Вакансии

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. WHAT YOU'LL DO - Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. - Build and improve services that support namespace provisioning, configuration, scalability, and reliability. - Develop data pipelines that process high-volume usage and operational data across multiple tenants. - Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. - Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. - Participate in code reviews, design discussions, incident response, and production debugging. - Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. - Improve developer and customer experience through automation, better tooling, and incremental product improvements. WHAT YOU'LL BRING - Experience building and operating production backend systems in a cloud environment. - Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. - Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. - Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. - Experience with databases, data pipelines, messaging systems, or object storage. - The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. - An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. - Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. - A commitment to correctness, maintainability, and leaving systems better than you found them. NICE TO HAVE - 3+ years of work experience - Experience with Go. - Experience with PostgreSQL, Redshift, Kinesis, Firehose - Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. - Familiarity with Kubernetes and cloud infrastructure. - Experience supporting on-call rotations, investigating incidents, or improving production observability. - Familiarity with Temporal concepts—or a strong interest in learning the platform. TECHNOLOGY STACK - Primary language: Go - Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse - Data processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core framework: Temporal You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . This is a seasoned engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. You will set the architectural direction for the systems you own, make and document the key design tradeoffs, and provide strong leadership within and across scrum teams to deliver on that vision. This role will partner with cross-functional teams to build and scale critical security products engineered specifically for offensive cyber capabilities (DoW) and healthcare programs (HHS). Essential Duties and Responsibilities Proactively research, prototype, and introduce technologies and  system designs for green-field products. Lead the design of new systems and major changes to existing ones: write design docs, evaluate alternatives, and document tradeoffs and decisions (e.g., ADRs) Primary IC for green-field product, ensuring long-term code maintainability, readability, and extensibility. Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration. API & Integration Design, develop, and maintain scalable and secure APIs, UIs and integration services. Implement RESTful, RPC, and event-driven APIs/UIs for internal and external systems. Collaborate with product, data, and platform teams to ensure seamless system interoperability. Manage API lifecycle including versioning, authentication, monitoring, and performance optimization. Develop and maintain integration pipelines between SaaS systems, data sources, and third-party applications. Troubleshoot integration issues, conduct root cause analysis, and implement fixes. Support continuous improvement through automation, observability, and best practices. Education, Experience, Knowledge, Skills, and Abilities 5+ years of experience of software development experience Strong proficiency in TypeScript and modern JavaScript. Extensive experience with React and JavaScript web development frameworks (Next.js preferred) Experience with ORM frameworks and relational databases, including data modeling and provenance tracking patterns (Prisma, Drizzle, PostgreSQL) Experience building long-running, fault-tolerant workflows with durable execution engines (Inngest, Temporal, or similar) Hands-on experience integrating state-of-the-art LLMs into production systems, including agent design, tool use, and evaluation Strong understanding of integration patterns, and experiencing building external API integrations (pub/sub, webhook, ETL, etc.). Excellent debugging, analytical, and problem-solving skills. Preferred Experience Bachelor’s degree in Computer Science, Software Engineering, or related field. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time with travel to client sites Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Block Earner is looking for a Senior Backend Engineer to design, build, secure, and operate Java backend services on AWS.

● Опыт тестирования АТ от 1 года. ● Уверенная работа с API: знание структуры HTTP-запроса (заголовки, тело, методы, коды статусов).

Location: Remote, APAC Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position permanently, with four 10-hour shifts covering weekends during APAC Hours: 00:00-10:00 UTC - We are primarily looking for someone in Southeast Asia or India time zones for this shift. - This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Развертывание и оркестрация микросервисных приложений стрима в кластерах Kubernetes — Автоматизация CI/CD пайплайнов (создание и поддержка конвейеров сборки и деплоя с использованием Groovy) — Администрирование Kafka, PostgreSQL с помощью cloud — Подготовка документации Требования: — Опыт работы на позиции DevOps/SRE от 3х лет — Глубокие знания Kubernetes, понимание архитектуры, опыт работы с helm, абстракциями (Pod, Deployment и т.п.) — Опыт работы с Kafka, понимание принципов работы брокера, опыт конфигурации — Опыт администрирования PostgreSQL, знание SQL, базовое понимание оптимизации запросов и индексов — Уверенное владение Groovy, Bash/Python — Знание Git-систем — Будет преимуществом: опыт работы в финтехе или банковских проектах (понимание специфики ИБ, работы с критичными финансовыми данными) Условия: — Удалённая работа с оформлением по ТК РФ в IT-аккредитованную компанию или ИП — ДМС (включая стоматологию) — Компенсация фитнеса — Скидки на обучение английскому (Skyeng) — Индексация заработной платы — Современная техника — IT-аккредитация компании

Проектировать и разрабатывать backend для ключевых пользовательских сценариев. Продумывать архитектуру сервисов, API, модели данных и интеграции.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career pat 🛠️ THE STACK Python services on FastAPI, async SQLAlchemy and PydanticAI, Temporal for durable execution, PostgreSQL, MCP, Daytona sandboxes, various LLM model providers, Terraform on AWS, React with Vite. Our main backend is a Flask monolith. We deploy daily and believe in distributed ownership: you build it, you own it. 🤖 THE AGENTIC PLATFORM AREA In 2027, we expect to run more AI agents than we have employees. Agents already do real work at Alan. They answer members' health questions, resolve support requests, read medical documents, detect fraud, automate operational tasks, and write a large share of our code. But every team building an agent ends up solving the same hard problems again: how to call models safely with health data, how to give an agent tools and the right permissions, how to know whether a prompt change made it better or worse, how to debug what it did. The result: several agent frameworks and evaluation stacks, each with its own security and compliance story. The Agentic Platform area was created to fix that. Our mission: make it cheap, fast and safe for every Alaner or crew to build, run and improve agentic products and workflows. We own the environment agents run in (infrastructure, runtime, evaluation, observability, skills lifecycle), with security, privacy and compliance by design, and the generalist products on top: Hopper and the Agent Studio. Product teams and all Alaners own their agents, skills, and their outcomes. We give them the paved road. Two crews, one team: - Hopper is every Alaner's AI companion. Five months after it started, 80% of Alaners use it, 3k sessions are created each day, and about 30% of our pull requests are opened from it (watch how we built it https://www.youtube.com/watch?v=hAu7Ngfd0ys). - AI Product Platform builds the shared blocks every AI product at Alan runs on. For instance, our ops teams now build agents autonomously on our Ops AI Platform (read how https://medium.com/alan/how-we-bootstrapped-an-ai-agents-platform-for-operations-at-alan-fefd87ed6314, watch the talk https://www.youtube.com/watch?v=_pg1ij8k5Rw). 🧩 PROBLEMS YOU'LL ONLY FIND HERE Run agents at scale - 🧠 One runtime for every AI product. A shared agent framework, from a single model call to multi-agent workflows with live streaming, and one gateway to every model: routing, failover across providers, quotas and cost per use case built in. - ⏳ Agent sessions that last for hours. Durable sessions, started from the web, Slack, Linear or GitHub, that survive pod restarts and deploys, and pick up exactly where they left off. - 📦 Sandboxes at scale. An isolated environment for every agent session and every evaluation, on an infrastructure compliant with sensitive data, with negligible boot overhead. Make agents trustworthy and proactive - 🔌 One tool gateway to the whole company. An MCP gateway that connects agents to internal tools and data, external services, computer use, managing identity and credentials. - 🔐 Agents safely acting on critical data. We give each agent no more than the access it needs. Every tool call goes through identity, permissions, confirmations and audit. No sensitive data leaks. - 🧪 Evals you can replay in time. Re-run an agent or skill against production as it was at a past point in time, on real data, safely isolated. Anyone can ship knowing their change is an improvement rather than a regression. - 🔁 Agents and skills that proactively fix themselves. Every run is traced, and every human correction, failed tool call or escalation becomes a prioritized fix that Hopper can apply. Put agents in everyone's hands - 📚 Skills as a product. A registry where Alaners and teams publish, share and version their skills, so that nothing needs to be repeated twice. - ✨ AI that non-engineers can own. Alaners who ship code through Hopper, Operators or Sales who build their own agents or skills in our Studio and operate them from their day-to-day tools. - ⏰ Automations and artifacts. Agents that run on a schedule or on an event, and build the dashboards and hosted sites that become the go-to places for collaboration. ⭐ IS IT YOU WE’RE LOOKING FOR? What you'll do - Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality - Work closely with the people who use what you build: Alaners, product teams, ops - Own reliability, cost and security in production - Mentor engineers, contribute to our product and engineering culture, and help build the team Experience we value - 3+ years in software engineering, with solid backend fundamentals - Platform-leaning or product-leaning: both are welcome. Depth in at least one of: distributed systems and runtimes, evaluation and data quality, security and authorization, product UX - A good sense of user and developer experience, whatever you build - You built products, platforms or infrastructure used by other people - Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus; ML or MLOps experience is a plus Mindset we value - You measure success by adoption, not by what is available - You make concrete tradeoffs between speed, reliability, cost, security and user experience - You simplify complexity with clear abstractions and maintainable code - You care about whether people can understand and verify what an AI system did - You keep up with the latest AI technology and know the open-source AI ecosystem - Self-directed, pragmatic, humble, collaborative, enthusiastic about learning and teaching - Excited about AI changing who can build, investigate and automate work Above all, we look for high potential and curiosity: make sure to show us this when you apply. Everything else is a bonus. You should be fluent in English (no French required). 🌍 HOW WE WORK - Location: you must be legally eligible to work in France, Belgium, or Spain. - Remote work: we offer remote work flexibility, but we value in-person collaboration. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents.   IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

— Разработка модулей планирования снабжения и производства. — Алгоритмы, структуры данных, Big O.

Location: European Union What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Moldova; Montenegro; Slovenia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

-Разрабатывать Python-сервисы и инструменты самообслуживания для продуктовых команд. -Автоматизировать управление инфраструктурой и доступами к её компонентам.

Объединить две команды: общие процессы, стандарты код-ревью, единые подходы к разработке, тестированию и релизам; Провести аудит сервисов, найти дубли и подготовить план консолидации.

— Поддержка и мониторинг сервисов на Java, SAP HANA, PostgreSQL и Kubernetes. — Разбор и устранение технических инцидентов.

Задачи на проекте. - Оценка трудоёмкости задач;

— Разработка и сопровождение Java-приложений и REST-сервисов в микросервисной архитектуре. — Покрытие разработанного кода unit-тестами.