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Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably. WHAT YOU'LL DO - Improve speed and reliability of early change feedback - Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows. - Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible. - Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use. - Design and build tools to support concurrent agent execution - Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt. - Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct. - Simplify and establish repeatable patterns - Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down. - Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action. - Build and participate in an on-call rotation as the team takes ownership of critical systems. WHAT WE'RE LOOKING FOR - Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day. - Experience driving cultural and process changes to make engineering teams more effective. - Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems. - Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language). - Hands-on experience with Kubernetes or similar container orchestration. - Familiarity with infrastructure-as-code tools (yup, Terraform). - A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster. - You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you. NICE-TO-HAVES - Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends. - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty. - Security-minded instincts, especially around supply chain and the path from commit to deploy. - Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Brief Job Description: Builds and maintains the infrastructure and tooling that keeps machine learning systems reliable in production — from designing CI/CD pipelines and model deployment workflows to monitoring performance and managing model lifecycle at scale. The role works closely with ML, backend, and platform teams, contributes to automation frameworks and observability standards, and helps ensure AI models move seamlessly from experimentation to production. Requires 5+ years of MLOps or DevOps engineering experience, with a track record of operating robust ML infrastructure in production-grade environments. Mission: Make the path from model experiment to reliable production as fast, automated, and observable as possible. Education: Bachelor’s degree or higher in Computer Science, Engineering, or a related field — or equivalent practical experience. Duties and Responsibilities: Design and maintain CI/CD pipelines for ML models and services. Build and operate model deployment, serving, and rollback workflows. Implement monitoring, observability, and alerting for models in production. Manage the model lifecycle with MLflow: experiment tracking, versioning, registries, and reproducibility. Automate infrastructure and partner with ML and platform teams on standards. Qualifications & Experience: 5+ years of MLOps or DevOps engineering experience. Strong with containers and orchestration (Docker, Kubernetes). Experience with CI/CD (GitLab CI) and infrastructure-as-code (Terraform or similar). Hands-on with a major cloud platform (Azure, AWS, or GCP). Hands-on experience with MLflow for experiment tracking and model registry. Familiarity with ML frameworks (PyTorch), workflow orchestration (Kubeflow or similar), and monitoring stacks. Nice to Have (Not Obligatory): Experience serving LLMs or large models in production. Knowledge of feature stores and data pipeline tooling. Cost and latency optimisation for model serving. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US San Francisco, CA About the Role Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. Responsibilities Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream. Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Desirable Skills, Knowledge, and Experience Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. Compensation Equity This role is eligible to participate in Cloudflare's equity plan. Benefits (may vary by region) Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future, and make life a little easier and fun. The below is a description of our benefits for employees in the United States; benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave Compensation Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $174,000 - $240,000. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — Обеспечивать стабильную и бесперебойную работу кластеров PostgreSQL — Развёртывать новые экземпляры баз данных и кластеры — Настраивать и поддерживать решения высокой доступности (HA) — Реализовывать и поддерживать процессы резервного копирования и восстановления — Автоматизировать рутинные задачи и интегрировать утилиты управления базами данных — Мониторить производительность, выявлять узкие места и устранять их Требования: — Опыт управления командой — Глубокие знания PostgreSQL — Опыт администрирования баз данных не менее 5 лет — Владение Linux — Опыт работы с Bash и Python скриптами — Понимание принципов высокой доступности и резервного копирования — Опыт мониторинга баз данных и анализа производительности Хорошо, если есть: — Знания Docker, Jenkins, Ansible, Terraform — Опыт работы с Kubernetes (EKS или самостоятельное управление) — Знакомство с системами контроля версий (Git) — Опыт работы с Jira и Confluence — Опыт или знания в области финансов и трейдинга — Знакомство с платформой TradingView Условия: — Постоянный контракт — Гибкий график с широким диапазоном начала рабочего дня — Гибридный формат работы: удалённо и в офисе — Пакет релокации с поддержкой визы, транспортировки и проживания — Частная медицинская страховка — Премии за результаты работы — Обучение и наставничество — Премиум-подписка TradingView — Ежегодные командные мероприятия — Хорошо оборудованное рабочее место с тренажёрным залом и дополнительными бонусами

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer Managing Kubernetes clusters across multiple environments and regions Owning infrastructure as code for all resources Maintaining and improving CI/CD pipelines and GitOps-based deployments Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors Building out monitoring, alerting, and observability Debugging production issues across services Managing cloud costs and capacity planning Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for 5-8 years in a DevOps or SRE role, working in production environments Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale Strong Kubernetes experience in a managed cloud environment Proficiency with infrastructure as code (Terraform or similar) Experience with GitOps-based deployment workflows Built or maintained observability stacks (logging, metrics, alerting) Experience handling production incidents calmly and methodically Nice to have: Multi-region deployments Search infrastructure Data pipeline experience (streaming, warehousing) Proxy/networking infrastructure at scale Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Data-Nexus team, a central part of the R&D department at Aidoc, is seeking a versatile Senior Data Engineer to take part in leading Aidoc’s data vision using a lake-house architecture,  and building high-scale solutions for handling and consuming the different data assets of the company. In this role you’ll go beyond traditional boundaries, taking on full product responsibilities - from conceptualization and architecture to design, maintenance, and continuous development. You will collaborate closely with stakeholders across the company to ensure our solutions effectively meet their needs. The ideal candidate will have strong data engineering capabilities, along with software development skills including understanding of designing and managing AWS cloud infrastructure and strong knowledge of different data architectures, methods and tools. Responsibilities Design and development of scalable, reliable, and secure data infrastructure and build ETL pipelines that handle diverse clinical data for research. Write production SQL, Spark jobs and craft schemas that evolve gracefully as research and production questions change. Automate releases with CI/CD and Infrastructure as Code. Optimise throughput, latency and cloud cost to meet research timelines at large scale. Develop and maintain high-quality, scalable, and efficient code while fostering a culture of continuous improvement through regular retrospectives and knowledge sharing. Take ownership of the full development lifecycle , including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance. Collaborate with cross-functional teams , including data scientists, data analysts, product managers, regulatory teams, and other developers, to drive the development of new tools and features that support Aidoc's mission. Explore and adopt new technologies and frameworks that can enhance the capabilities of the Data-Nexus team and the overall data projects in Aidoc. Requirements BSc/MSc in Computer Science, Engineering, or a related field. 8+ years building data or backend systems in Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems. Strong command of SQL and a track record of pragmatic schema design. Deep understanding of data modelling, ETLs and streaming technologies , including hands-on experience with tools like big-data tools like AWS Kinesis / Kafka, Spark. Familiarity with modern lakehouse / warehouse tech, like Databricks, Delta Lake, Iceberg, Snowflake, Redshift. Strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines. Proficiency in Infrastructure as Code (IaC) tools, like Terraform or AWS CDK . Experience with containerization and orchestration tools - Docker, Kubernetes (K8s). Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives. Familiarity with agile development methodologies. Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset. Clear English communication is required. Advantages: Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT). Knowledge of the medical tech world, including EHR (HL7, FHIR) data and imaging data . Prior work in regulated domains (healthcare, fintech, aviation), experience with enforcing and managing compliance requirements like HIPAA or FedRAMP. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.

Location: London Workplace: Hybrid Why Engineering @loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: Senior Software Engineers at loveholidays have strong expertise in: - Supplier integration systems that process vast amounts of data - Industry leading bespoke, high performance search and recommendation systems - Sophisticated real time pricing systems - Complex domain modelling and implementation of booking payment, fulfilment and management systems - AI-powered solutions to assist customers pre and post booking - Best in class, modern user experience through web and mobile applications For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/. Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit - github.com/loveholidays/po-test http://github.com/loveholidays/po-test As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them. Your day-to-day: - Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 - Building and running services at scale in the cloud - Collaborating with engineers, designers, product managers within and outside of the team - Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus - Understanding the wider context of the business and designing system architectures that meet short and long term business goals Your skillset: - Algorithms, data structures - Observability - Web services, REST, HTTP - Containers, cloud - Testing, reliability, monitoring - Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement - Designing systems that scale - Expertise in some of our main programming languages - TypeScript, Java, Golang, Rust, Python Desirable - Experience with Kubernetes, Prometheus, Terraform, NoSQL or GCP Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers The interview journey: - TA screening - 30 mins - 1st Stage - Introduction - 45 mins - Coding challenge - take home test or live pairing - 2nd Stage - 3 hours At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices. Main Roles and Responsibilities: You will directly influence our platform's scalability to support growth and R&D efficiency Own Infrastructure projects end-to-end, from research and design to implementation and rollout. Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency. Evaluate and implement new technologies that upgrade our infra posture. Collaborate with other engineers to define standards, patterns and platform roadmap. Serve as a technical expert in infrastructure decisions and a driver of engineering excellence. Job Requirements: At least 7+ years of hands-on experience in DevOps in large-scale infrastructure companies. Passion for elegant and effective technological solutions. Independent learning capability and curiosity without boundaries. Strong analytical and problem-solving skills. Proven ability to lead complex technical projects independently. Technical requirements: Advanced experience with Kubernetes and container orchestration. Strong proficiency with IaC Frameworks such as Terraform and Terragrunt, CDK Solid hands-on experience with AWS services. Strong understanding of network fundamentals. Experience with GitOps tools (ArgoCD) Experience with advanced CI/CD pipelines Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Hybrid / Berlin Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role You'll own the layer everything else runs on: bare-metal servers, operating systems, data-center networking, and storage across on-prem and fully air-gapped sites — the physical and infrastructure foundation our platform and GPU fleets are built on. You design, build, and operate server fleets with a strong automation and DevOps mindset, then partner with our SRE, MLOps, and ML teams to ensure everything running above the metal — including GPU inference — performs reliably at scale. Some of this work is hands-on at customer sites, where you size, rack, and commission self-contained server environments with no internet uplink. We weight depth in modern data-center infrastructure, networking, and automation more heavily than GPU-specific experience. A strong infrastructure and network engineer with a genuine automation mindset — even without prior GPU exposure — is a better fit for this role than a candidate with GPU expertise whose networking background is rooted in legacy, corporate-style L2 designs. What you'll do Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments (firmware/BIOS/UEFI, BMC via Redfish/IPMI, OS, RAID, kernel and storage tuning) using zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell/Ironic) and automation (Ansible, Terraform, or equivalent — the tooling matters less than the automation mindset). Build and run modern data-center networking: L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) sized to scale without ripping out the core. Engineer resilient, highly available storage (Ceph/Rook, NVMe) with capacity planning and encryption at rest. Operate confidently in air-gapped and on-prem environments: offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening. Support MLOps and inference-serving fundamentals — GPU model serving (Triton/KServe/vLLM), GPU scheduling and sharing, and throughput/latency optimization — in partnership with our SRE and ML teams. Plan and run on-site build-outs: rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites. About You 5+ years in bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale. Strong bare-metal Linux (Ubuntu, RKE2, Talos, or similar): provisioning, firmware/BMC management, PXE/iPXE, kernel and storage tuning, systemd, RAID. Real experience with infrastructure automation (Ansible, Terraform, or equivalent), Git and CI/CD, and scripting in Python, Bash, or Go. Solid, current data-center networking fundamentals: L2/L3, IP Fabric, BGP, and switching — this is a hard requirement, not a nice-to-have. RDMA (RoCE/InfiniBand) experience is a strong plus. Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments. Practical hardware sizing literacy: power budgets, thermal/cooling, UPS sizing, and rack integration. Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany. Nice‑to‑haves German language (B1+); exposure to regulated or security-critical environments (e.g. BSI C5, ISO 27001, or defense-sector delivery) is a plus. NVIDIA GPU stack knowledge (drivers, CUDA, GPU Operator, MIG, DCGM) and cross-node GPU interconnect experience (NVLink, InfiniBand, NCCL). Kubernetes bare-metal fundamentals — how cluster bring-up and GPU device plugins interact with the underlying hardware, not day-to-day cluster operation. Inference optimization (vLLM, TensorRT-LLM, quantization) and familiarity with switch NOS (SONiC/Cumulus). Relevant certifications (NVIDIA, Red Hat, CKA/CKS) or field/forward-deployed engineering experience. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.

Задачи: — Проектирование архитектур безопасности для облачной инфраструктуры и приложений с применением принципов secure-by-design. — Сотрудничество с командами продукта и архитектуры для внедрения средств контроля безопасности и автоматизации моделирования угроз. — Аудит и проверка реализации мер безопасности в инфраструктурных манифестах и CI/CD пайплайнах. — Контроль безопасности продукта при миграции из дата-центров в публичные облака, такие как AWS. — Консультирование инженерных команд по лучшим практикам безопасности и требованиям нормативного соответствия. Требования: — Возможность релокации из России или Беларуси. — Опыт обеспечения безопасности микросервисов, разработанных на JavaScript и TypeScript. — Владение инструментами CI/CD (GitLab, Jenkins) и Infrastructure-as-Code (Terraform, Helm, CloudFormation). — Практические навыки разработки на Python или Shell. — Глубокое понимание безопасности цепочки поставок, целостности программного обеспечения и безопасной доставки ПО. — Опыт работы с Docker и mesh-технологиями, такими как ISTIO. Будет плюсом: — Опыт проектирования безопасных сервисов на Kubernetes и AWS. — Знание законов о конфиденциальности, таких как GDPR, и отраслевых стандартов PCI, ISO 27001, NIST. — Профессиональные сертификаты в области безопасности (CISSP, CISM, CCSK, CCSP, CEH). Условия: — Медицинская страховка с глобальным покрытием. — 23 рабочих дня отпуска в году плюс оплачиваемый больничный. — Пакет релокации, включающий билеты, проживание в отеле до 2 недель и визовую поддержку для сотрудника и семьи. — Возможности профессионального развития и изучения языков. — Ежегодный пересмотр вознаграждения и регулярные тимбилдинги.

Location: Lisbon; Belgrade Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Middle/High-Middle DevOps / SRE Engineer to help run and improve our production platform in GCP + GKE, fronted by Cloudflare, with observability in Datadog and CI/CD in GitHub Actions. You’ll work closely with Senior/Principal engineers, implementing reliability improvements, expanding monitoring coverage, and reducing operational toil - especially important in a highload system with sudden traffic spikes. KEY RESPONSIBILITIES Platform Operations - Operate and improve production systems on GCP, GKE, and related managed services - Contribute to platform reliability, scalability, and operational improvements alongside Senior and Principal engineers Infrastructure & Delivery - Implement infrastructure changes using Terraform and maintain Kubernetes configurations, Helm charts, and deployment tooling - Improve CI/CD automation and deployment reliability Observability & Incident Management - Build and maintain monitoring, alerting, and observability in Datadog - Participate in incident response, troubleshooting, and postmortem activities Security & Cost Optimization - Support security tooling, vulnerability remediation, and secure platform practices - Identify and implement cost optimization opportunities without compromising reliability REQUIRED QUALIFICATIONS - Hands-on production experience with Kubernetes (ideally GKE) and basic cluster operations. - Working experience with Terraform and Helm in PR-based workflows. - Familiarity with GCP services used in SaaS operations (e.g., Cloud SQL, BigQuery, BigTable, Pub/Sub, Cloud Run, Memorystore). - Monitoring/alerting and troubleshooting skills (preferably Datadog). - Strong scripting/automation mindset to reduce manual work and prevent repetitive incidents. - Reliability awareness: understanding how changes affect availability/latency and how to operate under SLA constraints. PREFERRED QUALIFICATIONS - Cloudflare basics (WAF/DNS, edge concepts; Workers/CDN is a plus). - Experience writing/maintaining runbooks and participating in postmortems. - Exposure to SOC 2 / PCI-DSS requirements or willingness to learn. - Experience in high-load consumer products or game dev. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Lisbon; Belgrade Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Senior/Principal DevOps to own our cloud-only platform and keep it reliable under high-load and bursty traffic. Our services run entirely on GCP, fronted by Cloudflare, with deep observability in Datadog and CI/CD in GitHub Actions. This is a hands-on role with real ownership: ensuring we meet our SLA/SLOs, scaling fast (10–50×), and keeping infrastructure efficient and cost-conscious as the company grows and microservices multiply. KEY RESPONSIBILITIES Platform Reliability and Scalability - Own and evolve production infrastructure on GCP and Cloudflare - Ensure platform availability, performance, and reliability in line with SLA/SLO targets - Design and operate systems capable of handling rapid traffic spikes and high-load scenarios - Drive capacity planning, autoscaling, bottleneck removal, and resilience improvements Kubernetes and Infrastructure - Build and maintain Infrastructure as Code using Terraform (and Terragrunt where applicable) - Own Kubernetes operations on GKE, including upgrades, scaling, and operational hardening - Maintain platform tooling, deployment infrastructure, and operational standards Observability and Incident Management - Build and improve observability using Datadog, including monitoring, logging, and APM - Lead incident response, root cause analysis, and long-term reliability improvements - Reduce operational noise and improve detection of critical system issues Security and Delivery - Operate core security tooling and coordinate remediation efforts across teams - Improve deployment reliability and developer experience through CI/CD automation and platform guardrails Cost Optimization - Own infrastructure cost visibility, optimization, and FinOps initiatives REQUIRED QUALIFICATIONS - 5+ years of experience in DevOps, SRE, or Platform Engineering roles - Proven experience operating production SaaS infrastructure with defined reliability targets and SLA/SLO ownership - Strong expertise in GCP, Kubernetes (GKE), and Infrastructure as Code using Terraform - Experience with Cloudflare, observability platforms (Datadog or similar), and modern CI/CD practices - Strong automation and scripting skills with a reliability-first mindset - Experience designing and operating scalable, high-availability distributed systems - Familiarity with SOC 2 / PCI-DSS audits and security architecture requirements. PREFERRED QUALIFICATIONS - Experience in game dev or similarly bursty high-load consumer products. - Mature SRE practices: error budgets, on-call maturity, runbooks, proactive incident prevention. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Задачи: — Проектирование, разработка и поддержка RESTful API для фронтенд-приложений и интеграций с корпоративными системами. — Оптимизация схем DynamoDB, индексов и паттернов доступа к данным для масштабируемых приложений. — Разработка и поддержка AWS Lambda функций на Python для бизнес-логики и автоматизации. — Модификация и улучшение контактных потоков и логики маршрутизации Amazon Connect. — Проектирование событийно-ориентированных архитектур с использованием Lambda, EventBridge, SQS, SNS и API Gateway. — Сотрудничество с Amazon Professional Services по вопросам внедрения и улучшения решений. Требования: — Опыт работы с AWS не менее 8 лет. — Опыт работы с Amazon Connect (контактные потоки, маршрутизация, очереди, интеграции) не менее 4 лет. — Уверенное владение Python и разработка AWS Lambda функций. — Обширный опыт проектирования RESTful API и интеграций бэкенда. — Глубокие знания в проектировании схем DynamoDB и оптимизации производительности. — Опыт работы в Agile среде. Плюсы: — Опыт работы с Infrastructure as Code с использованием Terraform. — Опыт конвертации AWS CDK или CloudFormation шаблонов в Terraform. — Опыт работы с IBM ODM. Условия: — Гибкая удалённая работа "Work From Anywhere". — Комплексный компенсационный пакет, включая медицинскую страховку и курсы языков. — Программа релокации. — Возможности профессионального развития через сертификационные программы и наставничество. — Инклюзивная мультикультурная среда с регулярными тимбилдингами.

Location: United States; United Kingdom; Canada; Germany; Australia; Singapore Job Type: Full-time Location: Remote Work Schedule: Overlap with UK, US, or Canada business hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across the UK, United States, Canada, Europe, and Australia. Our clients include venture-backed startups, SaaS platforms, AI companies, FinTech businesses, and enterprise technology firms scaling modern cloud infrastructure globally. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international companies as long-term in-house team members, contributing to mission-critical engineering initiatives. Job Summary We are hiring an experienced Senior DevOps Engineer to support fast-growing international companies building scalable cloud-native platforms and enterprise infrastructure. This role is ideal for engineers with deep expertise in Kubernetes, CI/CD automation, cloud infrastructure, and platform reliability who enjoy working in high-performance remote engineering teams serving North American and UK markets. You will help architect infrastructure, improve deployment velocity, optimize reliability, and support highly available production environments across modern SaaS and cloud platforms. Key Responsibilities Design and manage scalable, secure, and highly available cloud infrastructure. Build and optimize CI/CD pipelines for reliable software delivery. Manage Kubernetes environments and container orchestration systems. Implement Infrastructure-as-Code solutions using Terraform or similar tools. Improve platform observability, monitoring, and incident response processes. Collaborate with engineering teams on release automation and deployment workflows. Troubleshoot production infrastructure and application performance issues. Support cloud security, compliance, backup, and disaster recovery initiatives. Contribute to platform scalability, reliability, and cost optimization efforts. Mentor junior engineers and promote DevOps best practices across teams. Requirements 5+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering roles. Strong experience with Linux systems and cloud environments. Hands-on experience with Docker, Kubernetes, and CI/CD tools. Experience with Terraform, GitHub Actions, Jenkins, GitLab CI/CD, or similar platforms. Familiarity with AWS, Azure, or Google Cloud Platform. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or ELK Stack. Scripting or programming experience using Python, Bash, Go, or JavaScript. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Nice to Have Experience with ArgoCD and GitOps workflows. Knowledge of networking, security, and distributed systems. Cloud certifications (AWS, Azure, Kubernetes, Terraform). Experience supporting SaaS or enterprise applications. Open-source contributions or technical blogging experience. Benefits 💰 Competitive salary based on experience and technical expertise. 🌍 Fully remote role with international opportunities. 🚀 Work with modern cloud-native technologies and high-growth companies. 📈 Long-term career growth opportunities in DevOps and platform engineering. 🛠 Exposure to enterprise-scale infrastructure and automation projects. 🤝 Collaborative engineering culture with flexible remote work environment.

Location: Poland; Romania; Bulgaria; Georgia; Serbia; Ukraine Job Type: Full-time Location: Remote Work Schedule: Flexible Hours with overlap for UK/UAE/US teams About Huzzle At Huzzle, we connect exceptional global talent with leading companies across the UK, US, Europe, Canada, and the Middle East. Our clients range from fast-growing startups to enterprise technology companies operating in SaaS, AI, FinTech, cybersecurity, and cloud infrastructure. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international clients as long-term, in-house team members contributing to mission-critical projects and infrastructure. Job Summary We are seeking an experienced Senior DevOps Engineer to lead infrastructure automation, cloud platform reliability, and deployment scalability initiatives for international technology companies. This role is ideal for someone with deep expertise in Kubernetes, cloud infrastructure, CI/CD automation, and platform engineering who thrives in fast-paced engineering environments and enjoys solving complex infrastructure challenges at scale. You will collaborate closely with software engineers, security teams, and product stakeholders to improve deployment workflows, optimize infrastructure performance, and maintain highly available cloud-native systems. Key Responsibilities Architect, implement, and maintain scalable cloud infrastructure environments. Design and optimize CI/CD pipelines for high-frequency deployments. Manage Kubernetes clusters and container orchestration environments. Build Infrastructure-as-Code solutions using Terraform and automation best practices. Improve platform reliability, scalability, and system observability. Monitor production systems using Prometheus, Grafana, ELK Stack, or similar tools. Implement security, backup, and disaster recovery best practices. Troubleshoot infrastructure, networking, and deployment issues across environments. Collaborate with engineering teams on release management and platform optimization. Mentor junior engineers and contribute to DevOps best practices across the organization. Requirements 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure roles. Strong hands-on experience with Kubernetes, Docker, Linux, and cloud-native technologies. Experience with AWS, Azure, or Google Cloud Platform. Strong expertise in Terraform and Infrastructure-as-Code methodologies. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD. Strong scripting or programming experience using Python, Go, Bash, or JavaScript. Knowledge of networking, security, distributed systems, and cloud architecture principles. Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or ELK Stack. Excellent communication skills and ability to work independently in remote environments. Nice to Have Experience with GitOps workflows and ArgoCD. Exposure to AI infrastructure or large-scale distributed systems. Experience supporting enterprise SaaS platforms. Certifications in AWS, Azure, Kubernetes, or Terraform. Open-source contributions or technical blogging experience. Benefits Competitive salary based on experience and technical expertise. Fully remote opportunity with global engineering teams. Work on modern cloud-native infrastructure and large-scale systems. Long-term career progression opportunities into Lead or Principal Engineering roles. Access to cutting-edge DevOps, Kubernetes, and automation technologies. Collaborative engineering culture with high-impact technical ownership. Flexible work environment focused on autonomy and performance.