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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

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]

Задачи: — Прямая работа с CTO: архитектурные и операционные задачи инфраструктуры — Поддержка и развитие кластеров Kubernetes: ArgoCD, Helm, GitLab CI/CD — Код на Go: внутренние утилиты и CLI, экспортеры метрик, операторы и хелперы для платформы, правки в сервисах монорепозитория — Инфраструктура как код — OpenTofu, Ansible — Сетевой контур: маршрутизация, VPN, DNS, TLS, ingress, firewall, сегментация — Docker / docker compose — локальные и staging-окружения разработчиков — Первая линия реакции на инциденты: разбор алертов, эскалация, постмортемы — Базовое администрирование сервисов — доступы, почта, админки Требования: — Kubernetes в проде — не «поднял minikube», а дежурил и чинил — GitLab CI/CD, ArgoCD, понимание GitOps-подхода — Сети — TCP/IP, DNS, NAT, VPN, TLS; умение читать tcpdump и не паниковать — Docker, docker compose — Ansible, OpenTofu (или Terraform) — Linux на уровне уверенного администрирования — Grafana и алертинг — дашборды, метрики и логи, настройка правил алертов, работа с Prometheus / Loki / Alloy — Сбор метрик с сервисов в Kubernetes — экспортеры и sidecar'ы, ServiceMonitor / scrape-конфиги, обвязка приложений метриками, RED/USE-подход к дашбордам — Kafka и NATS — не только «настроить», но и понимать семантику доставки, консьюмер-группы, отставание — Опыт highload и финтеха — платёжные интеграции, деньги, требования к надёжности — Готовность подключаться к инцидентам вне стандартных часов — Английский — документация и переписка Будет плюсом: — Go — умение писать и поддерживать код, а не только читать: утилиты, экспортеры, правки в сервисах — Опыт в iGaming

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities You own the Microsoft Power Platform at TeamViewer: administration, operations and development. You run and further develop our Power Platform and Copilot Studio landscape, build pipelines and automation, manage connectors including custom connectors, and support our AI Advocates in turning ideas into working, compliant solutions. Administer and operate the Power Platform: environments, Managed Environments, Dataverse, capacity, licensing, DLP policies and tenant settings Run and develop Copilot Studio: agent design, topics, actions, knowledge sources, channels, testing, monitoring and lifecycle Build and maintain Power Platform pipelines, ALM and release processes for solutions across development, test and production environments Manage connectors end to end, including building, securing and maintaining custom connectors and their authentication Develop and automate solutions with Power Automate, Power Apps and Dataverse, including admin automation and governance reporting Coach and support AI Advocates and citizen developers in creating, reviewing and deploying Copilot Studio solutions Monitor platform health, usage, adoption and cost; troubleshoot incidents and handle service requests as second and third level support Keep governance standards, security controls and documentation current and practical Requirements Several years of hands-on experience administering and developing the Microsoft Power Platform in an enterprise environment Proven experience building and operating Copilot Studio agents in production Practical experience with Power Platform pipelines and ALM, including solution management and deployments Solid experience with connector management, including creating and maintaining custom connectors and their authentication Strong development skills in Power Automate, Power Apps and Dataverse Working knowledge of Power Platform governance: environment strategy, DLP, security roles and licensing Very good communication skills in English; able to explain technical topics to non-technical colleagues and to enable and support a community of business users Structured, analytical troubleshooting and the ability to work independently across global teams Nice to have Microsoft certification PL-600, PL-400 or PL-200 Scripting and API experience, for example PowerShell, Power Platform CLI, Azure DevOps or GitHub, Microsoft Graph Familiarity with Microsoft 365 Copilot administration and Responsible AI practices Bachelor's degree in Information Technology, Business Informatics, Computer Science or a comparable qualification TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Provision AWS infrastructure with Terraform and configure Linux hosts in AWS and the external data center with Ansible, so every environment can be rebuilt from code. Build and run a Kubernetes cluster for shared platform services (observability, Keycloak, HashiCorp Vault, web applications), delivered through GitOps with Argo CD and Helm. Build and maintain GitLab CI pipelines for infrastructure and platform services. Integrate corporate SSO through Microsoft Entra ID and keep user and group IDs consistent across all sites and compute pools. Set up monitoring and alerting across compute pools and platform services with Prometheus and Grafana. Implement encryption, key management, least-privilege access and audit logging, and support the client's security review. What we expect : 5+ years of experience in DevOps, Platform, or Cloud Engineering, including ownership of production environments. Strong hands-on experience with AWS (VPC, IAM, EKS, EC2, S3, KMS) and Terraform. Strong Linux administration skills and Ansible experience. Production experience with Kubernetes, Helm, and Argo CD. Experience building CI/CD pipelines with GitLab CI or GitHub Actions. Experience with Prometheus and Grafana. Experience with SSO integration (OIDC/SAML) using Keycloak and Microsoft Entra ID. Experience with HashiCorp Vault for secrets management. Solid networking knowledge: routing, DNS, firewalls, site-to-site IPSec VPN and hybrid cloud connectivity. Python and Bash scripting for automation. Ability to work independently and communicate directly with client IT, network and security teams. Nice to have : Experience with HPC environments: Slurm, AWS ParallelCluster, Open OnDemand. Experience with Argo Workflows. Experience with hybrid storage and data transfer: NetApp ONTAP, AWS DataSync, rclone. Experience in pharma, life sciences, or other regulated industries. AWS certifications. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: Ireland, Dublin 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. Kubernetes Platform Engineer (Controllers) Sony Interactive Entertainment At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer who enjoys building Kubernetes-native systems and automation that operate reliably at global scale. If you're passionate about software engineering, Kubernetes, and solving challenging distributed systems problems, we'd love to hear from you. Come help us deliver a unique gaming experience to millions of players around the world. Responsibilities Design and develop Kubernetes controllers and operators that automate the lifecycle of platform services. Contribute to the development of our global workload placement system, enabling intelligent scheduling across Kubernetes clusters running in both public cloud and on-premises data centers. Develop Kubernetes APIs and Custom Resource Definitions (CRDs) that provide clean, maintainable interfaces for platform capabilities. Build and maintain reconciliation logic that safely manages distributed system state. Develop controllers and operators that automate provisioning, configuration, upgrades, and lifecycle management of Kubernetes-based platform components deployed across hybrid cloud environments. Work closely with platform and service teams to build automation that simplifies operating large-scale distributed systems. Improve the reliability, scalability, observability, and maintainability of the platform through thoughtful engineering and continuous improvement. Investigate production issues and participate in root cause analysis to improve platform reliability. Requirements Solid understanding of Kubernetes architecture, lifecycle and core concepts, including workloads running across cloud and on-premises environments. Experience developing software in Go or another modern programming language, with an interest in Go development. Experience building software for Linux-based environments. Experience with Kubernetes development, including controllers, operators, or Kubernetes APIs. 3+ years of professional software engineering experience. Strong problem-solving skills and a desire to learn new technologies. Skills & Knowledge Understanding of Kubernetes reconciliation patterns and declarative system design; especially understanding the principals of Communicating Sequential Processes (CSP). Experience using Kubernetes in production environments. Familiarity with controller-runtime, Kubebuilder, Custom Resource Definitions (CRDs), Common Expression Language (CEL) rules, or Kubernetes API extension mechanisms. Experience building or operating distributed systems spanning public cloud and on-premises infrastructure. Familiarity with Infrastructure as Code (IaC) and GitOps workflows. Experience working with bare metal infrastructure, hybrid cloud environments, or multi-cluster Kubernetes deployments is highly desirable. Experience with Cluster API (CAPI), SIG Multicluster, Karmada, or other Kubernetes ecosystem projects is a plus. Additional Attributes Strong communication and collaboration skills. Comfortable working as part of a distributed engineering team across multiple time zones. Takes ownership of assigned work and follows through to completion. Curious, pragmatic, and eager to learn from teammates while sharing knowledge with others. Enjoys solving the unique engineering challenges of operating software across globally distributed cloud and on-premises infrastructure. Passionate about building reliable systems and improving the user experience. Contributions to open source projects, particularly within the Kubernetes or CNCF ecosystem, are a plus. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, gender identity, marital status, genetic information or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to apply. We sincerely appreciate the time and effort you spent in contacting us, and we thank you for your interest in PlayStation. 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.

Требования: — 5+ лет опыта — опыт с высоконагруженными системами — опыт с Rust — опыт с Tokio — опыт с Linux Позиция в топовую проприетарную трейдинговую компанию Формат работы: удалённо.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control. Responsibilities Pillar 1 Deployment and Delivery Own build, CI/CD and release for the platform across cloud and on-premise targets. Build and maintain installers and update paths that work in restricted and offline environments. Manage database migration and rollback paths for customer installations. Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site. Pillar 2 Infrastructure Run the Kubernetes and GitOps side of the platform. Own secrets management, access control and infrastructure-as-code. Implement monitoring and log aggregation across internal and customer environments. Integrate with Constructor's platform, identity and deployment tooling. Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code. Pillar 3 Security and Governance Introduce static analysis and dependency and licence scanning into the pipeline. Own backup, recovery and continuity for the platform. Support audit and compliance requirements from funded research and customer contracts. Accountability: no single undocumented dependency on one person, including yourself. Requirements Experience Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale. Real experience of on-premise and offline deployment, not only cloud. CI/CD pipeline ownership end to end Skills & Competencies Autonomous and proactive. You have carried infrastructure alone. Willing to hand knowledge over rather than hold it. Interested in the product and the science, not only the pipeline. Clear communicator in English. Education & Languages Degree in computer science or engineering, or equivalent practical track record. Fluent English. What This Role Is (and Is Not) This role IS Full ownership of infrastructure for a technically unusual product. A role where you finally get a team around you. Exposure to a broad modern stack. This role is NOT A pure cloud or pure on-premise role. A ticket-driven operations role. A role without contact with the product.

42 — независимая AI research-лаборатория, создающая универсальные фундаментальные модели для прогнозирования и принятия решений в сложных, быстро меняющихся системах. Стек: Go, Rust, Kafka, Postgres, ClickHouse. Амстердам, Нидерланды. Помощь с переездом.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT The successful candidate will join the global infrastructure team at QRT. This team is responsible for our rapidly growing Linux estate, including our global trading infrastructure and low-latency trading platform. The candidate will work closely with application and support teams to ensure we deliver a high performance, secure, and scalable platform for the business. The role has a strong focus on automation, and you will be responsible for providing the tools, processes and standards we use to manage and expand our Linux environment. This role is based in Hong Kong and will be the first platform engineering hire in APAC. You will be joining a well-established local infrastructure department and working alongside experienced colleagues in region. You will be the local representative of the global platform engineering function, within infrastructure and to APAC stakeholders more widely. This is a senior individual contributor role in which you will be trusted to work independently. You will be working on global solutions and contributing to the architecture and standards that underpin them, while ensuring regional solutions align with that global direction. In addition, as the regional platform engineering representative you will: Act as the primary point of contact in APAC for platform engineering, providing in-region engineering coverage during local market hours (production operations and incident response sit with a dedicated operations team). Gather, consolidate and advocate for regional requirements, ensuring APAC needs are properly represented in the global team's roadmap and design decisions. Ensure global standards, tooling and processes are consistently applied across the region's Linux estate, and identify where regional divergence needs to be addressed or legitimately accommodated. Lead or contribute to engineering projects with a significant APAC component. Partner closely with the local infrastructure department and regional stakeholders, building the relationships that help ensure engineering initiatives work effectively in region. Your present skillset: In depth knowledge of Linux (preferably RedHat distributions), with experience in building and administering trading platforms. Extensive experience with architecture and long-term evolution of automation / configuration management systems. Ansible experience preferred. Experience with monitoring and observability tools such as Splunk, Prometheus, Grafana. Experience with build/release management systems. Solid programming skills in Python and Bash. C/C++ is a bonus. Detailed understanding of server network stack, network protocols (e.g. TCP, UDP, IGMP), LAN and WAN technologies. Experience of performance analysis and tuning. Experience working in a collaborative development environment using source control. Strong problem solving and analytical skills. Experience driving adoption of engineering standards across teams; experience contributing to or defining those standards is an advantage. Good team player with a willingness to help others. Strong interpersonal and communication skills. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. As QRT’s infrastructure estate grows, maintaining accurate data on its resources, ownership and performance is increasingly important. In this hands-on role, you will build and operate the data foundations underpinning our infrastructure inventory and observability capabilities. The focus extends beyond dashboard design to creating an accurate, consistent and reliable view of the platform, its ownership and its behaviour. Your future role within QRT: Design and build data models for infrastructure and operational data, defining canonical representations for resources, ownership, capacity and utilisation. Integrate inventory, configuration, security and observability data from multiple systems into a coherent, queryable view. Keep key counts and metrics consistent across different consumers, and make data lineage, ownership and limitations explicit. Design data structures that are fast to query and easy to reason about at the scale of QRT’s estate. Automate data processing, validation and delivery, and build the tooling to detect data-quality, freshness and performance issues before consumers do. Investigate and resolve data-quality, freshness and performance issues, solving root causes rather than symptoms. Collaborate closely with infrastructure, security, engineering and observability teams to onboard new sources and improve the accuracy of the platform view. Take ownership of systems end-to-end, and adapt the platform as scale, requirements and underlying technologies change. Your present skillset: Experience building and operating production-grade data platforms, analytical data models, or large-scale data-processing applications. Strong SQL and dimensional or analytical data modelling experience, including the design of schemas that are maintainable, performant and easy for consumers to reason about. Strong Python software engineering experience, including the design of maintainable, tested production applications and scalable ETL/ELT pipelines. Demonstrated rigour around data correctness: establishing provenance, reconciling conflicting or incomplete sources, and reasoning carefully about identity, ownership and source of truth. Solid working understanding of infrastructure and observability concepts, and comfort working across data, infrastructure and observability domains. Experience operating business-critical pipelines and diagnosing data, performance and reliability issues in production. Familiarity with knowledge graphs, ontologies and taxonomies, and their application to modelling heterogeneous operational data. A strong bias towards automating repetitive work, and pragmatism in balancing correctness, performance and delivery. Excellent problem-solving and communication skills, and the ability to own outcomes across research, engineering and infrastructure teams. Preferred: A background in data science, statistics or applied machine learning, particularly applied to incomplete, noisy or inconsistent data, or to inferring missing information and identifying unusual behaviour. Experience with SQL-based analytical platforms, dbt, object storage and data catalogues. Experience with infrastructure inventory or CMDB data, ownership and capacity/utilisation modelling. Experience with metrics, logs and vulnerability data, and with observability tooling. Experience with Superset or comparable BI and data-exploration tools. Experience with Linux, containers and GitLab CI/CD. Experience with AWS services and cloud SDKs. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as Open Policy Agent (OPA), Sentinel, AWS Config/Service Control Policies to report on and prevent drift from approved patterns Partner closely with Security/Identity and Access Management (IAM) to deliver least-privilege enforcement and access-control requirements directly in our self-service capabilities while ensuring compliance and auditability Embed cost governance and reporting (budgets, anomaly detection, showback/chargeback) into provisioning workflows Drive the organization's Infrastructure-as-Code standards (e.g., Terraform/Terraform Cloud, Pulumi) Establish and maintain reusable, versioned modules and contribution standards that embed governance requirements by default. Automate environment provisioning, drift detection/remediation, and lifecycle management so policy compliance doesn't depend on manual review Stay ahead of AI-native tooling and bring forward practical opportunities balancing risk, fit, value, measurability, and alignment to company goals. Develop golden paths for infrastructure provisioning and service deployment that make the guided path the easiest path Partner on developer platform tooling and integrations (continuous integration and continuous delivery (CI/CD), container registries, managed data services, observability) where they intersect with governance and automation. What You'll Bring 8+ years in cloud engineering, DevOps, or platform engineering, including experience operating at a principal or staff level (setting direction, not just implementing) Deep experience with major Cloud Platforms (AWS, Azure, or Google Cloud Platform (GCP)), ideally across more than one Deep hands-on experience with Infrastructure-as-Code (Terraform and/or Pulumi) at scale, including module design and state/workspace management Direct experience implementing policy-as-code and cloud governance frameworks Experience with cloud cost management/FinOps practices and tooling Familiarity with continuous integration and continuous delivery (CI/CD) platforms, container registries, and observability tooling as consumers of the standards you build Ability to influence across platform, security, FinOps, and product engineering teams without direct authority Strong documentation and communication skills; able to make the case for standards to both engineers and leadership Experience mentoring engineers and setting technical direction beyond your own immediate team Experience with platform advocacy, working with partners to understand infrastructure needs in collaboration with Product. What Sets You Apart Exposure to applying AI tooling to infrastructure problems (policy review, anomaly detection, automation) is a plus Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600 — $259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Задачи: — Архитектура, создание и поддержка инструментов самообслуживания платформы и порталов разработчиков, позволяющих командам самостоятельно обеспечивать инфраструктуру, управлять окружениями и развёртывать сервисы. — Поддержка автоматизированных GitOps пайплайнов доставки с использованием ArgoCD/Flux, внедрение безопасных практик деплоя (canary, blue-green, автоматические откаты). — Поддержка здоровья кластеров, жизненных циклов обновлений, политик автоскейлинга и безопасности в мульти-региональных Kubernetes-развёртываниях. — Написание production-кода на Go/Python для создания кастомных Kubernetes операторов, CLI-утилит и API-автоматизации для оптимизации рабочих процессов разработчиков. — Внедрение платформенных SLI/SLO, централизованного логирования и трассировки, а также автоматизация политик безопасности и контроля затрат. Требования: — Опыт 5+ лет в platform engineering, site reliability engineering (SRE) или core DevOps с подтверждённым опытом проектирования и внедрения Internal Developer Platforms (IDP). — Экспертное владение Kubernetes, архитектурами кастомных контроллеров/операторов, сервис-мешами (Istio/Linkerd), непрерывной доставкой через GitOps инструменты (ArgoCD или Flux). — Глубокие знания Terraform, OpenTofu или Pulumi для создания модульных инфраструктурных шаблонов в облаках (AWS, GCP, Azure). — Сильные навыки программирования на Go или Python для создания расширений платформы, CLI-инструментов, Kubernetes операторов и интеграций API. — Практический опыт создания или интеграции порталов разработчиков (Backstage, Port) и автоматизированных workflow движков. — Опыт настройки телеметрии с Prometheus, Grafana и OpenTelemetry для метрик, логов и трассировок. Желательно: — Опыт с cloud-native control plane абстракциями, например Crossplane. — Знания FinOps, мониторинга затрат контейнеров (Kubecost) и автоматической оптимизации ресурсов. — Активное участие в open-source проектах CNCF. — Опыт в zero-trust безопасности, управлении секретами (HashiCorp Vault) и автоматизации комплаенса. Условия: — Своевременные ежемесячные выплаты с гибкими опциями вывода. — Предсказуемый график работы: 8-часовой рабочий день. — До 24 оплачиваемых гибких дней отпуска в год для full-time позиций. — Долгосрочные удалённые позиции в передовых компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс контрактации для множества возможностей без дополнительных оценок. — Стабильная оплата каждый месяц при работе через Proxify.

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking a platform engineer to join our Edge & Networking squad. This team owns everything that happens at the network perimeter: API gateway, routing, load balancing, DNS, and secure global traffic distribution. You'll design, build, and operate systems that are both robust and highly automated — enabling us to to scale reliably while maintaining low latency and high availability across our global infrastructure. You will work closely with other infrastructure and product teams to ensure seamless integration, observability, and performance of our edge services. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement Supabase’s global edge router platform; - Build programmable, API-driven routing logic to dynamically steer customer traffic; - Work with DNS, WAF, IP networking, TLS termination, CDN integrations, and global load balancing; - Implement advanced observability: relevant metric and log capturing, latency measurements, traffic shaping, routing health, and failure mitigation. - Optimize routing performance to minimize latency and improve reliability across cloud regions. - Collaborate cross-functionally with other teams to integrate networking solutions into the entire Supabase stack; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Design CI/CD systems to speed up deployments with proper change and release management processes; - Participate in on-call rotations, incident response, and post-incident reviews for edge-related issues; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A FIT IF YOU HAVE: - 5+ years experience in SRE/DevOps/Cloud Infrastructure; - 4+ years experience building and operating high-scale networking or edge infrastructure; - Strong experience with HTTP, TCP/IP, TLS certificate management, CDN internals, load balancing, and global routing; - Proficiency with traffic proxies / routers (e.g., Envoy, NGINX, HAProxy, Traefik, or building your own); - Experience designing systems for high availability, failover, and real-time observability; - Strong software engineering skills (Go); - Strong debugging and troubleshooting skills across distributed systems; - Knowledge of IPv6, BGP, Anycast, or advanced routing protocols; - Experience in managing large deployments on AWS, GCP, Azure, or similar; - Comfortable with cloud networking primitives (AWS, GCP, Azure, or similar); - Experience with Infrastructure as Code tools (Pulumi preferred, Terraform/CDK etc also acceptable); - Experience with being part of on-call rotations for large production systems. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Работа в гибридном формате: около 1–2 дней в месяц в офисе в Wallingford, Великобритания.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP