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Location: East Coast - United States Workplace: remote About Zingtree Zingtree is the next-generation intelligent process automation platform reimagining customer experience operations for the world’s top support leaders. With 500+ customers, including Optum, Corpay, Sony, SharkNinja, and Allianz, we transform self-service, surface automation opportunities, and turn every agent into an expert. The Role We’re hiring a Senior DevOps / Platform Reliability Engineer to own the platform that powers our agentic CX product. You’ll build the CI/CD, infrastructure, and observability backbone that enables us to ship multi-agent systems safely to enterprise customers. If you want to operate a production AI platform and use AI to help operate it, this role is for you. In this role, you will collaborate with development, operations, and infrastructure teams to automate and streamline processes, build and maintain tools for deployment, monitoring, and operations, and troubleshoot issues across development and production environments. What You'll Do Own and evolve CI/CD pipelines using GitHub Actions and OIDC-based authentication for microservices and agentic workloads, with safe, fast, and reversible deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. Operate and scale our Kubernetes platform (EKS + Argo CD), including autoscaling, ingress, external-dns, cert-manager, External Secrets Operator, backups, runtime guardrails, and multi-tenant isolation for enterprise customers. Manage the edge and network perimeter, including Cloudflare (CDN, WAF, Bot Management, DDoS protection, Zero Trust / Access), CloudFront, API Gateway, ALB/NLB, Route 53, and network security controls. Operate the data and event tier, including Aurora MySQL, ElastiCache/Redis, S3, and MSK (Kafka), with responsibility for backups, point-in-time recovery (PITR), and multi-AZ disaster recovery aligned to defined RTO/RPO objectives. Build and maintain Lambda workloads where event-driven or serverless architectures are the right fit. Build observability as a product using Prometheus, Grafana, and OpenTelemetry, including telemetry for LLM and agentic systems such as token cost, tool-call latency, evaluation signals, and prompt/version tracking. Strengthen our security and compliance posture for SOC 2 and HIPAA, including least-privilege IAM, SCPs, secrets management, SAST/DAST, dependency and container scanning, image signing, AWS Config, Security Hub, GuardDuty, Inspector, and evidence automation. Drive FinOps initiatives, including tagging standards, Savings Plans and Reserved Instances, per-tenant and per-workload cost attribution, and LLM cost controls. Build and evolve our AI-native DevOps capabilities (see section below). Partner with engineering teams to define platform standards, service templates, deployment best practices, and operational SLOs. Monitor system performance and ensure reliability, scalability, and security across infrastructure and services. Collaborate with software engineering teams to support continuous integration and continuous delivery best practices. Document infrastructure, deployment processes, and operational standards to support knowledge sharing across the team. Agentic AI in DevOps You’ll help define how Zingtree uses agentic AI to operate and improve our platform using modern AI operational practices. Responsibilities include: Design and operate auto-remediation agents for common production toil such as certificate rotation, noisy pods, infrastructure drift, and flaky CI pipelines, with human-in-the-loop (HITL) controls for any destructive or customer-impacting actions. Use LLMs for incident triage and root cause analysis, including log and trace summarization, signal correlation, and first-draft postmortems that are always reviewed by humans. Connect AI agents to internal systems through the Model Context Protocol (MCP), including GitHub, Jira, PagerDuty, AWS, Kubernetes, Terraform, and related platforms, using scoped credentials, audit logging, and allow-listed access. Apply AI-driven observability techniques, including anomaly detection on metrics, LLM-based log clustering, and alert deduplication and summarization on top of Prometheus and OpenTelemetry. Establish operational guardrails such as prompt/version pinning, evaluation frameworks for agent behavior, cost and rate-limit controls, policy-as-code (OPA/Conftest) for AI-generated infrastructure changes, and clearly defined blast-radius controls. Define best practices for AI coding assistants such as GitHub Copilot, Claude, and Amazon Q in infrastructure repositories, including review workflows, prompt design, and restrictions on auto-merged changes. Treat AI components as production systems with SLOs, observability, on-call readiness, runbooks, and rollback strategies for agents and prompts. About You Required Qualifications 5+ years of experience in DevOps, SRE, or Platform Engineering operating production systems on AWS. Strong experience with CI/CD pipelines and tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI. Hands-on experience operating production EKS environments, including autoscaling, ingress, secrets management, and cluster upgrades. Strong AWS networking experience, including multi-account VPC design, subnets, routing, security groups, NACLs, Route 53, ACM, and load balancers. Deep experience with Terraform and GitHub Actions, ideally using OIDC-based cloud authentication. Experience with Aurora/RDS MySQL, Redis (ElastiCache), and S3, including backups, PITR, migrations, and lifecycle management. Strong observability experience using Prometheus, Grafana, and OpenTelemetry. Experience operating Argo CD at scale. Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible. Experience managing Cloudflare services including WAF, Bot Management, Rate Limiting, and Zero Trust / Access, along with CloudFront. Experience operating Kafka/MSK at scale, including topics, consumer groups, and schema registries. Experience with Lambda and event-driven architectures. Comfortable working with Python, Bash, and Linux systems. Strong understanding of security best practices across IAM, KMS, secrets management, networking, and software supply chain security. Familiarity with vulnerability scanning and compliance tooling. Nice to Have Experience operating LLM or ML workloads in production, including LiteLLM, Bedrock, pgvector, prompt caching, or evaluation systems. Experience building or integrating MCP servers or deploying agent frameworks such as LangGraph or CrewAI in production environments. How We Work We bias toward automation over toil. If you do it twice, script it. If it pages twice, fix it. We’re a small team with high ownership. You’ll help define standards, not just follow them. Humans stay in the loop for anything risky. AI accelerates decision-making but does not replace judgment. We value blameless incident reviews, documented decisions, and fast feedback loops. What We Offer Competitive compensation packages Comprehensive health benefits: 100% of employee premiums covered 75%–80% of dependent premiums covered for most health, dental, and vision plans 401(k) plans to support retirement planning (no employer matching currently) Paid parental leave Unlimited PTO Flexible remote work from anywhere Up to $200/month co-working reimbursement Home office stipend: Up to $500 for home office setup $100/month for internet, phone, and related expenses Zingtree Values Lead with Action We are doers. We move quickly with purpose, take smart risks, learn fast, and focus on outcomes that benefit our customers and the business. People Really Matter We win as a team. We care deeply about our customers and employees, helping each other achieve professional growth and meaningful impact. Ownership Leads to Results When we commit, we deliver. We operate with integrity, accountability, and high standards. Expertise Creates Value We are learners. We continuously grow our knowledge, share expertise, and apply it to create meaningful results. Transparency Builds Trust We communicate openly, honestly, and respectfully. We share information that matters and build trusted relationships through clarity and empathy.

Задачи: — Создание и поддержка пайплайнов сборки и деплоя (GitHub Actions). — Управление контейнерами (Docker, Nomad/K8s, Podman). — Поддержка, ремонт и масштабирование систем с фокусом на безопасность. — Настройка мониторинга (Prometheus, Grafana, ELK) и Alertmanager. — Участие в проектировании архитектуры и внедрение IaC-подходов. Требования: — От 3 лет коммерческого опыта в DevOps. — Владение Docker, Nomad/K8s, Consul, Traefik, Vault. — Уверенное владение Ansible и скриптингом (Bash, Python). — Опыт работы с MySQL и понимание twelve-factor app. — Навыки создания дашбордов в Grafana. Условия: — Работа в продукте с более чем 10 миллионами пользователей. — 28 дней отпуска + 7 дополнительных Day-off в году. — 100% оплата больничных и компенсация обучения/литературы. — Гибкий старт дня (10:00–11:00). — Комфортный офис в центре Санкт-Петербурга (м. Площадь Восстания).

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. The UP-Trade Operations team builds software that enables DRW's trading operations teams to manage our growing DeFi footprint. A big part of what makes this work interesting is figuring out where DeFi instruments map to traditional financial concepts, where they extend them, and where they are something entirely new. We need engineers who can reason about these protocols financially, not just technically, and build reliable systems around them at institutional scale. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures. Problems You'll Work On: Ingesting and normalizing data across multiple chains (Ethereum, Solana, and L2 rollups like Arbitrum) and custody platforms Integrating with DeFi protocols -- AMMs, lending platforms, options vaults, staking providers -- to query on-chain state and track positions Building services that bridge on-chain activity to off-chain reporting: token balances, transfers, margin positions, settlement, and fees across different ERC standards Developing APIs and UIs that give traders and operations teams real-time visibility into DeFi positions and risk Modeling DeFi instruments (liquidity pools, lending markets, perpetuals, yield products) alongside their traditional finance equivalents for unified reporting and risk Responsibilities: Building systems with a constant focus on testing, reliability, scalability, and maintainability Designing, modeling, and programming in a variety of languages and technologies Working on legacy code as well as greenfield development Taking initiative and driving projects to completion Learning and promoting new technologies with a focus on best practices Providing on-call support as needed Sometimes working alongside other developers on the same task Professional Experience: We expect strong engineering fundamentals, but what truly sets candidates apart is hands-on experience navigating the DeFi landscape. DeFi & Blockchain: Hands-on experience with EVM internals, smart contract ABIs, and libraries like ethers.js or web3.js Familiarity with DeFi protocols: AMMs (Uniswap), lending (Compound), options/structured products, or staking Understanding of multi-chain architectures -- L1s, L2 rollups, bridging, and cross-chain data challenges Exposure to Solana or other non-EVM chains is a plus Experience with oracle systems (Chainlink) or on-chain pricing Ability to reason about DeFi protocols from a financial perspective, e.g. how different AMM designs affect pricing, how lending rates compare across protocols, or what distinguishes different stablecoin mechanisms Engineering & Stack: Multiple years of server-side development Willingness to learn Clojure, one of the team's primary languages Confident JVM knowledge Working knowledge of Node.js/TypeScript A solid understanding of micro-service architectures Proficiency in domain-driven design and domain modeling A good understanding of functional paradigms and type theory Infrastructure & Tools: Kubernetes, Docker, ArgoCD PostgreSQL, Oracle, SQS, RabbitMQ Linux, Ansible, Nginx, Git The annual base salary range for this position is $130,000 to $225,000 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-GV1

Location: Global Workplace: Remote Job description Our core mission at Railway is to make software engineers higher leverage. We believe that people should be given powerful tools so that they can spend less time setting up to do, and more time doing. Many infrastructure platforms simply focus on how you deploy your singular application, and now how these applications function in concert. Questions like “How do you build systems for zero downtime deployment”, “How do you do service-to-service communications”, etc are usually left up to the engineers to define. At Railway, our goal is to be an all encompassing solution to all these problems. As such, we take special care as we define our networking infrastructure. Note: Networking falls under the platform engineering umbrella. If you’re specialized, we’d love to chat! That said, we’d also like it noted you’re probably going to do a lot of non-networking + platform things “But the world would be a better place if more engineers, like me, hated technology. The stuff I design, if I'm successful, nobody will ever notice. Things will just work, and will be self-managing” - Radia Perlman   ABOUT THE ROLE For this role, you will: 1. Build ingestion pipelines to consume 1M+ RPS streams of logs, metrics, and other telemetry 2. Build scalable, fault tolerant alerting engines for notifying users, in real-time, of threshold breaches 3. Craft rich backend observability APIs, working with product to build amazing experiences for instantly grokking their application 4. Provide APIs to access realtime log/metrics streams to be consumed by the Dashboard and Product Teams 5. Build Golang/Rust GRPC services from scratch capable of supporting tens of thousands of users, and the million+ to come. 6. Define infrastructure that can be torn down, failed over, and reconstituted from scratch using principle of immutable infrastructure using Terraform and Ansible. 7. Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring it’s success. 8. Interface with our TypeScript and GraphQL edge to expose your microservice APIs for both internal and potentially external consumption This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU - A strong understanding of distributed systems. You enjoy building fault tolerant, resilient, and scalable services - Interests in VictoriaMetrics, ClickHouse, and other systems for building observability stacks from the ground up - A solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18mo. - The tact to implement your solution, creator monitors for it’s error boundaries, and document any requirements for when you’re not around - A great sense of direction and prioritization when it comes to dealing with the ambiguity of an early stage startup - A sense of grit to dive into a problem, implement a solution, scale that solution, and replace it when needed - A great set of communication skills for getting your point across, solution implemented, and beyond We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.app/careers/full-stack. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process: 1. Talk with us about the role - This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2. Work on a small project to discuss in the interview - Asynchronously implement the following: 1. Imagine a theoretical or actual system like Railway which can manage stateless and stateful compute workloads. Design the engine for managing observability 2. Interview Structure (60 Minutes): 3. Pre-work (before your interview): Complete your solution (advised) 4. 0-5m: introduction 5. 5-50m: Building (or expanding) your solution 6. 50-60m: Questions on Railway/Tech/etc. You can, and SHOULD! ask us questions ahead of time. Ask away! 3. Review your solution with the Team You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 1. Interview Structure (60 Minutes): 1. Prework (submitted before your interview): Complete your solution 2. 0-5m: introduction 3. 5-50m: Building (or expanding) your solution 4. 50-60m: Questions on Railway/Tech/etc 4. Meet the Team 1. You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. 1. Looking for: How you work with the rest of the team and communicate. 5. Offer and Details Chat with CEO 1. Finally, we will go over the process, the role, and hammer out the details about your position, onboarding, and all the deets. Final Note: The interview goes both ways. Once again, please ask us things. Many things! Hard things. That's what we're here for.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role We are looking for a Technical Project Manager to drive the programs that turn manual hardware operations into automated, scalable workflows. You will own the delivery of automation initiatives across the full hardware lifecycle — from automated server provisioning and firmware update orchestration through intelligent fault detection, self-healing remediation, and data-centre-scale operational tooling — coordinating engineers, operations teams, and infrastructure stakeholders to ship systems that meaningfully reduce human toil at fleet scale. The responsibilities Initiating and driving cross-team projects with clear goals and timelines Aligning conflicting priorities and stakeholder needs, including C-level Facilitating technical and procedural decision-making Establishing and scaling repeatable processes Collaborating closely with engineering, infrastructure, and business teams The profile : Engineering Manager wanting to move from vertical to horizontal impact, from team to org level, designing and carrying a unified roadmap and strategy across multiple engineering teams. In this case, we are talking about 6 teams for more than 30 engineers. Technical Project/Program Manager with an Engineering Management background. Strong operational risk awareness: track record of structuring staged rollouts, defining rollback criteria, and insisting on safety gates before automation runs unsupervised on production infrastructure. Experience coordinating across engineering and operations stakeholders with different risk tolerances — bridging teams that move fast and teams that prioritise stability without letting that tension stall delivery. Preferred / Nice to Have Experience with specific hardware automation domains: zero-touch provisioning, firmware orchestration, automated hardware testing frameworks, or self-healing remediation systems. Familiarity with infrastructure-as-code and configuration management tooling (Terraform, Ansible, Kubernetes) from a delivery and rollout management perspective. Exposure to data centre operations — rack and stack, cabling, power and cooling management — sufficient to understand what automation means to a technician on the floor. Experience with site reliability engineering (SRE) practices: toil measurement, error budgets, and the discipline of treating operational automation as a first-class engineering investment. Knowledge of observability platforms (Prometheus, Grafana, Datadog, or equivalent) used to monitor automation system health and measure operational outcomes. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol Cyprus Workplace: OnSite Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow. Our game project has a code base of ~300k SLOC and consists of multiple services running in several hundred instances. The game services are a sharded system for horizontal scaling. Our team is looking for both Middle and Senior specialists with confident knowledge of C++ and design principles to work on creating new game features for a large-scale multiplayer project with long-term gameplay. Our team's objective and the challenge they face is to create an outstanding technical design that ensures quality, flexibility, and simplicity in the development of in-game features. Tasks: - Design and implement solutions for new game mechanics — based on documentation from game designers, create a technical design and implement it. - Prepare RFC documents describing your approach and discuss them with the team before implementation. - Deliver your solution to production and ensure it runs smoothly by monitoring its behavior after deployment. - Refactor and optimize existing functionality to improve performance, maintainability, and scalability. - Perform code reviews for other team members and follow team coding guidelines and best practices. - Create functional prototypes to validate ideas and mechanics when necessary. - Write and maintain technical documentation for implemented features and decisions. - Participate in team meetings and discussions to stay aligned on priorities and progress. Requirements: - Strong communication skills and initiative. - 3+ years of experience developing in C++ in a product-oriented company - At least 2 years of backend development experience (not necessarily in C++) - Solid knowledge of software design principles and ability to apply them in practice. - Ability to analyze and decompose complex tasks into smaller, manageable steps. - Practical experience with network and multithreaded programming - Practical experience with relational databases - Proficiency in Linux environments for development and debugging. - Knowledge or willingness to learn Python for developing tools and automation. The following would also be to your advantage: - Having samples of code that you can show us. - Knowledge of other high-level programming languages (for general awareness). - Practical experience applying Domain-Driven Design in real-world projects - Hands-on experience building applications using Akka.NET http://Akka.NET, Microsoft Orleans, or similar actor-based frameworks We use: - C++20, Clang, and CMake. - Boost — only for the library, not for game code. - PostgreSQL. - GitLab, TeamCity, Ansible. - SonarQube, Clang-Tidy, Clang-Format. - Onboarding, coding conventions. - Python for utilities. - Linux. Our technical developments: - A library/framework of ready-made solutions for creating game features. - ORM — allows us not to have to write code for saving to the DB. - A code generator for a binary RPC protocol and ORM. - A pub/sub event system for game clients. - Telemetry that allows for real-time product status tracking (through Grafana). - An expression interpreter for flexibility in game configuration. - HotReload environment, with everyday game updates. - Sync and Async network designs. - Internal Event System. - Internal persistent and transactional message system. - R-tree based world map. What we offer and our benefits: - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 strategy MMO game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment. We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams. If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you. Your Challenges & Responsibilities: DBaaS Architecture: Design and implement a self-service platform based on Terraform and Ansible , enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product. Scaling ClickHouse: Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load. Data Platform & Analytics Support: Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team. Reliability as Code: Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases. Stack Modernization: Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads. Expertise & Mentorship: Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems. Our Tech Stack: Databases : PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka Data & Analytics: Apache Airflow, Redash (Infrastructure & Integration). Infrastructure: Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud. Automation & IaC: Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit. Observability : VictoriaMetrics, Grafana, Loki. Why CloudLinux? Culture: A Remote-first company with an "Employees First" principle. We value results, not hours in the office. Impact: Your architectural decisions will determine the stability of services used by thousands of companies around the world. Growth: We support professional development and pay for training and conferences. Requirements What We Expect From You: AI-Augmented Engineering: You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges. Deep PostgreSQL Expertise (5+ years): You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load. ClickHouse Mastery: Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level. Engineering Mindset (SRE/DevOps): You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in Python or Go for automation are a huge plus. Hybrid Environment Experience: You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage). Systems Approach: You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery. English: upper-intermediate or higher - to ensure clear communication of progress within the teams Nice to Have: Experience building an Internal Developer Platform (IDP). Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator). Experience working in Cloud and Hosting providers on similar services. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Germany, Berlin 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 As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. 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. What you'll be doing: 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 What we're looking for: 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) 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.

Location: Germany, Berlin 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. Senior Service Reliability Engineer As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. 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 operational readiness and stability. What you'll be doing: Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improvement Influence the architecture and implementation of solutions within the division Mentor more junior SRE staff and enable them for success Act as a voice to represent SRE in the wider organisation Represent the operational scalability of solutions in the wider division Lead small-scale projects from inception to implementation Design platform-wide solutions and provide technical leadership during their implementation Demonstrate a high-level of organizational skills and initiative in the role What we're looking for: Minimum of 7+ 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) Software performance analysis and load testing (QA or SDET experience: a plus) 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.

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK. Your new role As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.  Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training. How you’ll make an impact Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes. Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development. Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions. Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism. Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards. Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives. Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities. Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies. Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices. Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks. Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices. Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies. Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols. Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents. Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions. Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools. What will set you up for success Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience). 5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations. Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards. Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting. Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring. Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security. Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs. Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation. Proficiency in AWS security best practices. Skills in automation, development, or scripting for enhanced security operations. Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls. Proficiency in email security protocols like SPF, DKIM, and DMARC. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com   Applicant Privacy Notice (United Kingdom)

О ПРОЕКТЕ Ocean AI развивает сложные высоконагруженные продукты, интегрирующие блокчейн-технологии и искусственный интеллект. Мы ищем инженера для построения надежной платформенной основы, способной выдерживать специфические нагрузки Web3-нод и AI-моделей. ОСНОВНЫЕ ЗАДАЧИ — Развитие и оптимизация облачной инфраструктуры на базе Kubernetes. — Проектирование и поддержка полных циклов CI/CD (от сборки до автоматических откатов). — Обеспечение высокой доступности (HA), масштабирования и глубокой observability систем. — Сопровождение специфической инфраструктуры: Web3 (ноды, RPC, индексеры) и AI (LLM, RAG). — Внедрение и контроль стандартов безопасности (Secrets management, SAST/DAST). ТРЕБОВАНИЯ К КАНДИДАТУ — 6+ лет опыта в эксплуатации высоконагруженных систем. — Глубокие знания Kubernetes, Helm и IaC (Terraform / Ansible). — Опыт работы с современным CI/CD стеком (GitLab, GitHub Actions, ArgoCD). — Владение инструментами Observability (Prometheus, Grafana, логирование и трассировка). — Опыт администрирования PostgreSQL, Redis, Kafka и работы с облаками (AWS/GCP/Azure). — Понимание сетевых протоколов (TCP/IP, DNS, TLS) и системного администрирования Linux. ОБЯЗАТЕЛЬНЫЙ СПЕЦИФИЧЕСКИЙ ОПЫТ — Web3: практическая работа с нодами, ключами и on/off-chain синхронизацией. — AI: опыт вывода LLM/RAG в продакшен, оптимизация latency и стоимости ресурсов. — Security: обеспечение безопасности цепочек поставок и управления секретами. УСЛОВИЯ РАБОТЫ — Полностью удаленный формат из любой точки мира. — Гибкий подход к юридическому оформлению сотрудничества. — Прямое влияние на архитектуру платформы в динамично растущей компании.

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency : Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design : Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering : Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency : Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth : Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design : Experience designing clean, well-documented REST/gRPC APIs Incident response mindset : Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness : Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery : Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing : Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices : Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility : Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management : Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming : Experience with Kafka, Redis, or similar event-driven architectures Data orchestration : Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness : Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). Collaborate with Scrum teams, platform, and security departments to design, build, and maintain CI CD pipelines supporting continuous delivery Guide and support development teams in adopting cloud native, container based, and DevOps best practices across multiple projects Build, operate, and optimize secure Azure based infrastructure supporting production workloads Manage and support Kubernetes based platforms, ensuring stability, scalability, and governance Ensure effective monitoring, alerting, and overall system health across production environments Support secure delivery of publicly facing web and mobile applications through automated pipelines Contribute to proof of concepts and continuous improvements by exploring new technologies and approaches Act as a proactive team member working across multiple teams and stakeholders with clear and effective communication Strong experience designing, operating, and supporting cloud infrastructure on Microsoft Azure Hands on experience with CI CD tools such as Azure DevOps, GitHub Actions, or GitLab CI Experience with container technologies including Docker, container registries, and Kubernetes orchestration platforms Experience using Helm for Kubernetes application deployment Experience deploying secure web and mobile applications through automated delivery pipelines Basic programming or scripting experience with Python, Go, Bash, and Git Experience with Infrastructure as Code tools such as Terraform, Bicep, Pulumi, Ansible, or CloudFormation Experience with package and dependency management tools such as npm, Maven, Gradle, or Swift Package Manager Experience supporting internal development and DevOps platforms such as repository managers, Kubernetes management tools, and security or quality scanning solutions Strong written and spoken English communication skills Experience with mobile SDLC and mobile application distribution consoles Experience with security and code quality scanning tools such as Nexus, JFrog, Aqua Security, SonarQube, or similar platforms Experience with Kubernetes cluster management platforms such as Rancher Experience supporting AI enabled workloads or platforms Experience working in regulated or high availability environments

О ПРОЕКТЕ Chrona agency ищет эксперта в инфраструктурную Web3-платформу, обслуживающую десятки тысяч блокчейн-нод в 120+ сетях (Ethereum, Solana, Cosmos и др.). Мы обеспечиваем 99.99% uptime для валидаторов и RPC-узлов, используя non-custodial модель. ОСНОВНЫЕ ЗАДАЧИ — Развертывание и эксплуатация блокчейн-нод различных типов (Validator, Archive, RPC). — Обеспечение отказоустойчивости и минимального latency в геораспределенной инфраструктуре. — Настройка мониторинга, алертинга и систем глубокой аналитики производительности. — Автоматизация процессов обновления сетей и деплоя инфраструктурных компонентов. — Работа с сетевой архитектурой (L2/L3) и оптимизация ресурсов кластеров. — Применение SRE-практик для контроля SLA/SLO и планирования мощностей. ТРЕБОВАНИЯ К КАНДИДАТУ — Глубокий коммерческий опыт эксплуатации блокчейн-инфраструктуры. — Экспертные знания Kubernetes в production-средах. — Опыт работы с Terraform, Ansible и инструментами CI/CD (GitLab / GitHub). — Уверенное владение стеком мониторинга: Prometheus, Grafana, Alertmanager. — Глубокое знание Linux (Debian / Ubuntu) на системном уровне. БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт работы с высоконагруженными RPC-сервисами. — Понимание архитектур Proof-of-Stake (PoS) и механизмов консенсуса. — Навыки построения отказоустойчивых кластеров в распределенной среде. УСЛОВИЯ РАБОТЫ — Полностью удаленный формат и отсутствие бюрократии. — Выплаты в USDT согласно рыночной вилке. — Возможность прямого влияния на архитектуру и масштабирование платформы. — Работа в сильной инженерной команде с фокусом на результат.

О РОЛИ Ищем опытного инженера для работы в DataDev. Основной фокус — поддержка и развитие инфраструктуры, автоматизация CI/CD пайплайнов и эксплуатация сложных MPP-систем. Нам важен глубокий опыт администрирования баз данных и понимание сетевых моделей Kubernetes. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Automation: Разработка скриптов и средств мониторинга на Python/Golang, автоматизация рутинных процессов. — CI/CD: Разработка и поддержка пайплайнов, подготовка deployment-приложений для кластеров. — Infrastructure: Настройка, мониторинг и оптимизация MPP-систем (GreenplumDB/ArenadataDB). — Incident Management: Решение типовых задач и обработка инцидентов совместно с архитекторами. — Knowledge Base: Наполнение базы знаний и документирование технических решений. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: 5+ лет в DevOps/System Administration (Linux). — Kubernetes: Понимание сетевых (CNI, Ingress, Istio) и сторадж-моделей (CSI). — Stack: Уверенная работа с Ansible, Docker, Git и брокерами сообщений (Kafka, Rabbit, Redis). — Database Expert: Опыт эксплуатации Greenplum/ArenadataDB (backup/restore, gpupgrade, мониторинг). — Networking: Твердое понимание TCP/IP, UDP, NAT, DNS и HTTP. — Clouds: Опыт работы с VK Cloud, YandexCloud, OpenStack или AWS. ЧТО МЫ ПРЕДЛАГАЕМ — Полностью удаленный формат работы. — Масштабные задачи на стыке Big Data и системной инженерии. — Работа в команде экспертов с прозрачными процессами.

Location: Remote - Global fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better. WHAT YOU'LL DO: - Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads - Build and maintain CI/CD pipelines and deployment infrastructure - Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability - Build dashboards, alerting, and anomaly detection across our systems - Define and enforce SLOs and build out incident response processes - Manage and improve our networking, load balancing, and service mesh configurations - Drive reliability improvements across the stack through automation, runbooks, and chaos engineering QUALIFICATIONS/NICE TO HAVE: - 5+ years experience in managing critical production systems and software development workflows - Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible) - Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS - Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD) - Proficiency in Python and either Go or Bash for tooling and automation - Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog) - Excellent communication and ability to drive technical decisions across teams - Self-starter who executes quickly, takes ownership, and constantly seeks improvement - Experience with managing GPU and AI/ML workloads - Experience with kernel-based monitoring and routing (eBPF, XDP) - Experience with security tooling (Falco, Coroot, SIEM) - Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB) - Experience with distributed storage systems (Ceph, Longhorn, etc.) WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.