AWS object-lock storage and cloud key management are all valuable here. - Shipping software to embedded devices already in the field with a package-based update mechanism, ideally opkg, under controlled release processes, quality gates and formal sign-of Nice to haves: - Command of CMake, including multi-repository setups, toolchain files, and shared build infrastructure that other teams consume. Buildroot experience is relevant here. APPLICATION PROCESS - Conversation with talent acquisition (~30 min). - Screening with the hiring manager (~60 min). - Technical test - take home task to be completed in 3 to 5 working days. - Technical deep-dive (~90 min). - On-site office visit & director interview (~60 min). 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.

Karta.io — это платформа виртуальных банковских и криптовалютных карт, которая позволяет оплачивать покупки по всему миру с помощью стейблкоинов и криптовалюты. Мы ищем Lead Platform Engineer, который заберёт платформу и инфраструктурную безопасность внутрь команды и доведёт её до продакшн-зрелости. Требования к кандидату: - 3+ года опыта в продакшн с AWS и Kubernetes - Опыт работы с Terraform в продакшн - Опыт в продуктовой компании с инфраструктурой - Участие в аудите PCI DSS или SOC 2 Type 2 - Английский на уровне объяснения для не-инженеров - Знание GitOps (ArgoCD / Flux) будет плюсом - Опыт эксплуатации Python/Django-приложений

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for a Quantitative Developer to contribute to the development of analytics tools supporting automated trading strategies. You will work closely with quantitative researchers, traders, and other technology teams to design and deliver solutions covering the entire trading lifecycle, from pre-trade analysis and real-time monitoring to post-trade performance and execution analysis. This role combines quantitative development, data analysis, and full-stack engineering. It offers a high level of autonomy and direct exposure to trading activities. Your future role within QRT Design and develop pre-trade and post-trade analytics tools for automated trading strategies Build intuitive dashboards for traders and quantitative researchers Develop analytics related to execution quality, slippage, transaction costs, positions, risk and strategy performance Process, analyse, and visualise large volumes of market and trading data Close collaboration with traders and quantitative researchers to understand their needs and turn them into reliable, scalable solutions Contribute to the architecture and continuous improvement of the analytics platform Ensure the quality, reliability and maintainability of applications through testing, monitoring and code reviews Proactively identify opportunities to improve existing tools and development processes Your present skillset Strong proficiency in Python Solid knowledge of TypeScript Strong experience with Vue.js and modern front-end development Knowledge of AWS cloud services would be a plus Familiarity with CI/CD pipelines and automated deployment practices (GitLab) Experience designing APIs and data-driven applications Good understanding of software engineering principles, testing and version control Experience with financial markets, quantitative analytics or electronic trading would be an advantage Ability to work autonomously and take ownership of projects Excellent communication and collaboration skills Proactive, pragmatic and solution-oriented mindset Strong focus on delivery, reliability and user experience QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Задачи: — Проектировать и строить инфраструктурные примитивы, определяющие масштабирование CI/CD платформы, систем сборки и сред разработки по всей инженерной организации. — Помогать строить и эксплуатировать Kubernetes-контрольную плоскость для CI/CD платформы, включая инфраструктуру self-hosted раннеров GitHub Actions (автомасштабирование, изоляция, оптимизация затрат и производительности), GitHub Apps и GitHub-as-code (права доступа, вебхуки, автоматизация на уровне организации), безопасный сетевой доступ для CI/CD и удалённых сред разработки (Tailscale), GitOps-деплой платформенных сервисов (Flux), эфемерные/по требованию среды разработки и системы сборки. — Разрабатывать ключевые инфраструктурные компоненты, включая Kubernetes Operators и автомасштабирование, которые напрямую используют продуктовые команды, снижая необходимость в индивидуальных CI/CD и средах. — Не заниматься операционной поддержкой, а создавать системы, определяющие процесс сборки, тестирования и деплоя, формируя надёжность и масштабируемость опыта разработчиков в организации. Требования: — 6–9+ лет опыта в SRE, платформенной или инфраструктурной инженерии. — Подтверждённый опыт масштабирования Kubernetes в высоконагруженных продуктивных средах. — Глубокие знания Kubernetes, включая внутренние механизмы, поведение планировщика, кастомные ресурсы и диагностику сбоев на уровне кластера. — Опыт создания платформенной инфраструктуры, контрольных плоскостей или Kubernetes Operators, а не только их использования. — Сильный опыт распределённых систем и обеспечения надёжности в продуктиве. — Владение Terraform и GitOps, включая проектирование и сопровождение автоматизации, а не только выполнение сценариев. — Опыт работы с GitOps-подходами (Flux, ArgoCD). — Практический опыт масштабных CI/CD платформ: GitHub Actions (self-hosted раннеры, workflows-as-code), GitHub Apps, системы сборки. — Опыт работы с AWS и облачной инфраструктурой в продуктиве. — Владение Go (предпочтительно) или другим системным языком. Условия: — Удалённая работа из Канады. — Зарплата от 90 000 до 125 000 USD в год.

Location: US Remote; Mexico About the role This is an ideal opportunity for a highly motivated individual to get in on the ground floor as we build out our Professional Services and Managed Services functions at Cyberhaven. The Senior Data Protection Analyst holds a key position in providing continuous value for our customers and is responsible for advancing the mission of identifying potential insider threats and investigating endpoint forensic incidents. You will be responsible for performing technical analysis of data security incidents, finding and exposing risk in a customers environment as well as handling documentation and project management aspects of incident response. You will also perform analysis of events and incidents. What you’ll do - Provide insight into DLP analytics and related issues. - Analyze Cyberhaven’s Data Detection and Response (DDR) platform event data to improve policies and incidents/alerts and bring focus to areas where data loss risk may exist. - Refine datasets and policies and manage them as customers’ data risk strategy matures and business needs evolve. - Prepare and present summaries and reports to internal team members. - Eliminate noise and false-positive information from analytic results to enhance detection accuracy. - Conduct forensic analysis on people, groups, and non sanctioned egress destinations as requested.   Who you are - 5+ years with data protection or adjacent security tools (EDR, SIEM, SOAR) and 2+ years in Insider Threat/InfoSec. - Strong grasp of endpoint protection best practices and incident mitigation workflows. - Experience with DLP, Insider Threat, CASB and controls for handling sensitive data. - Comfortable across macOS, Linux, Windows and cloud platforms (AWS, GCP, Azure). - Data & automation: SQL for analysis; build/maintain dashboards; edit XML-based DLP rules; script and use APIs. - Excellent problem-solving and communication skills; collaborative on a global team; customer-centric with a passion for cloud security and emerging tech.   Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering. In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations. Key Responsibilities Scientific & Clinical Data Platform Architecture Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS). Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models. Process Engineering & Manufacturing Integration Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems. Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms. Enterprise Data Engineering & Compliance Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL. Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment. Technical Leadership & Domain Alignment Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications. Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering. Domain Adaptability: Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, PySpark, and expert-level SQL. Data Platforms: Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems. Orchestration & ETL: Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines. Data Pipelines: Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations. Domain Competency (Scientific & Process Focus) Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) OR chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional. What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure. Not a non-coding Architect: This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Ho Chi Minh City, Vietnam; Vietnam Top Reasons To Join Us Working for the Insurtech Market Leader. 100% Remote Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP). About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C. We’re the winner of the Insurtech of the Year in all of Asia and other awards globally. We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more. We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world. We are fully funded and backed by reputable VC funds and strategic institutional investors. We have a global presence in Asia, EMEA and the Americas. We’ve grown our annualized revenue by over 30x since January 2021. We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world. About the Role We are seeking a Senior Full Stack Engineer with a strong focus on Support & Observability to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences. You’ll be part of the frontline technical team —working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role, solid software engineering skills and strong observability knowledge are essential . About Support Team Our Support Team acts as the first line of technical assistance for our customers and internal stakeholders. We not only resolve technical issues but also focus on advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams to elevate the overall experience. The team works closely with product and project engineering teams to deliver the best possible experience to our customers at scale , ensuring that solutions are not only reactive but also continuously improved for long-term impact. What You Will Do Triage and troubleshoot support issues, when required escalate to project or product engineering teams. Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems. Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions. Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary. Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java). Configure enterprise monitoring solutions. Conduct thorough post-incident reviews to identify root causes and implement preventive measures. Automate support needs, develop runbooks, improve and maintain support tools. Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning. Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling. Participate in R&D / explorations / automation with AI. Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution. Participate in strategic discussions around customer lifecycle, retention, and satisfaction. What We Need At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies. Strong hands-on experience in software development with modern technologies such as .NET, Node.js and React or Vue.js. Proven experience leading a squad/team , coordinating team members, driving delivery, and providing technical guidance and mentorship. Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems. Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures. Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution. Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams. Fluent in English. A customer-first mindset—empathetic, responsive, and solutions-driven. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. You might thrive in this role if You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues. You have previous experience in the insurance or InsurTech space. You are proficient with customer support platforms (e.g., Jira, Zendesk). You have proven track record of leading and scaling customer service operations in a fast-paced environment. Why You'll Love Working Here International Environment Competitive remuneration package Fully Remote Annual Leave Annual Performance Bonus Stock Options after 6 months Health Insurance Remote Work Allowance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.