Вакансии

Задачи: — Отвечать за надёжность, производительность и масштабирование production PostgreSQL-кластеров в 24/7 среде — Влиять на архитектуру и развитие database-инфраструктуры — Заниматься reliability engineering, performance tuning и автоматизацией Требования: — 5+ лет hands-on опыта с PostgreSQL в production — Глубокое понимание PostgreSQL: WAL, VACUUM/autovacuum, locking, memory management — Опыт performance tuning: execution plans, индексы, оптимизация запросов, partitioning — Опыт HA/DR: replication, failover, backup/recovery, Patroni или аналоги — Опыт работы с Linux + Python для автоматизации — Опыт работы с high-load / highly available 24/7 системами — Английский Upper-Intermediate+

Задачи: — Развивать Kubernetes-инфраструктуру в облаке и на bare-metal. — Автоматизировать инфраструктуру с помощью Terraform и Ansible. — Создавать и улучшать GitLab CI-пайплайны, работать с Helm и ArgoCD. — Развивать мониторинг, логирование и алертинг, участвовать в решении инцидентов. — Писать инструменты и автоматизацию на Python или Go. — Помогать командам разработки работать с платформой. Требования: — Практический коммерческий опыт в DevOps или инфраструктурной инженерии. — Уверенная работа с Linux и понимание сетей. — Опыт Kubernetes или OpenShift. — Практика автоматизации инфраструктуры и настройки CI/CD. — Опыт работы с мониторингом и логами. — Умение рассказать о своих решениях и личном вкладе в проекты. Условия: — Удалённая работа и гибкое планирование рабочего времени с учётом командного покрытия и поддержки. — 20 оплачиваемых дней отпуска + 12 дополнительных дней отдыха в год. — Больничные со 100% оплатой. — Поддержку профессионального развития: курсы, сертификации и обучение. — Развитие в направлении Platform Engineering и SRE с поддержкой технического лида.

Location: Warsaw We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We’re especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana’s infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana’s long-term vision for storage reliability. Debug production issues across the stack. Yes, there’s an on-call rotation – but this isn’t a pager monkey role. You’re here to fix things properly and make sure they don’t break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you’re comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you’re only comfortable with scripting, this isn’t the right role . We’re looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You’ll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn’t a role where you’ll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Задачи: — Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS. — Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio. — Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis). — Поддержка CI/CD процессов. — Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus. — Участие в on-call ротации и решение инцидентов в продакшене. — Разработка внутренних инструментов на Go для автоматизации повторяющихся задач. Требования: — Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call. — Глубокие знания AWS (VPC, IAM, EKS, RDS). — Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные). — Умение писать код, опыт или готовность изучать Go. — Сильные навыки расследования, отладки и решения проблем. — Быстрое обучение и адаптация к новым технологиям. — Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности. Условия: — Удалённая, офисная или гибридная работа (Лимассол, Кипр). — Гибкий график работы. — Конкурентная зарплата и пакет опционов. — Оборудование для комфортной и продуктивной работы. — Премиум подписка SIMPLE. — 21 день оплачиваемого отпуска плюс праздничные дни. — Фокус на результатах, а не на времени за столом.

Требования: — Опыт работы с AWS — Опыт работы с Kubernetes — Знание VPC, IAM, EKS, RDS — Хороший уровень английского языка

Основные требования: — 5+ лет опыта в Cloud Engineering, ML Infrastructure или смежной области. — Сильный практический опыт работы с AWS, Azure, GCP или private/hybrid cloud. — Опыт production-развертывания AI/ML workloads at scale. — Практический опыт работы с Kubernetes. — Опыт построения и поддержки MLOps pipelines. — Практический опыт с LLM inference, GPU infrastructure или model serving. — Опыт работы с высоконагруженными production-системами. — Хорошее понимание cloud architecture, networking и infrastructure automation. — Понимание принципов security, data protection и access control. — Способность проектировать инфраструктуру с учетом масштабируемости, надежности, производительности и безопасности. — Хорошие коммуникационные навыки и способность эффективно работать с кросс-функциональными техническими командами. Чем предстоит заниматься: — Проектировать и развивать cloud-инфраструктуру для AI/ML-продуктов. — Развертывать и масштабировать AI/ML workloads в production, включая LLM inference и model serving. — Проектировать и поддерживать Kubernetes-инфраструктуру и MLOps pipelines. — Работать с GPU-инфраструктурой и высоконагруженными production-системами. — Обеспечивать масштабируемость, отказоустойчивость, производительность и безопасность AI-систем. — Взаимодействовать с ML Engineers, Software Engineers, DevOps и другими техническими командами. Что мы предлагаем: — Официальное трудоустройство и конкурентоспособная заработная плата; — Профессиональный рост и развитие в дружном коллективе — Удаленный формат работы

Задачи: — Развивать и поддерживать IT-инфраструктуру, обеспечивать стабильность и отказоустойчивость систем. — Настраивать и сопровождать процессы CI/CD, автоматизировать развёртывание и эксплуатацию сервисов. — Работать с контейнеризацией и оркестрацией на базе Docker и Kubernetes. — Автоматизировать инфраструктурные и эксплуатационные задачи с использованием Ansible, Bash и Python. — Администрировать базы данных, обеспечивать резервное копирование, восстановление и мониторинг. — Поддерживать и оптимизировать процессы загрузки, преобразования и обработки данных (ETL). — Участвовать в развитии хранилищ данных (DWH) и витрин данных. — Настраивать мониторинг, алертинг и диагностику инфраструктуры и сервисов. — Анализировать и устранять проблемы производительности, загрузки и обработки данных. — Использовать AI-инструменты и AI-агентов для автоматизации рутинных DevOps-задач и повышения эффективности работы. Требования: — Опыт работы в DevOps и/или Data Engineering от 4 лет с практическими навыками в обоих направлениях. — Уверенное владение Linux (Ubuntu/Debian, CentOS/RHEL). — Опыт работы с Docker, Kubernetes и Helm. — Практический опыт работы с Ansible и CI/CD на базе GitLab. — Навыки автоматизации с использованием Bash и Python. — Уверенное владение SQL и опыт работы с PostgreSQL. — Опыт работы с одной или несколькими СУБД: PostgreSQL, ClickHouse, Greenplum. — Понимание принципов построения хранилищ данных (DWH) и организации ETL-процессов. — Опыт работы с Apache NiFi и/или Apache Airflow. — Опыт настройки мониторинга и алертинга (Grafana, Prometheus или аналоги). — Понимание сетевых технологий и протоколов TCP/IP, HTTP, DNS. — Умение самостоятельно решать технические задачи и взаимодействовать с проектной командой. Будет плюсом: — Практический опыт разработки ETL-процессов, хранилищ и витрин данных. — Опыт работы с Python-библиотеками SQLAlchemy и Pandas. — Знакомство с продуктами Arenadata (ADB, ADS, ADH). — Опыт работы с Hadoop, PySpark или Apache Kafka. — Опыт работы с Terraform и OpenStack. — Опыт настройки высокодоступных и масштабируемых систем. — Понимание принципов Data Quality и опыт автоматизации проверок качества данных. — Практический опыт использования AI/LLM-инструментов и AI-агентов для автоматизации инженерных задач.

Location: Chicago, Austin DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Container Infrastructure team provides scalable on-premises and cloud-based container orchestration services for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Technical Lead for our Container Infrastructure team. In this role you work closely with other teams and trading desks to ensure the performance and reliability of our Kubernetes platform. The platform is large: hundreds of clusters, thousands of nodes, and dozens of components. Common day-two tasks include development of new components, monitoring costs, and ensuring compute consumption for each desk is optimized. The Technical Lead is responsible for key design of architectural decisions for our platform, setting engineering standards, prioritizing and assigning technical work, as well and identifying and eliminating risks and technical debt. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Kubernetes platform. Work with different business units to ensure a successful onboarding and deployment of applications into DRW’s Kubernetes platform. Promote DRW’s Kubernetes platform with demos, lightning talks, and presentations. Relentlessly automate repetitive manual tasks. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help solve complex problems, set a high standard for operational and technical excellence Your background: Multiple years of Kubernetes administration experience. Deep knowledge of networking, storage, and containerization fundamentals Familiarity with AWS and/or Google Cloud Platform. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with common Kubernetes operators (Flux, Fluentbit, Fluentd, Prometheus, etc.) Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com

Задачи: — Build CI/CD as a product: unified pipeline templates in GitLab CI — Adopt GitOps approach to deployment — Reduce time-to-production and ... Требования: — Terraform — Ansible — Helm — GitLab CI (or equivalent experience with another CI) — Understanding of...

Location: Singapore, Singapore Workplace: Hybrid ABOUT PAVE BANK Pave Bank is the world’s first programmable business bank. Built by the founders behind Monzo and BigPay, we’re redefining global business banking by combining programmable financial infrastructure with world-class client experiences. ABOUT THE ROLE We are looking for a Head of Platform Engineering to own the development and operation of Pave Bank's platform infrastructure. This is a hands-on technical leadership role. You will define the technical direction for platform engineering, remain deeply involved in the design and implementation of critical systems, and help shape the engineering practices and capabilities required as Pave scales. The role is load-bearing, with direct responsibility for production systems, technical troubleshooting, and participation in the on-call rotation. WHAT YOU'LL DO - Own the technical direction and evolution of Pave's platform infrastructure. - Design, build, and maintain reliable platform systems and services on GCP. - Remain hands-on with software development, particularly in Go. - Design and implement authentication systems using OAuth 2.0, including authentication flows and integrations in Go. - Work with Temporal for workflow orchestration. - Build and operate production workloads on Kubernetes. - Design and manage cloud networking infrastructure, including VPC, Cloud IPsec, and KMS. - Work with Cloud SQL and PostgreSQL, including the design and operation of production database systems. - Own and improve platform CI/CD and infrastructure-as-code practices. - Establish and maintain appropriate observability, monitoring, and alerting across platform systems. - Act as a technical lead for complex platform and infrastructure problems. - Take ownership of production issues and participate in the on-call rotation. - Work closely with other engineering teams to build platform capabilities that support their technical requirements. - Make practical architectural decisions and drive projects from design through implementation and operation. - Help establish the engineering standards, practices, and technical foundations for the platform as the function grows. - Mentor and support engineers working on platform and infrastructure as the team develops. WHAT WE'RE LOOKING FOR TECHNICAL - Strong experience in platform, infrastructure, or backend engineering, with significant hands-on experience. - Strong experience with Go and the ability to build production services. - Hands-on experience with Temporal. - Strong understanding of OAuth 2.0, with the ability to implement authentication flows in Go. - Strong hands-on experience with Kubernetes and production workloads. - Strong experience with GCP and cloud infrastructure. - Experience with cloud networking, including: - VPC - Cloud IPsec - KMS - Strong experience with Cloud SQL and PostgreSQL. - Experience with infrastructure-as-code and CI/CD. - Experience building and maintaining observability, monitoring, and alerting for production systems. - Strong experience operating and troubleshooting production systems. LEADERSHIP & OWNERSHIP - Experience as a technical lead or engineering leader, with the ability to provide technical direction and make architectural decisions. - Comfortable remaining hands-on rather than being purely a people manager. - Strong ownership of production systems and technical outcomes. - Comfortable participating in on-call and handling production incidents. - Able to make sound technical and architectural decisions and communicate them clearly. - Comfortable working in a fast-moving environment where you may need to solve problems directly. - Able to mentor engineers and help establish strong engineering practices as the function grows. NICE TO HAVE - Experience working in fintech, banking, payments, or other financial technology environments. - Experience working with systems where security, reliability, and availability are critical. - Experience working in a highly regulated or security-conscious environment.

Location: Azerbaijan; Ukraine About Onedome We're a UK fintech building high-throughput digital infrastructure for the mortgage and property space. Recently acquired Trussle. We're taking our platform to the next level: fully automated, self-healing, observable, and built to handle real traffic spikes (we have a TV launch coming up). The role You'll be our senior platform engineer. Not a traditional ops role. You'll treat infrastructure as a product, build the internal developer platform our engineers deploy through, and bring SRE discipline into the application tier when it's needed. You won't have a platform team to lean on. You'll be building that capability. We know exactly what we need. What you'll do Own 5 AWS accounts across the organisation (QA, Prod, Infra, plus two others) Architect and maintain infrastructure as code with Terraform. Replace the click-ops that's still around Stand up CI/CD pipelines engineers actually want to use. Blue/green and canary where it makes sense Run releases reliably and reduce key-person risk on the deploy process Set up monitoring, alerting, and incident response so we catch issues before customers do. Define SLIs and SLOs that map to real user journeys Lead incident response as the primary infra responder. Run blameless post-mortems Patch and harden the platform. We're a fintech, this matters. IAM least privilege, secrets management, vulnerability scanning, MFA enforcement Lead infrastructure work for the TV launch: traffic spikes, autoscaling, capacity planning, runbooks Partner with backend engineers when production issues cross into the app tier. JVM tuning, connection pools, async patterns, memory leaks Architect multi-region DR. Drive the platform toward self-healing Optimise cost across DynamoDB, Lambda, and the wider AWS footprint Set architectural guardrails with tech leads and SWEs. Mentor engineers as the platform capability grows You must have 6+ years hands-on AWS in production (VPC, IAM, EC2/ECS/EKS, Lambda, S3, CloudFront, Route53, RDS, DynamoDB, SQS) Production Terraform (Terragrunt a plus). Multi-environment state management Production Kubernetes and Docker. EKS specifically Strong CI/CD experience: GitHub Actions, GitLab, Jenkins, or ArgoCD. GitOps practices Strong infrastructure security: IAM least privilege, secrets, patching, vulnerability scanning, MFA enforcement Observability from scratch: CloudWatch, Datadog, Grafana, Prometheus, OpenTelemetry, or ELK Solid backend competency in Java (Spring Boot), Python, or Node. Understanding of JVM, concurrency, async systems Comfort being the senior infrastructure person. Self-directed, opinionated, disciplined about documentation B2/C1 Level English Nice to have Fintech or other regulated industry experience DynamoDB at scale (we run many tables with PITR and S3 exports, Lambda-driven daily incrementals) AWS cost optimisation track record Past experience as a first infrastructure hire at a small team Building internal developer platforms or self-service tooling AWS DevOps Pro, Solutions Architect Pro, or CKA Service mesh experience (Istio, Linkerd) and DevSecOps practices Firebase or GCP exposure (we have a small footprint there) What you won't get from us A platform team to lean on. You'll be building that capability Click-ops everywhere. You'll be replacing what exists with IaC Ambiguity about the work. We know exactly what we need Working setup UK working hours. Fully remote across the EU Tooling: Microsoft 365, Teams, Planner, Nuclino, GitHub aws-vault with MFA enforcement on all accounts Sustainable on-call rotation Salary: $4,000 – $5,000 / month

Задачи: — Реализация и поддержка Terraform/OpenTofu модулей для Azure App Services, Container Apps, Function Apps, Azure SQL, Cosmos DB и Postgres согласно дизайнам Azure Architect — Ежедневная эксплуатация платформы Azure Kubernetes Service (AKS): provision кластеров и node-pool, настройка дополнений (ingress, cert-manager, external-dns, мониторинг, политика), onboarding namespace/tenant — Реализация интеграции идентификационных данных (managed identities, SPN/app registrations) и секретов (Azure Key Vault, OpenBao) для Azure workloads — Создание и поддержка Image Factory pipeline для VM и контейнерных golden images (Linux и Windows, CIS hardening, сканирование образов) — Выполнение Configuration as Code (Ansible) playbooks для VM post-provisioning и передачи golden-image — Поддержка интеграции шаблонов Backstage golden-path для Azure provisioning, тестирование инфраструктуры end-to-end — Поиск и устранение проблем в production Azure automation модулях во время реализации и внедрения — Вклад в тестирование модулей, обнаружение дрейфа и документацию согласно стандартам платформы Infrastructure as Code Engine Требования: — 5+ лет практического опыта построения и эксплуатации Azure инфраструктуры с использованием Terraform/OpenTofu, включая CI/CD (Azure DevOps) — Минимум 1 год релевантного опыта руководства — Опыт эксплуатации Azure Kubernetes Service (AKS) в production, включая сеть, политику и управление namespace — Опыт работы с Azure identity (managed identities, SPN/app registrations) и интеграцией секретов (Key Vault, dynamic secrets) — Опыт Configuration as Code (Ansible) для VM post-provisioning и golden-image pipeline — Знание Azure networking (VNets, private endpoints, NSGs) для интеграции с сетевой инфраструктурой — Совместное владение Terraform (IaC) и Ansible (CaC) с использованием AI-помощника GitHub Copilot — Отличное владение английским языком (B2+) Желательно: — Опыт работы с Azure VMware Solution (AVS) private cloud — Знакомство с инструментами hardening/scanning образов и публикацией в Shared Image Gallery

Задачи: — Разработка кластеризованного on-prem билда ClickHouse под собственную облачную инфраструктуру; — Внедрение, масштабирование, поддержка; — Развитие DB-related инфраструктуры DAP; — Автоматизация, интеграция инструментов ролевых моделей: ClickHouse, SF, PostgreSQL и др.; — Нейминг конвеншн и пользовательские ролевые модели баз данных; — Работа с MPP-стеком: Trino, Greenplum, Vertica, StarRocks. Требования: — Опыт в позициях DevOps / SRE / DataOps от 5 лет; — Опыт написания автоматизации и tooling, предпочтительно на Python и Go; — Опыт production troubleshooting и низкоуровневого тюнинга ОС на базе *nix, преимущественно в облаке; — Глубокое понимание распределённых систем, сетей, хранилищ и производительности; — Глубокое понимание основных концепций, технологий и инструментов кибербезопасности (cybersec/appsec); — Опыт работы с Karpenter; — Опыт оптимизации затрат в AWS (Kubecost, Infracost, AWS теги и др.); — Опыт работы с termination трафиком, ingress и балансировщиками (Traefik, Istio, Nginx + сертификаты); — Опыт с Authentik или аналогами Keycloak/OKTA (управление идентификацией); — Опыт с VPN решениями (Pritunl {OpenVPN, WireGuard}, Fortinet и аналоги); — Желательно глубокое понимание хотя бы одной аналитической базы данных / MPP / распределённого движка запросов: ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, Vertica. Условия: — Рабочее место по выбору: офис в бизнес-центре класса «А» в Белграде (Сербия) или удалённая работа; — Гибкое начало рабочего дня с 9:00 до 11:00, 9-часовой рабочий день с часом на обед; — Частичная компенсация занятий в фитнес-зале и курсов английского, доступ к корпоративной библиотеке и консультации с психологом; — Поддержка при релокации: релокационный пакет в Белград; — Корпоративные мероприятия, выезды на природу, тимбилдинги и мастер-классы; — Качественный профессиональный опыт, развитие навыков и комфортная рабочая атмосфера.

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana и Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana и Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт 2+ года в TechOps/технической поддержке (приветствуется опыт в FinTech/Forex/Crypto) — Отличное владение английским языком (C1+) Условия: — Удалённая работа (предпочтительно в часовом поясе GMT+5 - GMT+8) — Командный язык — английский

Location: Bengaluru, India We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernization and consolidation. The role combines hands-on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure – we need an engineer who treats the platform as a product and product engineering teams as customers: starting from developer friction rather than a preferred tool, building self-service and golden paths, and proving impact with data. The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on-call rota may be required. This position includes a sign-in bonus. You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product: product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed and cost. Design and evolve reliable AWS, Kubernetes, Terraform and CI/CD platform capabilities for engineering teams. Understand developer friction through conversations, feedback and data before choosing a technical solution. Build self-service capabilities, golden paths and guardrails that make the right thing easy for engineers. Measure outcomes (e.g. lead time, deployment frequency, reliability, cost) to prioritize work and confirm improvements. Work with product engineering teams to iterate on solutions and drive platform adoption. Balance standardization and controls with usability, so the platform enables teams rather than adding process. Strengthen observability, resilience, security and incident readiness. Take part in incident response, post-incident reviews and the on-call rota. Strong hands on AWS platform engineering experience in production environments. Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm. Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design. Experience with logging and monitoring, networking and protocols, secrets management, and service discovery. Experience with at least one programming or scripting language. Evidence of designing secure, reliable, and maintainable platform solutions. Experience supporting business critical services, including participation in an on call rota. Experience identifying developer needs and translating them into practical platform improvements. Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams. Ability to use data and metrics to prioritize platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost. Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption. Ability to balance standardization, security, and operational controls with developer usability. Experience with Honeycomb, OpenTelemetry, Prometheus or Splunk, including SLO-driven practices. Experience using platform engineering metrics to measure adoption, developer experience and operational outcomes. Pragmatic use of AI-assisted engineering tools to improve quality and productivity.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role We're looking for an AI Inference Platform Engineer to build, operate , and optimize the systems that serve large language , vision, multimodal, and embedding models across DRW. This role provides DRW's firmwide interface to modern AI models, from early evaluation through reliable production use . You'll work across inference runtimes, distributed systems, and production platform engineering, with deep GPU literacy.  You'll own the serving platform end-to-end: onboarding newly released models, measuring quality and performance equivalence across serving configurations, scheduling workloads across tenants, and continuously improving latency, throughput, utilization, reliability, and cost across the inference fleet. What You'll Do Optimize LLM inference performance across modern NVIDIA GPU architectures and inference runtimes. Build end-to-end performance profiling and observability to identify bottlenecks from individual GPU kernels through multi-node inference systems. Design and optimize KV cache and distributed inference architectures, including caching, routing, memory tiering, and prefill/decode strategies. Own day-0 model onboarding, determining the appropriate runtime, precision, sharding, memory, batching, cache policy, and serving configuration for new models. Maintain validated performance profiles for important model and hardware combinations, including performance and quality regression testing. Measure and monitor quality equivalence across serving configurations, including KV cache quantization, speculative decoding acceptance thresholds, precision choices, and model routing, so in-house serving can be trusted to match reference-model quality on production workloads. Manage the production serving lifecycle of models, including versioning, compatibility, staging, canarying, promotion, rollback, and retirement. Partner with SRE and platform teams to automate model deployment, distribution, production readiness, observability, and reliable operation across environments. Optimize model placement, scaling, and resource allocation across the inference fleet to improve utilization and cost efficiency while meeting performance and reliability requirements. Design and operate multi-tenant scheduling and isolation across shared GPU capacity, balancing latency SLOs, throughput, and priority across concurrent workloads. What We're Looking For The Tech Hands-on experience serving LLMs on NVIDIA GPUs, with familiarity across current and emerging architectures (Hopper, Blackwell, and successors), HBM, Tensor Cores, NVLink / NVSwitch , and the compute and memory bottlenecks that shape serving decisions . Deep expertise in at least one modern inference runtime such as TensorRT-LLM, vLLM, or SGLang. Practical knowledge of inference optimization techniques including continuous batching, scheduling, chunked prefill, speculative decoding, quantization, CUDA Graphs, and paged attention. Understanding of KV cache architecture, including prefix caching, block management, sizing, eviction, quantization, cache-aware routing, and multi-tier caching. Experience measuring model quality equivalence across serving configurations, including evaluation harnesses, task-specific benchmarks, and regression detection for quantization, KV cache, and speculative decoding changes. Experience designing and tuning distributed inference systems, including tensor parallelism, multi-node deployments, and disaggregated prefill and decode. Experience with multi-tenant GPU scheduling, workload isolation, and QoS across concurrent inference workloads. Proficiency with GPU performance and observability tooling such as Nsight, DCGM, OpenTelemetry, Prometheus, and Grafana. Strong Linux and systems performance fundamentals, with the ability to diagnose bottlenecks across hardware, drivers, runtimes, networking, and application layers. Production experience with model serving infrastructure, including CI/CD, automated testing, observability, and production readiness. The Intangibles You take a measurement-driven approach to performance optimization. You take ownership of performance problems across hardware, runtime, model, and infrastructure boundaries. You can move quickly and reprioritize as trading needs change, while maintaining a high bar for production systems. You understand the importance of reliability, predictability, and performance when AI systems are integrated into trading workflows and decision-making processes. You can evaluate unfamiliar models, runtimes, and hardware quickly and make sound engineering decisions with limited prior guidance. You communicate clearly and can explain complex performance tradeoffs across engineering teams. The annual base salary range for this position is $200,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-VD1]

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.