Вакансии

Разрабатывать и поддерживать backend-сервисы и API для интеграции с внутренними и внешними системами; Развивать и поддерживать существующие решения;

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform. You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow. This is a full-time position based in the US. Technologies You’ll Use Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure What You’ll Do Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering. Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale. Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured. Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value. Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations. Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams. Coach team members to maximize performance and efficiency, and prepare them for future roles. Ensure the team shares specialist knowledge across the field through enablement and documentation. Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance. Skills We’re Looking For People Leadership: Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred. Technical Depth: Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts. Cloud and Data Architecture: Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses. AI Fluency: Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work. Technical Sales Acumen: Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process. Communication Skills: Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence. Bonus Skills​ Prior experience at an analytics, ETL, BI, or open-source data software company Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure Experience managing distributed teams across multiple regions and time zones Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval OTE (On Target Earning) $212,004.29 — $294,450.54 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, New York, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. **THIS MUST BE FILLED OUT PRIOR TO SUBMITTING. Please do not change the headers for each section below.** About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. As a Staff Software Engineer working on dbt Fusion, you’ll help build a next-generation analytics engine written in Rust that significantly improves performance, correctness, and developer experience across dbt workflows. You’ll work on a modern, state-aware execution engine with deep SQL understanding across multiple warehouses, enabling faster debugging, smarter orchestration, and more efficient large-scale deployments. This role offers the opportunity to contribute to both open source and commercial code while shaping the future of dbt’s core platform. This position is a unique opportunity to work on mission-critical projects that will significantly improve the experience of our customers and developers . You’ll help build truly differentiated systems and engines that sets us apart from other database technologies. What You’ll Do Collaborate with Product, Design, Operations, and Security to deliver well-architected, scalable compute solutions. Participate in technical architecture discussions with a focus on query engines, storage systems, and distributed database design. Build services, APIs, and experiences that support user delight, quality, high availability, and performance. Tackle ambiguous, open-ended technical challenges with strategic thinking, balancing technical constraints with user needs and product goals. Drive best practices in testing, observability, and system reliability. Champion a culture of technical excellence and innovation, influencing engineering direction across multiple teams or domains. Skills We’re Looking For Strong coding skills (10+ years) in at least one of the following technologies: Rust, Python, Go or Java. Familiarity with cloud infrastructure (AWS, GCP, Azure, Kubernetes, Terraform). Proven ability to participate in complex projects and collaborate across functions. Excellent problem-solving skills, clear communication, and a strong sense of ownership. Interest in systems, data infrastructure, compilers, or analytical tooling , even if experience is primarily academic. Experience working on non-trivial projects (coursework, internships, research, open-source, personal projects) that required persistence and iteration. Willingness and enthusiasm to work across the stack and learn new technologies as the problem demands. Evidence of being self-directed and curious —you proactively learn new tools, languages, or concepts when needed Bonus Skills​ Contributions to open source database technologies projects such as Apache Arrow, DuckDB, MongoDB Runtime, or other analytical data systems. Expertise in database systems, query engines, or storage systems. Experience with performance optimization, observability, or large-scale query engines. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

* Run and improve the services that keep our data centres operating, from deployment pipelines to secret provisioning. * Contribute to SLIs and SLOs for our core platform services.

Location: Remote: United States 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 We’re looking for an Engineering Manager to lead Trust & Safety within Render’s Security team. Your mission is to keep Render a trusted place to build and run applications by preventing fraud and abuse, protecting customers from malicious activity, and making it harder for attackers to use our platform. You’ll lead a team of engineers who build and operate the systems behind this work: detection pipelines, investigation tools, automated enforcement, and protections across the customer lifecycle. You’ll combine strong people leadership with technical judgement, helping the team respond effectively to incidents while investing in systems that prevent recurring problems. You’ll partner closely with Product, Infrastructure, customer-facing teams, Finance, and Legal to translate emerging threats and customer needs into practical engineering work. The decisions your team makes will directly affect customer safety, platform reputation, fraud losses, and the experience of legitimate developers. WHAT YOU'LL DO - Lead and grow the Trust & Safety engineering team through hiring, mentorship, regular feedback, performance management, and career development. - Define the team’s roadmap, balancing investigations and operational needs with sustained investments in prevention, automation, and platform protections. - Guide the design and delivery of systems that detect phishing, malicious workloads, payment fraud, and other forms of platform abuse. - Build investigation and enforcement tooling that gives responders the context to act quickly, records decisions, and supports consistent handling of escalations and appeals. - Lead the team’s response to significant fraud and abuse incidents, coordinating with other Security teams, Infrastructure, Support, Finance, and Legal. - Establish sustainable on-call and response practices, including clear ownership, runbooks, escalation paths, and learning from incidents. - Partner with Product and Engineering to introduce protections at the right points in the customer lifecycle, balancing prevention with onboarding friction and false positives. - Turn knowledge of attacker behavior and recurring abuse campaigns into improvements that protect customers and reduce repeat incidents. - Define and use metrics for fraud losses, detection and response time, false positives, repeat abuse, and operational workload to guide investment. WHAT WE’RE LOOKING FOR - 5+ years experience managing and developing engineers, including hiring, coaching, performance management, and building a healthy, inclusive team. - A strong background in software and security engineering, with the ability to guide system design, review technical proposals, and make pragmatic architectural tradeoffs. - Experience building or operating systems for fraud prevention, abuse detection, Trust & Safety, or adversarial security problems. - Experience leading teams with on-call or incident response responsibilities, and sound judgement when decisions must be made with incomplete information. - The ability to translate ambiguous threats and business needs into clear priorities, incremental milestones, and shipped improvements. - Experience using data to evaluate detection quality, understand operational problems, and measure whether interventions work. - Clear communication and effective collaboration across engineering and business teams, including explaining risks and tradeoffs to technical and non-technical partners. - Empathy for customers and responders, high integrity, and a strong sense of ownership for both team outcomes and long-term system health. NICE-TO-HAVES - Experience with cloud infrastructure, developer platforms, or services that run customer-controlled code and workloads. - Experience addressing payment fraud, phishing, malware hosting, account compromise, or coordinated abuse campaigns. - Experience building threat intelligence pipelines, linking related malicious accounts, or integrating external reputation signals. - Familiarity with Go, TypeScript, Kubernetes, Postgres, Terraform, or Temporal. - Experience partnering with Legal and customer-facing teams on sensitive enforcement decisions and external abuse reports. - Experience building and scaling a team at a growing company. 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: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: remote We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are hiring a Senior Database Reliability Engineer for our Infrastructure Platform Team. You will design PostgreSQL platforms for resilience and high availability, automate everything you touch, and understand how our services use the database, from connection pools to ORM transactions. Your goal is to keep latency within SLO at a reasonable cost, through every change, failover and migration. Our stack today: AWS RDS and Aurora (PostgreSQL, MySQL), Redshift, ClickHouse, Terraform, Ansible, Prometheus, VictoriaMetrics and Grafana, with Java services on Kubernetes. Responsibilities: Design and run highly available PostgreSQL across zones and regions, with automated, tested failover and fencing against split-brain. Define all database infrastructure as code (clusters, parameters, networking, access, monitoring and backups), reviewed by peers and applied through CI/CD pipelines, with drift detection. Build self-service database provisioning so product teams get a production-ready database without waiting on a ticket.Plan and execute migrations, upgrades and table moves with zero or near zero downtime, including cross-version, cross-cluster and cross-cloud work. Partner with developers on schema changes, queries, connection pooling, transaction scope, retries and expand-and-contract migrations, so database issues are fixed at their source. Define SLOs and build SLO-based alerts and dashboards (Prometheus, Grafana or similar) that catch latency and capacity problems before clients do. Design backup and recovery, and prove it with scheduled restore and failover tests that measure RTO and RPO and produce evidence for auditors. Keep cost in view: right-size instances and storage, and choose the cheapest option that meets the requirement. Secure the data: least-privilege access, secrets from a secrets manager, encryption at rest and in transit, audited access and PII masking. Lead and take part in incident response and on-call, write blameless post-mortems and make sure their actions get done. Replace manual runbooks with automation, and document what remains. Requirements: Deep PostgreSQL production experience. You have run PostgreSQL at scale and understand MVCC, vacuum and bloat, locking, replication (physical and logical) and query planning from real incidents, not only from documentation. Infrastructure as code as your normal way of working. Everything you build lives in version control and is reviewed before it is applied. CI/CD in your day-to-day work. Your infrastructure and database changes, including schema migrations, reach production through pipelines. If console clicks, SSH changes or wiki steps are how changes normally happen in your current role, this position is not the right fit. 5+ years running production databases as a DBRE, SRE, platform or database engineer, ideally with a large part on AWS (RDS or Aurora). Experience designing high availability and disaster recovery: replication, automated failover, multi-region or multi-cloud redundancy, and the trade-offs between RTO, RPO and cost. A track record of zero-downtime changes: online migrations, major version upgrades or moving data between clusters. Understanding of how applications use databases: connection pools, ORMs (for example Hibernate), transaction scope, retries and idempotency, and safe deployment order. Observability skills: you define what to measure, alert on SLOs and verify changes with data.Scripting in Python, Bash or Go to automate operational work. Comfort in a regulated financial services environment, where access control, encryption and audit trails are non-negotiable. Clear communication: you reason out loud, own outcomes and partner with developers instead of gatekeeping. Nice to have: Terraform and Ansible specifically, since they are our current tools. MySQL in production. Redshift, ClickHouse or DynamoDB. Logical replication or CDC tooling (pglogical, AWS DMS, Debezium). Kubernetes and running Java services in production. Linux performance tuning and troubleshooting on self-managed database hosts. Vault or another secrets manager. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

• Обеспечивать стабильность сервиса при росте нагрузки и трафика.

Задачи: — Разработка и поддержание текущей инфраструктуры и CI/CD пайплайнов с использованием GitLab CI и ArgoCD — Поддержка развертывания приложений в тестовой и продуктивной средах — Настройка мониторинга и логирования, помощь в расследовании инцидентов Требования: — Опыт DevOps более 7 лет — Уверенный практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform — Опыт работы с Helm, GitOps и инструментами мониторинга — Практические знания Linux, сетевых технологий, скриптов на Shell или Python — Английский язык уровня C1 Условия: — Работа удаленная (часовые пояса UTC+2 to UTC+4)

Задачи: — Лидировать виртуальную команду поддержки и эксплуатации (3-я линия поддержки), которая занимается развитием продукта и его эксплуатацией для большого количества клиентов и партнеров; — Обеспечивать доступность (SLA, SLO, SLI) платформы для конечных пользователей; — Отвечать за надежность облачных сервисов Cloud.ru Evolution для клиентов и партнеров; — Управлять жизненным циклом запуска продуктов (private preview, public preview, general availability); — Отвечать за процессы Change Management, Problem Management в рамках платформы собственной разработки; — Работать вместе с командой разработки (4 продуктовых направлений) над стабильностью и эффективностью сервисов Облачной платформы; — Внедрять изменения в платформу для повышения NPS продуктов. Требования: — Готовность брать на себя ответственность за запуск технически сложных продуктов и обеспечивать их сопровождение; — Понимание процессов поддержки и опыт управления инженерами в линейной или матричной структуре; — Знание работы PaaS-сервисов и отказоустойчивой инфраструктуры продуктов; — Опыт построения процессов поддержки и эксплуатации, включая автоматизацию и мониторинг; — Понимание значения метрик SAT/CSAT, NPS, SLO, SLA; — Опыт работы и понимание архитектуры микросервисов; — Знакомство с современными подходами к разработке и сопровождению ПО (CI/CD, DevOps, SRE); — Навыки работы с инструментами автоматизации (Ansible, Terraform) и контейнерами с оркестрацией (Docker, Kubernetes); — Опыт работы с услугами облачных провайдеров (Google Cloud, AWS, Azure, Yandex Cloud, VK Cloud) будет плюсом; — Опыт работы с крупными клиентами, использующими облачные сервисы.

Отвечать за доступность платформы и развернутых на ней приложений, оперативно устранять инфраструктурные инциденты; Обеспечивать обновление платформы, весь деплой должен быть покрыт тестами с возможностью отката всех внесенных изменений;

Задачи: — Автоматизация эксплуатации Linux-серверов (bare-metal и VM), сетевых сервисов, Kubernetes, CloudNativePG и Nexus. — Создание и развитие инфраструктурных пайплайнов в GitLab CI и Jenkins с проверками, откатом и оповещениями. — Обновление ОС и пакетов без простоя с учётом кворумов и ролей, выводом k8s-нод из нагрузки и возвратом обратно, проверками до и после, настройкой автоматического отката. — Ведение конфигурации через Salt и Terraform с изменениями через merge request и ревью правок коллег. — Разработка инструментов автоматизации на Python и Bash, включая обёртки над API, проверки готовности и отчёты о состоянии парка. — Работа напарником владельца 1–2 компонентов, дежурства, участие в группе эскалации по SLO-алертам. — Ведение runbook и документации, участие в разборах инцидентов, перевод ручных операций в автоматизацию. — Участие в квартальных проектах команды, включая миграции ОС и версий компонентов, сегментацию сети, развитие IaC, помощь младшим инженерам. — Развёртывание, эксплуатация и апгрейды Kubernetes-кластеров, включая проверку совместимости версий, план отката и проверку приложений и системных компонентов после обновления. — Поддержка мониторинга и SLO, устранение источников нестабильности. — Самостоятельный разбор серьёзных инцидентов на дежурствах и подключение владельцев смежных систем. — Автоматизация развёртывания и эксплуатации через Terraform, CI/CD и GitOps, развитие ArgoCD и container registry. — Внедрение сетевой изоляции, RBAC и безопасной доставки секретов совместно с соседними командами и ИБ. — Проведение учений по отказу ноды и площадки, восстановление кластеров из сохранённых конфигураций и данных, планирование мощностей и расходов. — Адаптация компонентов под другого российского облачного провайдера с учётом его ограничений. — Консультирование платформенных и продуктовых команд по Kubernetes и диагностике приложений, ведение инструкций, участие в ревью и подготовка напарника. Требования: — Опыт эксплуатации нагруженной инфраструктуры от 4 лет в роли SRE, DevOps-инженера или Linux-администратора с дежурствами и самостоятельной работой с инцидентами. — Глубокие знания Linux и сетей: процессы, память, I/O, cgroups, DNS, TLS, L4/L7-балансировка, диагностика через tcpdump, ss, mtr. — Сильный опыт с Kubernetes на уровне администрирования кластеров (control plane, апгрейды, CNI, CSI, RBAC, восстановление, stateful-компоненты). — Практический опыт с IaC и конфигурацией: Terraform (модули, state, import), Salt (желательно), изменения через MR и ревью. — Навыки построения CI/CD для инфраструктуры, а не только для сборки приложений. — Опыт автоматизации на Bash, Python или Go (будет плюсом). — Понимание принципов мониторинга: метрики, логи, алерты (Prometheus/Grafana или аналоги). — Опыт внедрения безопасных изменений в продакшене: поэтапная раскатка, проверки между шагами, идемпотентность, dry-run, автооткат. — Автономность в доведении задач и проектов до результата, умение работать в тесной коллаборации с инжинирингом и ИБ. — Умение работать с ИИ-агентами, проверять полученный код, права и последствия изменений. — Будет плюсом опыт с Yandex Cloud, VK Cloud, OpenStack или несколькими провайдерами. — Опыт с собственной инфраструктурой: развёртывание Kubernetes вне managed-сервиса, bare-metal (IPMI, RAID), KVM/Proxmox. — Опыт обновлений без даунтайма: ОС, кластерные компоненты (PostgreSQL, etcd, Consul, Kafka) и парки из сотен хостов. — Опыт с Vault, Cilium/Calico, операторы СУБД, межкластерная сеть. — Навыки тестирования инфраструктурного кода (pytest, molecule, terraform test) и blameless-постмортемов. Условия: — Полная удалённая работа с гибким графиком, офисы в трёх городах России открыты для всех по желанию. — Официальное трудоустройство по ТК РФ. — Прозрачные процессы: performance review дважды в год, понятный инженерный трек, ментор на старте, индивидуальный план развития. — ДМС с первого дня: стоматология, госпитализация, страховка для поездок за рубеж. — 31 день отпуска + 5 дополнительных выходных + 10 дней больничного. — Бюджет на обучение, фитнес и ментальное здоровье. — Возможность влиять на процессы и архитектуру, участие в учениях по Disaster Recovery, высокий уровень ответственности. — Масштаб инфраструктуры: более 10 Kubernetes-кластеров, более 1000 нод и 15 тысяч подов в основном продакшене, сотни кластеров баз данных.

Ripple is looking for a Senior DevOps Engineer to build, automate, and maintain multi-region infrastructure and release pipelines.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Senior Software Engineer to join Cloud Signals , the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product. Cloud Signals owns: Billing and usage metering: turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system. Vortex, our telemetry and event pipeline: high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems. The Notification System: the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform. Usage and admin reporting: giving customers clear visibility into consumption as we move toward consumption-based pricing. As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build. Technologies You’ll Use Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome) Relational databases (PostgreSQL) and cloud data warehouses (Snowflake) Event streaming and messaging systems (Kafka or similar) AWS (plus exposure to GCP or Azure), Docker, and Kubernetes Terraform for infrastructure as code Datadog for observability, alerting, and on-call Third-party billing and payment platforms, plus internal and public REST APIs AI coding assistants and agents (e.g., Claude Code) as part of everyday development What You’ll Do Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production. Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout. Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations. Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost. Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit. Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks. Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team. Skills We’re Looking For 5+ years building and operating production software, with a passion for solving complex engineering problems Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes) Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar) Experience with code reviews, testing, and troubleshooting, and with being on-call Clear written and verbal communication, including writing design docs and working with cross-functional partners Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals Bonus Skills Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe) Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg) Experience with notification or messaging platforms (email, in-app, webhooks) Experience with data processing (ETL/ELT), dbt, or other modern data stack tools Experience working on SaaS platforms at scale #LI-IM1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Поддержка и развертывание новых OpenStack и Proxmox VE с нуля; Обновление и миграция стендов;

Location: Москва Наша команда создает линейку продуктов на основе мультимодальной нейросетевой модели GigaChat, которая является одной из самых мощных и продвинутых моделей искусственного интеллекта, доступных на сегодняшний день. Мы создаем удобный и понятный сервис, позволяющий людям использовать GigaChat для решения повседневных задач и развлечения: поиск ответов на вопросы, работа с документами, создание контента, изучение языков, общение с персонажами и многое другое. Мы ищем опытного Senior-инженера SRE, который возглавит развитие front-инфраструктуры. Вы будете отвечать не только за техническую реализацию, но и за менторство команды, архитектурные решения и стратегическое развитие надежности сервиса. Ваша ключевая задача — построение и развитие системы Observability для высоконагруженной micro-frontend архитектуры, обеспечение ее отказоустойчивости, масштабируемости и безопасности. Вы будете напрямую влиять на SLA/SLI/SLO сервиса и качество продукта, которым пользуются миллионы. Обязанности * проектирование, внедрение и поддержка отказоустойчивой front-инфраструктуры **giga.chat**. * построение сквозной системы мониторинга, логирования и трейсинга (Observability) для micro-frontend систем. * организация процесса управления инцидентами (Incident Management), поиски (Root Cause), внедрение превентивных мер. * развитие инфраструктуры как кода (Infrastructure as Code), автоматизация процессов развертывания, масштабирования и управления конфигурациями. * наставничество Middle-инженеров, code-review инфраструктурного кода, развитие инженерных практик в команде. Требования * **Уровень:** Senior (от 5 лет опыта в SRE/DevOps), наличие подтвержденного опыта на позиции Team Lead или готовность к руководящей роли. * **Архитектура и сети:** * Глубокое понимание принципов построения высоконагруженных и отказоустойчивых систем. * Экспертное знание сетевого стека (модель OSI, TCP/IP, BGP, DNS). Опыт диагностики сложных сетевых проблем в production-среде. * Экспертный уровень владения балансировщиками: NGiNX (включая Lua/NJS для сложной логики), HAProxy, Traefik. Опыт их тюнинга под экстремальные нагрузки. * **Observability:** * Успешный опыт построения комплексных систем Observability "с нуля" для микросервисных и micro-frontend архитектур. * Экспертиза в стеке Prometheus + Grafana: написание сложных PromQL-запросов, проектирование дашбордов и алертов. * Глубокое знание систем логирования (ELK Stack) и распределенной трассировки (Jaeger, Zipkin). Умение коррелировать метрики, логи и трейсы для быстрого поиска аномалий. * **Безопасность:** * Глубокие знания в области информационной безопасности. Опыт внедрения Zero Trust архитектуры, настройки WAF, защиты от DDoS-атак на уровне L7, управления секретами (Vault). * **Инфраструктура:** * Экспертный уровень администрирования Linux. * Экспертиза в Kubernetes: управление кластерами в production, написание Helm-чартов, диагностика проблем на уровне Control Plane и Data Plane. * Уверенное владение IaC-инструментами (Terraform, Ansible) на уровне написания модулей и ролей. Будет плюсом: * Опыт работы с облачными провайдерами (Sber Cloud, Yandex Cloud, AWS) на уровне построения гибридных инфраструктур. * Опыт работы с Service Mesh (Istio) * Опыт работы с базами данных (PostgreSQL, Elasticsearch, ClickHouse, Mongo) * Опыт работы с системами очередей и кеш-серверами (Kafka, Ignite, Redis) Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис рядом с м.Кутузовская * гибридный формат работы: встречаемся очно в офисе 1 раз в неделю * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа

Мы ищем системного архитектора , который будет формировать, обосновывать и защищать архитектуру инфраструктурных решений для заказчиков, участвовать в проектах импортозамещения и обеспечивать соответствие реализации утверждённым архитектурным решениям — от обследования до ввода в эксплуатацию.