Вакансии

Обязанности: • Доработка и дальнейшее поддержание работы существующего центра мониторинга (отслеживание нахождения спецтехники). • Внедрение новых идей по развитию центра мониторинга (ИИ и прочие инструменты), в целях обеспечения безопасности спецтехники, своевременного реагирования на ситуации по угону, краже спецтехники. Требования: • Python • FastAPI • REST API • MySQL • Docker • Docker-compose • Linux • Kubernetes • Работа в GitLab и с CI/CD механизмами • Уровень Senior • Опыт работы с геоданными и поставщиками услуг телематики Цезарь, Виалон. Условия: • Возможности для профессионального, финансового и карьерного развития. • Официальное оформление по ТК, полный соц. пакет. • На территории БЦ столовая, обеды для сотрудников частично оплачивает Компания. • Предоставляется охраняемая парковка за счет компании.

Задачи: — Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm Требования по DevOps: — уверенное пользование Linux на уровне администратора — опыт решения инцидентов и поиска уязвимостей — знания модели OSI и понимание работы сетевого трафика — опыт работы с сервисами на уровне TCP/UDP приветствуется — уверенные знания Docker и Docker Compose — понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется — опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.) — опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins — умение работать с консольным Git Требования по Unity: — крепкое понимание Unity — хорошие знания C# — опыт сборки Unity-проектов под серверные окружения — опыт работы с Unity Dedicated Server / headless builds — опыт работы с сетевым решением Mirror — понимание особенностей multiplayer разработки — умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы — умение писать поддерживаемый, понятный и тестируемый код Требования по Backend: — опыт разработки backend сервисов на C# / ASP.NET Core — понимание REST API и принципов проектирования API — опыт работы с PostgreSQL, MySQL или другими реляционными базами данных — понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги Будет большим плюсом: — опыт оптимизации серверной нагрузки — опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов Условия: — формат: полная занятость — локация: удалённо — работа над действующим мобильным multiplayer-проектом — возможность влиять на технические решения и развитие инфраструктуры проекта

Location: Petten, Netherlands; Pondicherry, India; Aachen, Germany; Abidjan, Côte d'Ivoire; Abu Dhabi, United Arab Emirates; Ahmedabad, India; Berat, Albania; Alexandria, Egypt; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Athens, Greece; Atlanta, United States; Augsburg, Germany; Austin, United States; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Bangkok, Thailand; Barcelona, Spain; Batumi, Georgia; Belgrade, Serbia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birmingham, United Kingdom; Bishkek, Kyrgyzstan; Boca Raton, United States; Bolzano, Italy; Bordeaux, France; Boston, United States; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bryanston, South Africa; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Buenos Aires, Argentina; Cairo, Egypt; Cape Town, South Africa; Cebu City, Philippines; Chemnitz, Germany; Chicago, United States; Santiago, Chile; Beijing, China; Chișinău, Moldova, Republic of; Bogota, Colombia; Colombo, Sri Lanka; Columbus, United States; Copenhagen, Denmark; Costa Rica; Havana, Cuba; Dakar, Senegal; Dallas, United States; Dammam, Saudi Arabia; Darmstadt, Germany; Davao City, Philippines; Delhi, India; Detroit, United States; Mirpur, Bangladesh; Djibouti; Dnipro, Ukraine; Douala, Cameroon; Dresden, Germany; Dubai, United Arab Emirates; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; London, United Kingdom; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Florida City, United States; Frankfurt, Germany; Freiburg, Germany; Gatineau, Canada; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Guadalajara, Mexico; Guatemala Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Continuous Integration & Verification Infrastructure Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to work in a highly technical and innovative environment, this could be the perfect fit for you. Key Responsibilities Set up a Continuous Integration flow Automate and maintain regression test infrastructure Optimize the use of resources available (Computing, licenses...) Collaborate with the Design Verification and infrastructure team. Strong experience with scripting and automation using Python, Bash, or similar scripting languages. Hands-on experience with Git and modern Continuous Integration tools and methodologies. Proven experience optimizing system resources, including compute environments, licensing systems, and infrastructure utilization. Solid understanding of Linux-based environments and development workflows. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a collaborative, cross-functional engineering environment. Excellent communication skills and a proactive mindset. Nice to Have Experience with Design Verification environments and methodologies. Knowledge of semiconductor, ASIC, FPGA, or hardware verification workflows. Experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms. Familiarity with containerization technologies such as Docker or Kubernetes.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing K8s cluster lifecycle management: Own the build, scaling, version upgrades, daily operations, fault diagnosis, and performance tuning of large-scale production Kubernetes clusters; ensure 7×24 high availability and stable operations; support continuous business iteration. Alibaba Cloud & AWS multi-cloud operations (core responsibility): Operate, govern, and optimize Alibaba Cloud and AWS resources across dual-cloud environments, covering container services, networking, storage, IAM, load balancing, databases, and object storage; manage configuration changes, cost optimization, and disaster recovery to achieve unified multi-cloud governance. Cloud-native architecture and optimization: Lead containerization and microservices operational rollout; optimize Pod scheduling, resource quotas, network policies, image management, and log monitoring systems; resolve cluster resource fragmentation, business adaptation, and network interoperability challenges. Stability and security: Build comprehensive K8s cluster monitoring, alerting, logging, and distributed tracing systems; define operations runbooks, change processes, and incident response plans; strengthen cluster security controls, disable high-risk permissions, harden container runtime environments, and ensure infrastructure and business data security. Automated operations and DevOps: Develop operations automation scripts using Shell/Python; integrate Jenkins, GitLab CI, and ArgoCD to build automated release, inspection, and backup systems; implement Infrastructure as Code (IaC) principles to improve efficiency and reduce human error. Incident management and post-mortem optimization: Lead online incident response, conduct root cause analysis, produce post-mortem reports, and continuously optimize cluster architecture, resource allocation, monitoring strategy, and long-term stability assurance mechanisms. Technical knowledge sharing and team empowerment: Track Cloud Native and public cloud technology developments; document operations best practices and technical specifications; assist the team in improving multi-cloud K8s operations capabilities. What We Look For In You Bachelor's degree or above in a computer-related field; 4+ years of hands-on experience operating production-level Kubernetes clusters; proficient in K8s core principles and components including Pod, Deployment, StatefulSet, Service, Ingress, CRD, controllers, scheduling strategies, network models, and storage mounting; able to independently resolve complex cluster failures and performance bottlenecks. Proficient in Alibaba Cloud and AWS dual-cloud operations, with independent experience in dual-cloud production environments: Alibaba Cloud: proficient in ACK Container Service, ECS, SLB, VPC, RAM, RDS, OSS, CloudMonitor, security groups, and snapshot backups. AWS: proficient in EKS, EC2, S3, VPC, IAM, TGW, load balancing, CloudWatch, and security policies; practical experience in overseas cloud deployment, operations, and disaster recovery. Proficient in Linux system administration; familiar with system optimization, permission control, process management, log analysis, and online troubleshooting. Familiar with mainstream container runtimes (containerd/Docker); understand K8s networking (CNI plugins such as Calico/Flannel), storage (CSI), and multi-cluster management; familiar with Istio/Envoy service mesh, east-west traffic governance, gray-scale releases, and network interoperability. Strong Shell and Python automation skills; experienced with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD); familiar with IaC tools (Terraform, Ansible, Helm); experienced with observability stacks (Prometheus, Grafana, ELK/EFK, Jaeger, SkyWalking). Preferred: experience in large-scale public cloud environments (100+ nodes); multi-cloud cost optimization; K8s security hardening (OPA/Gatekeeper, Pod Security Standards, Falco); Kubernetes CKA/CKS certification; experience with AI/LLM workload scheduling (GPU scheduling, distributed training). Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Build and maintain the core infrastructure of the AIOps platform, including the unified monitoring & alerting system and the FinOps cost observability platform. Maintain and continuously optimize internal R&D infrastructure (GitLab, Nexus, Sonar, etc.). Manage monitoring data collection, alert governance, and cost data visualization across multi-cloud environments (Alibaba Cloud / AWS). Support cloud security operations, including cloud security alert management and compliance auditing. What We Look For In You 3+ years of DevOps or SRE experience; experience with AIOps or observability platform development is a plus. Proficient in Python; familiar with at least one of Go or Java. Full-stack capability (React/Vue frontend + backend API) is a plus. Hands-on experience with at least one major cloud platform (Alibaba Cloud or AWS); familiar with cloud monitoring products (CloudWatch / Alibaba Cloud CloudMonitor) and cost management tools. Familiar with monitoring and logging stacks such as Prometheus, Grafana, and ELK. Experience maintaining and optimizing CI/CD toolchains (GitLab CI, Nexus, container registries). Experience with AI/LLM application development (e.g., LLM API integration, RAG, Agent frameworks) is a plus. Good written and verbal English communication skills. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.   You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   CI/CD & RELEASE ENGINEERING   - Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. - Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. - Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.   PLATFORM RELIABILITY & OBSERVABILITY   - Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). - Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. - Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.   CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT   - Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. - Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. - Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. - Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.   SECRETS, ACCESS & SECURITY POSTURE   - Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. - Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). - Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. - Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.   AUTOMATION & TOOLING   - Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. - Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.   GOVERNANCE, STANDARDS & COLLABORATION   - Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. - Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. - Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.   QUALIFICATIONS   EXPERIENCE   - 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role - 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) - Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity - Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado - Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context - Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus - Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices - Experience with incident management, on-call processes, and writing post-incident reviews   SKILLS & COMPETENCIES   Technical   - Strong scripting skills in Python, Bash, or Node.js for automation and tooling - Proficiency with Git, branching strategies, and version control best practices - Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools - Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) - Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) - Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred - Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases   Operational & Mindset   - Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. - Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. - AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. - Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. - Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.   WHAT YOU'LL WORK WITH   - Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. - NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. - MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. - Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. - GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. - AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. - GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. - Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. - Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.   RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. - Foster a culture of ownership, accountability, and continuous improvement. - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them. - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership. - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.   REQUIREMENTS - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers). - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews. - Strong background building and maintaining scalable, production infrastructure. - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins). - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same. - Strong written and verbal communication skills; able to influence across teams without direct authority. - Track record of recruiting and growing engineering talent. - Openness to learning about ML infrastructure; prior machine learning experience is not required.   NICE TO HAVE - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry). - Background in multi-cloud environments or GPU infrastructure. - Experience building and managing on-call rotations and incident response processes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Amsterdam, Netherlands; Germany; Israel; London, United Kingdom; Remote - Europe; United Kingdom 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 Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Y our responsibilities will include: Improving services based on user feedback Building fault-tolerant, self-healing architecture Finding ways to speed up our systems and reduce user friction Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby An understanding of what's happening under the hood in Unix-like systems and the JVM A passion for improving the user experience The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: Experience in Platform Engineering Experience operating GitLab (or another VCS) and TeamCity (or another CI system) Experience with Spring and operating Java monoliths We conduct coding interviews as part of the process. 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.

Задачи: — Улучшать локальные среды разработки, системы сборки и тестовые процессы для повышения опыта разработчиков. — Оптимизировать процессы CI/CD для увеличения скорости разработки и снижения трений в инженерных командах. — Разрабатывать инструменты, фреймворки и автоматизацию для упрощения разработки и деплоя кода. — Сотрудничать с инженерными командами для выявления проблем в рабочих процессах и внедрения лучших практик продуктивности. — Оценивать новые инструменты и продвигать решения, ориентированные на разработчиков, для повышения инженерного качества. Требования: — Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт. — Опыт работы не менее 3 лет в качестве инженера-программиста с фокусом на системах сборки или внутренних инструментах. — Подтвержденный опыт разработки и деплоя приложений на C++ и Python. — Опыт работы с современными системами сборки (CMake, Bazel) и системами контроля версий (Git, devcontainers). — Владение CI/CD системами, такими как GitHub Actions, GitLab CI, Jenkins или TeamCity. — Глубокие знания Linux-систем (предпочтительно Ubuntu/Debian) и контейнеризации (Docker). Плюсы: — Навыки скриптинга на Python или Bash для автоматизации. — Знакомство с Infrastructure-as-Code (IaC). Условия: — 30 дней оплачиваемого отпуска в год. — Гибридный формат работы и гибкий график. — Полная поддержка визы и релокации для международных кандидатов. — Субсидии на EGYM Wellpass и Deutschlandticket. — Выгодная программа лизинга велосипедов через JobRad. — Финансовая поддержка курсов местного языка. Процесс найма: — Первичный скрининг. — До 4 раундов интервью для оценки технических навыков и соответствия культуре компании.

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. The Technical Automation QA (Playwright / TypeScript) at Constructor Tech will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on Playwright and TypeScript . This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of AI-driven testing and Modular Composable Platforms (MCPs) . You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process. Key Responsibilities Design, build, and maintain scalable automation frameworks using Playwright and TypeScript for web and API testing. Define and evolve test automation strategy , processes, and best practices to ensure consistent quality across projects. Develop and maintain robust, reusable test suites and utilities for regression, smoke, and integration testing. Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops. Collaborate with developers and DevOps engineers to ensure test environments and data are stable and reliable. Apply white-box and gray-box testing techniques to ensure thorough coverage of both frontend and backend components. Contribute to the adoption of AI-assisted testing tools and automation intelligence for test creation, maintenance, and analytics. Participate in exploration and implementation of MCP-based automation components and reusable service connectors. Provide technical guidance through mentoring and peer reviews , helping less experienced QAs enhance their automation expertise and code quality. Continuously improve test performance, reliability, and reporting visibility through innovation and tool evaluation. Requirements Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. 4+ years of experience in QA and automation , including 2+ years with Playwright and TypeScript . Proven experience in building test automation frameworks from scratch . Solid understanding of SDLC , QA methodologies , and automation design principles . Strong knowledge of TypeScript and/or Python for test development. Experience with REST API testing , SQL , and relational databases. Familiarity with Jenkins , GitLab CI , and Git for continuous integration and source control. Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset. Fluent in English , both written and verbal. Nice to Have Experience with AI-powered testing tools or model-based testing . Familiarity with Linux , Docker , and Kubernetes (K8s) . Knowledge of mobile automation frameworks such as Appium or similar tools. Understanding of MCP architecture and how it can enhance modular automation. Knowledge of performance or security testing concepts. Experience working in Agile or Kanban environments. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:    As the Platform Engineer Team Lead, you will work alongside the department's Manager in coordinating the team’s daily operations while actively contributing to the design, implementation, and continuous improvement of platform infrastructure, CI/CD pipelines, and automation processes.    This role combines hands-on technical expertise with leadership responsibilities, offering the opportunity to mentor team members, drive operational excellence, and help shape scalable, secure, and reliable cloud-native environments.    If you are passionate about DevOps culture, cloud technologies, automation, and leading by example in a collaborative environment, we'd like to hear from you! The main responsibilities of the position include: Develop and execute action plans to achieve agreed goals and performance indicators Recommend and actively promote improvements to DevOps practices, automation patterns, and tooling Identify automation opportunities and drive implementation initiatives within the Platform Engineering team Monitor and suggest improvements to the existing CI/CD process to increase speed, safety, and reliability Coordinate implementation activities within the team and assist in cross-team collaboration when required Develop, maintain, and enhance existing GitLab CI pipeline libraries Assist developers with setting up CI/CD for their projects and provide support for any issues that may arise Stay up to date with the latest tools and trends in the industry and share relevant insights with the wider team Ensure adherence to best practices across Windows, Linux, and Kubernetes environments and support continuous improvement initiatives Support knowledge-sharing sessions and educate Application Development Teams on platform standards, tools, and best practices Work closely with the Security team to remediate vulnerabilities and ensure platform compliance with security standards Set personal targets for team members and monitor performance Provide regular feedback, coaching, mentoring, and development support to team members Encourage collaboration, innovation, and continuous improvement within the team Help maintain a motivated, engaged, and high-performing team environment Main requirements: BSc/MSc in Computer Science, Engineering, or a similar discipline 7+ years’ experience within the following areas: Cloud (AWS), Release Pipeline Management, Windows Server Administration, Linux Administration, Certificate Management, PowerShell scripting, Bash/python scripting, Configuration Management and IAC (Ansible/Terraform), DNS, Networking Enterprise-level Kubernetes experience Solid Linux administration skills Strong leadership, mentoring, and people management skills Commitment to continuous improvement, with a focus on observability, modern application architecture styles, blue-green/canary deployments, and CI/CD pipeline management Ability to self-motivate, study, and stay on top of emerging technologies and trends while meeting business deadlines Excellent communication, organizational, and time management skills Strong attention to detail and cost awareness Ability to work effectively in fast-paced environments and deliver high-quality results within tight deadlines Experience with tools including: Istio, Prometheus, Grafana, ELK, MSK, New Relic The following will be considered an advantage: Familiarity with database concepts Working experience with at least one cloud provider (preferably AWS) Experience with Apache Kafka configuration and troubleshooting Experience with ELK configuration and troubleshooting Experience mentoring or coaching technical teams Scripting skills (Bash, PowerShell, Python, Go, etc.) Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Canada Workplace: remote ABOUT YOU   Xsolla is looking for a Senior Frontend Software Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and e-commerce experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences. Design, build and evolve scalable, high-performance frontend web applications Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end such as requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Contribute to the modernization, refactoring, and continuous performance improvements to keep the platform scalable, maintainable, and aligned with product goals. Contribute and enforce engineering best practices across coding, documentation, testing, and review processes. Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability. Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements. Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling. Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders. Qualifications & Skills: At least 2+ years of experience holding a senior frontend development title. 7+ years of frontend software development experience with strong expertise in modern frontend frameworks at scale. Experience building or leading frontend development for e-commerce, gaming, or monetization platforms Extensive experience with Typescript, React, Redux or modern state management libraries. Experience with module federation, component architecture, performance optimizations, accessibility, RSC, and SSR patterns. Strong expertise in modern CSS frameworks and UX/UI design systems and principles. Solid understanding of microservices architecture and RESTful or RPC-style APIs integration and patterns. Proficiency with Node.js and MongoDB for server-side functionality. Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress). Good understanding of bundling and compilation (e.g., webpack, rollup, vite, esbuild) Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling. Proven ability to influence technical decisions and drive change. Experience in a leadership role is a plus. Excellent interpersonal and communication skills facilitating effective collaboration with a cross functional team. Committed to writing high-quality code and continuously improving projects. Strong understanding of development best practices, including design patterns, testing methodologies, and an agile development process. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Strong English communication skills, both written and verbal Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.  Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Frontend Software Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Задачи: — Поддержка и улучшение облачной инфраструктуры AWS, включая VPC, EC2, EKS, IAM, Route 53 и S3. — Управление платформами на базе Kubernetes. — Проектирование, внедрение и поддержка инфраструктуры как кода (IaC) с использованием Terraform и Ansible. — Поддержка развертывания сервисов и стандартизации платформы с помощью Helm. — Создание, поддержка и улучшение конвейеров CI/CD с использованием GitLab CI и Argo CD; администрирование локальных установок GitLab. — Поддержка и улучшение мониторинга и наблюдаемости платформы (VictoriaMetrics, VictoriaLogs, Grafana). — Администрирование и поддержка HashiCorp Vault. — Устранение неполадок и поддержка сред на базе Linux, работающих на EC2 и Kubernetes. — Оказание базовой оперативной поддержки для PostgreSQL, MS SQL, Airflow и рабочих нагрузок баз данных, работающих как в AWS RDS, так и в Kubernetes. — Участие во внедрении средств контроля безопасности инфраструктуры и платформы (шифрование, сегментация сети, безопасная связь между сервисами и т. д.). — Разработка внутренних инструментов и решений для автоматизации. — Расследование инцидентов, выявление первопричин и внедрение превентивных мер. Требования: — Опыт работы с Kubernetes, AWS, Terraform. — Знание английского языка на уровне от B2. Условия: — Релокация в Индию, город Гургаон. — Полный релокационный пакет. — Возможность поработать в других странах через год. — Работа в русскоязычной команде. Обзор проектов: — Система принятия решений для риск-менеджеров и разработчиков стратегий по борьбе с мошенничеством, использующая Kogito, Kotlin и Kubernetes. — Платформа автоматизации маркетинга с микросервисами на Python и FastAPI. — Data Lakehouse с Apache Airflow, Apache Spark, MS SQL и технологиями для борьбы с мошенничеством и обеспечения информационной безопасности.

Location: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Москва Команда занимается разработкой Disrupt-решений в сфере Безопасности Сбера Цель команды – разработка инновационных решений, проверка гипотез, посредством подготовки MVP и PoC планируемых продуктов, поддержка продуктовых команд в части оперативной разработки. Обязанности * разработка ML-алгоритмов * разработка ML-моделей * поддержка существующих AI-решений * разработка AI-Агентов * проработка AI-архитектуры внедрения решений в целевой процесс * генерация идей. Требования * высшее образование * коммерческий опыт работы разработки\\в сфере ИИ не менее 2 лет * опыт самостоятельного лидирования * готовность работы в условиях многозадачности и сжатых сроков, интенсивному обучению и повышению квалификацию * опыт работы со следующим стеком: Python, numpy, pandas, scipy, scikit-learn, XGBoost, PyTorch, OpenAI, LangChain, LangGraph, Chroma, prompt engineering, FastAPI, REST/gRPC, React, Docker, Kubernetes, GitLab. Будет плюсом: * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия * офисный формат работы, г.Москва * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: • Ручное и авто тестирование в соотношении 70 на 30 (frontend и backend 70/30 соответственно), тестирование хранилищ данных - сначала ручного будет 90/10 к авто; • Тестирование документации; • Составление и актуализация тестовой документации; • Поддержка и развитие автотестов Стек: Front: JS+React Back: Python БД: Postgre Требования: • Опыт работы более 4х лет; • Опыт в финтехе/инвестициях; • Опыт работы по Agile (Kanban, Scrum); • Опыт разработки автотестов; • Уверенные знания видов тестирования; • Практический опыт применения техник тест-дизайна; • Практический опыт тестирования frontend и backend; опыт тестирования backend критичен; • Опыт практического использования PyTest, Playwright, Requests; • Практический опыт тестирования интеграций; • Опыт автоматизированного тестирования на Python; • Практический опыт работы с Postman и снифферами (продвинутый уровень); • Навыки работы с TMS-системами, GitLab, Jira (или аналоги), SQL, DevTools; • Базовые навыки разработки автотестов на Python (REST/UI) или знание Java core; • Опыт тестирования микросервисной архитектуры Будет плюсом: - Опыт в финтехе/инвестициях на последнем месте; - Опыт внедрения автоматизации с нуля;