Вакансии

— Linux (RPM-based): массовая установка на железо, автоматизация, безопасность, сеть, траблшутинг. — OpenStack (nova, cinder, glance, ovn): инсталляция, HA, тюнинг, безопасность.

Ищем инженера, который будет развивать инфраструктуру и поддерживать её: проектировать решения, проводить миграции и модернизации, автоматизировать эксплуатацию и повышать отказоустойчивость, решать сложные инциденты в инфраструктуре. - Отвечать за стабильность и доступность production-систем — с полными правами и полной ответственностью за результат.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role Every payment we process runs on infrastructure we built. At Checkout.com http://Checkout.com, the Cloud Platform team owns the cloud foundations that global payments depend on: a large multi-account AWS estate, a growing Azure platform, and the networking and connectivity that reaches card schemes and banks worldwide. We are genuinely multi-cloud, and we are looking for a Senior Cloud Engineer who is too - a strong generalist who treats infrastructure as a software problem and can deliver from week one. This is a hands-on senior role in an established, fast-moving team. Everything we run is defined in code, deployed through pipelines, and reviewed like software. You will bring deep cloud expertise across AWS and Azure and pair it with a genuine software engineering mindset: you write Terraform modules others build on, you automate away toil rather than documenting it, and you treat the platform as a product with users, SLOs, and a roadmap. As a Senior Cloud Engineer, you are responsible for the technical delivery of your team's services. You will work closely with your Engineering Manager to shape direction, manage dependencies across pillars, and ensure our platform meets the standards a regulated payments business demands. What we are looking for: Deep AWS expertise: Advanced, hands-on experience designing and operating production infrastructure in AWS at enterprise scale: multi-account architectures (Control Tower, Organizations, SCPs), IAM, KMS, and the core compute, storage, and security services that a large regulated estate runs on. You should have a proven track record of delivering resilient, multi-region architectures. Azure experience: Real production experience with Azure alongside AWS: landing zones, VNet architectures, Entra ID, and the Azure resource and governance model. You understand where the two clouds differ and can design well for both rather than forcing one cloud's patterns onto the other. Software engineering mindset: You treat infrastructure as software. Expert-level Terraform: reusable modules, secure state management, and disciplined code review. You are comfortable in a Git-based workflow with CI/CD (we use Spacelift), and you reach for Python or similar to automate what others would handle with a runbook. No ClickOps. Strong cloud networking: Confident designing and debugging in a complex network estate: VPC and VNet design, hub-and-spoke and Transit Gateway or Cloud WAN architectures, DNS, private connectivity (PrivateLink, Private Link), and enough routing knowledge to own connectivity issues end to end rather than escalate them. Kubernetes: Solid experience running containerised workloads in production, ideally on EKS/AKS: cluster lifecycle, workload deployment patterns, and the operational realities of keeping Kubernetes healthy at scale. Security and compliance awareness: Experience operating in regulated environments. You understand why change control, least privilege, and auditability matter, and you design controls in rather than bolting them on. Familiarity with PCI DSS is a strong plus. Engineering excellence: A focus on observability and measurement: you instrument what you build and answer operational questions with data rather than opinion. Leadership and mentorship: A natural ability to guide and mentor peers, translate ambiguous problem definitions into actionable technical plans, and raise the bar through your code and your reviews. Pragmatic problem solver: You understand when to move fast (creating tech debt) and when to move right (paying it off). You are a cornerstone in incident resolution and root-cause analysis. Experience: 5+ years in cloud engineering roles with significant AWS depth. We need someone who can hit the ground running: comfortable joining a complex, established estate and delivering meaningful work in their first weeks, not their first quarter. A degree in Computer Science or a related field is useful but not required; we care about what you can build. HOW YOU’LL MAKE AN IMPACT: Lead Design & Delivery: Take ownership of large-scale platform projects end to end, from architecture through Terraform to production, ensuring they are scalable, secure, and cost-optimised. Build the paved road: Design the platform primitives that every product team at Checkout.com http://Checkout.com builds on, so that the secure path is also the easy path. Architectural Influence: Work with Engineering Managers and architects to refine requirements and shape the technical direction of the platform, documenting significant decisions as ADRs. Operational SME: Act as the Subject Matter Expert for numerous team-owned services, providing advanced operational support and ensuring high availability for our global payment systems. Evangelise Best Practices: Produce exemplary code and documentation that inspires others. You will be responsible for spreading best practices and standards across your group. Manage Dependencies: Navigate the organisation to manage technical dependencies inside and outside your pillar, optimising for both delivery speed and business outcomes. Foster Culture: Embody Checkout Operating Principles, using them to shape the group’s culture and acting as an example of efficiency and professional excellence. AI Integration: Proactively explore and implement AI-driven automation to enhance infrastructure efficiency and team productivity. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Architecting the sub-millisecond decision engine that powers 200 million daily ad interactions   The Demand Core team and backend platform squads build the foundational infrastructure that determines which of our thousands of active advertising campaigns are relevant to a user the moment they open Playtime. At our scale, system latency is a business failure: downtime means advertisers stop spending, users stop earning rewards, and publisher revenue stalls. As a Staff Backend Developer, you will own the architectural integrity, reliability, and long-term evolution of the distributed systems that power these decisions 200 million times every day across multiple teams. Go microservices load the active ad campaign catalog into memory, evaluating 40+ targeting constraints and 30+ real-time signals like geo, fraud status, budget caps, to rank potential user performance in milliseconds. Beyond individual services, you will define architectural patterns across the entire ad interaction chain: high-throughput processing of clicks, views, MMP postbacks from Adjust and AppsFlyer, and reward-triggering in-app events. You will govern our hybrid messaging architecture using SNS/SQS and Kafka, standardize backend data patterns across DynamoDB, relational, and analytical data stores, and ensure our core ad scoring pipelines remain resilient under massive load.   Your Mission & Who We Are Looking For:   - Production Golang Systems & Architecture Mastery: You bring extensive backend development experience (7+ years, with deep production Go expertise in distributed environments). You will define service boundaries, concurrency models, and runtime optimizations for our +99% Go microservice architecture, scaling the platform reliably beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming & Architecture Patterns: You have deep experience architecting and standardizing asynchronous microservice communication using event backbones like Kafka, SQS/SNS, and Kinesis. You will establish org-wide streaming standards, schema evolution, and CDC patterns to process billions of daily API events and aggregate them into our data lake for sub-second querying. - Large-Scale Data Architecture & Platform Optimization: You understand database internals, distributed storage trade-offs, and low-level web standards. You will standardize data patterns (sharding, replication, DR) across hundreds of terabytes in DynamoDB, MySQL, Druid, and Athena, while leading high-stakes, zero-downtime database migrations and deprecations. - Data Science & Algorithmic Integration at Scale: You quickly grasp complex technical topics, distributed systems trade-offs, and applied mathematics. You will partner with our Data Science team to architect the runtime infrastructure that serves predictive models and machine learning algorithms directly within our sub-millisecond real-time ad targeting engine. - Technical Leadership & Organizational Leverage: You communicate fluently and precisely in spoken and written English. You drive alignment across squads through RFCs and Architecture Decision Records (ADRs), define org-level SLIs/SLOs, sponsor major technical migrations, and mentor Senior engineers across an international engineering team. - Plus: Cloud Resilience & Tooling: Hands-on experience with continuous profiling (e.g., Pyroscope, goroutine dumps), chaos engineering drills, and infrastructure automation using Terraform, Kubernetes, or AWS cloud networking. ‌ 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   What’s in It for You?   At adjoe, you’re not here to just close JIRA tickets, you’re shaping the architectural foundation behind one of the most impactful platforms in adtech. The systems and patterns you design will reach hundreds of millions of users and power billions of decisions every day.   - Go Big. Own the technical direction and platform architecture with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, establish golden paths that unlock engineering speed, and keep momentum. - Be Direct. Solve complex architectural bottlenecks openly and drive alignment across cross-functional teams. - Thrive Together. Grow with and elevate a diverse, global team of engineers from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, solve hard computer science challenges, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

– Yuqori yuklamali (highload) tizimlar bilan ishlash tajribasi. – Tarmoq asoslarini bilish: TCP/IP, DNS, HTTP/HTTPS, load balancing (Nginx, HAProxy).

Location: Armenia Workplace: Remote Location: Valencia, Spain, or Brindisi, Italy, or fully remote within Southern & Eastern Europe (teleworking up to 5 days per week) Start date: ASAP Languages: Professional proficiency in English required; Spanish is a plus Industry: Virtualization / IT Infrastructure / IT Services Duration: 6 months, with the possibility of extension based on performance ABOUT THE OPPORTUNITY Pragmatike is hiring a Virtualization Administrator to provide dedicated operational support for a customer’s enterprise virtualization infrastructure, as part of a long-term project. You will help ensure the stability, security, availability, and continuous improvement of the platform. Under the supervision of the IT Infrastructure Team Lead, you will administer, monitor, maintain, optimize, and troubleshoot VMware vSphere and VMware Cloud Foundation (VCF) environments. You will work closely with the storage, backup, network, security, operating-system, application, and service-management teams. You will also support alternative platforms such as Nutanix, Microsoft Hyper-V, and OLVM/KVM as required. This is a hands-on role for someone who is methodical, service-oriented, and quick to learn. You will resolve incidents and requests, implement approved changes, maintain platform health, security, capacity, and lifecycle compliance, and automate routine tasks. You will work independently on assigned operational tasks while following established procedures and change-management controls. Complex, architectural, or high-risk matters are escalated to senior engineers or the Team Lead. WHAT YOU’LL DO - Install, configure, and maintain VMware vSphere and VMware Cloud Foundation (VCF) environments. - Support Nutanix, Hyper-V, and OLVM/KVM environments as required. - Perform VMware lifecycle patching, host updates, and approved configuration changes. - Implement virtualization solutions that meet the customer’s operational needs. - Apply security best practices and maintain compliance with applicable standards. - Monitor the health and performance of virtual machines and hosts. - Tune environments and proactively identify and resolve performance bottlenecks. - Troubleshoot virtualization issues and resolve incidents and problems while minimizing service disruption. - Maintain scripts and tools that streamline administration, provisioning, configuration management, and monitoring. - Keep current with virtualization technologies and assess improvements, including through proof-of-concept deployments. - Work with IT teams, stakeholders, and vendors to plan and deliver virtualization projects under the Team Lead’s guidance. - Provide timely updates on project progress, issues, and resolutions. - Guide junior colleagues in established practices. - Maintain infrastructure and process documentation, and report regularly on platform health, performance, and capacity. - Provide on-call/standby support on a rotation basis. - Provide ad hoc support within or beyond the team, including special projects or temporary service-delivery assignments, as requested. WHAT WE’RE LOOKING FOR - 5+ years of hands-on experience supporting and operating enterprise-grade virtualization infrastructure in production environments. - Proven hands-on experience installing, configuring, administering, and troubleshooting VMware vSphere and VMware Cloud Foundation (VCF). - Experience with VMware VCF, including VCF Operations and VCF Automation core components. - Exposure to alternative virtualization platforms such as Microsoft Hyper-V and KVM. - Strong scripting and automation skills using tools such as Python, PowerShell, Terraform, or Ansible. - Hands-on experience applying Infrastructure as Code (IaC) principles with Terraform to provision and manage virtual infrastructure, particularly VMware vSphere resources. - Proficiency with command-line tools for managing virtualized systems. - Sound understanding of storage, networking, backup, server hardware, and operating-system dependencies. - Methodical troubleshooting skills and the ability to resolve incidents with minimal service disruption. - Ability to follow established procedures and change-management controls. - Secondary school education or equivalent, supplemented by specialized IT training. - Professional proficiency in English, both verbal and written. - Teamwork: builds effective relationships and resolves conflicts constructively. - Communication: communicates clearly, listens actively, and shares information effectively in writing and conversation. - Ability to work inclusively with people of all backgrounds and perspectives. - Self-management: handles pressure and ambiguity, welcomes feedback, and pursues professional growth. - Results focus: takes initiative and delivers high-quality outcomes. - Adaptability: welcomes new ideas and responds positively to change. NICE TO HAVE - Experience with public cloud platforms and storage management in virtualized environments. - Knowledge of container technologies such as Docker and Kubernetes. - Familiarity with configuration-management tools such as Ansible, Puppet, or Chef. - Knowledge of Continuous Data Protection (CDP) solutions. - Knowledge of Spanish. - VMware Certified Professional (VCP-VCF Administrator, VCAP-VCF, or similar). - HashiCorp Certified: Terraform Associate, or a relevant Red Hat Ansible Automation certification. - ITIL, ISO 20000, or PRINCE2 Foundation certifications. WORKING CONDITIONS - Teleworking: up to 5 days per week - On-call: one week per month (rotation depends on the number of team members) - Overtime must be pre-approved by the client Team Leader - Overtime rates: 125% of the daily rate Monday to Saturday, and 150% on Sundays and client public holidays - Stand-by availability for on-call services is included in the daily rate - Interventions during an on-call period are billed at the overtime rates above - Overtime and on-call interventions may alternatively be compensated with time off, if mutually agreed by both parties WHY JOIN US - Work on a long-term project - Flexible setup: on-site in Valencia or Brindisi, or fully remote within Southern & Eastern Europe, with up to 5 days of teleworking per week - Hands-on exposure to VMware VCF, Nutanix, Hyper-V, OLVM/KVM, and Infrastructure as Code with Terraform - Close collaboration with storage, backup, network, and security teams, under the guidance of an experienced Team Lead - Opportunity to grow through certifications, on-the-job learning, and knowledge sharing Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Remote - EMEA, Remote - NA Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for early members of our Sales team that can form deep partnerships with our prospects and customers to help them adopt and succeed on the next generation of database infrastructure. What's the job to be done? Partner with Sales and Customer Engineering throughout the pre-sales and post-sales journey as the technical expert helping customers solve their most challenging database problems. Lead technical discovery to match customers’ business and technical objectives with PlanetScale’s offerings. Design and execute proof of value timelines that deliver on agreed upon business outcomes and success criteria. Design database migration strategies and work hands-on with customers to execute migrations to PlanetScale's PostgreSQL and Vitess platforms. Assess workloads, analyze performance requirements, and recommend architecture, sizing, and optimization strategies. Build tools, scripts, and automation that accelerate migrations and improve customer onboarding. Create educational content including documentation, guides, blog posts, workshops, and videos. Collaborate with Product and Engineering teams to advocate for customer needs and shape the platform. These attributes best describe you… You have deep expertise in database systems including replication, high availability, sharding, performance tuning, and migration strategies. You're equally comfortable presenting architecture designs to executives and writing scripts to automate migration tasks. You thrive in customer-facing situations and translate technical concepts into business value for diverse audiences. You're self-motivated and can manage multiple engagements simultaneously with minimal oversight. You enjoy creating content and sharing knowledge through various formats. You're comfortable with occasional travel (less than 20%). What you will need 5+ years of hands-on experience with MySQL or PostgreSQL in production, including operations, performance tuning, and troubleshooting OR 5+ years of experience supporting customers with MySQL or PostgreSQL workloads where you advised on operations, performance tuning, and troubleshooting Experience working with at least one major cloud provider (AWS, GCP, Azure, or OCI) Proven success in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Strong understanding of database migration strategies and tooling Experience evaluating database solutions including architecture reviews, capacity planning, and performance analysis Ability to write scripts and tools in Python, Go, or JavaScript Experience creating technical content such as documentation, tutorials, or blog posts What else will help you be successful Experience with AWS Database Migration Service (DMS) or logical replication tools Knowledge of Vitess, database sharding, or distributed database systems Familiarity with Kubernetes and cloud-native architectures Experience with infrastructure-as-code tools like Terraform or CloudFormation Contributions to open-source projects or active participation in database communities Public speaking experience at conferences or meetups Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Solutions Engineer, you'll guide customers through transformational database migrations and help them unlock the full power of PlanetScale's platform. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $160,000 - $250,000 USD

Location: Bengaluru, Karnataka, India, APAC 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 looking for a high-performance, experienced engineer to be a part of a team of Senior Site Reliability Engineer. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL Skills We’re Looking For 6+  Years of experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) #LI-AV1 #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.

Baseten is looking for a Senior IT Systems Engineer to own identity, authentication, access controls, and IT automation.

Разрабатывать и поддерживать Ansible playbook’и, шаблоны конфигураций и docker-compose файлы. Внедрять практики IaC для управления инфраструктурой.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United Kingdom; Spain; Hungary; Bulgaria; Poland; Italy; Netherlands; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams. - Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient. - Implement and maintain dbt best practices, data standards, and quality controls. - Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs. - Create AI agents to serve data questions for others REQUIREMENTS Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team. - Expert knowledge of dbt (required). - Proficiency with tools across the modern data stack (Python, SQL, BI tools). - Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers) - Structured thinking; ability to simplify complex, messy data into clear structures. - Strong ability to understand varied stakeholder requirements and build generalised solutions. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. As a Platform Engineer, You Will Build Core Platform Services Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway. Enable Enterprise Deployment Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments. Own Infrastructure and Delivery Systems Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices. Build for Reliability Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability. Establish Observability Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting. Build FinOps Visibility Develop telemetry that tracks model and compute costs by tenant. The Anti-Sell Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Deployment complexity: The platform must operate across client cloud accounts, dedicated instances, and sovereign environments. Team accountability: The platform must be observable, operable, and maintainable by the team rather than dependent on one individual. Our Enterprise AI Platform Engineers Typically Have Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS. Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment. Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others. Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps. Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog. Data and platform systems experience: Familiarity with Postgres, object storage, queues, and vector stores. Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role. Top-Tier Candidates Will Have Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton. Experience implementing SOC 2 controls in CI. Experience deploying and operating AI systems in regulated or highly controlled environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Nearshore candidates preferred, with availability to work EST or Pacific Time hours Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.