Вакансии

Обязанности: • проектирование и согласование архитектуры приложений и интеграций • развитие и разработка расчетных модулей системы, общих библиотек, реализация интеграционных взаимодействий • формирование требований для построения CI/CD, мониторинга, логирования • проведение ревью кода, поддержка код стандарта, командные коммуникации • распределение нагрузки между членами команды • контроль сроков выполнения задач, релизных циклов и выполнения выставляемых требований • организация внутренних процессов в команде. Требования: • профессиональный опыт на Python от 7 лет, опыт работы в должности технического лидера от 3 лет, опыт работы с K8s, OpenShift • понимание принципов жизненного цикла разработки и практический опыт создания python приложений enterprise экосистемы • опыт проектирования API и интеграционных взаимодействий (HTTP, REST, GraphQL) • понимание принципов ООП, SOLID, паттернов проектирования (GoF), базовых принципов многопоточного и асинхронного программирования (GIL, asyncio), понимание принципов и инструментов Scrum, понимание принципов CI/CD • уверенные знания Python и опыт разработки с использованием Django, FastAPI, Streamlit, уверенный Linux пользователь • опыт работы с python data (Pandas/Numpy/SciPy), с инструментами контейнеризации приложений (Docker) • практические знания и навыки работы с LLM (большими языковыми моделями) и DataScience. Условия: • только гибридный формат работы, г. Москва и г.Самара • годовой бонус и ежегодный пересмотр зарплаты • расширенный ДМС с первого дня и льготное страхование для семьи • корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров • вознаграждение за рекомендацию друзей в команду.

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: Vancouver, BC Our Security team keeps Asana's employees, users, and customers safe, by proactively addressing threats and fostering a culture of security throughout our product and operations. We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT, infrastructure, and product teams to ensure we have robust detection and response capabilities. Detection and response here leans on engineering practice. We are investing in automation and detection-as-code to cut down on manual triage, and we are looking for someone comfortable writing and reviewing code as part of that work. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Lead detection, analysis, and response across our cloud and SaaS environments, identity providers, endpoints, and the software supply chain , ensuring timely and effective remediation of security incidents. Investigate and remediate security incidents across cloud infrastructure (AWS/GCP/Azure), identity providers (e.g., Okta), and SaaS environments. Investigate and contain software supply chain and CI/CD incidents , from unauthorized changes in build environments to suspect third-party dependencies (e.g., npm, PyPI). Help build and maintain our detection-as-code infrastructure (e.g., Panther), SOAR automation, and response playbooks, treating detection logic as tested, version-controlled production code. Utilize and optimize security tools such as Panther for SIEM, CrowdStrike for endpoint detection and response, and other security platforms. Conduct proactive threat hunting and operationalize threat intelligence across cloud, endpoint, and identity telemetry to catch threats beyond standard SIEM alerting. Conduct forensic analysis during security incidents to understand the scope and impact of incidents. Collaborate with engineering teams to integrate security best practices into development processes and provide guidance on secure configurations. Develop and deliver training to educate engineers on security operations and incident response best practices. About you: 8+ years of experience in threat detection, security operations, or incident response , including investigating incidents across cloud platforms, identity providers, and SaaS applications, with practical knowledge of audit logging and IAM. Proficient in Python ( Bash, Go, or JavaScript/TypeScript is a plus ) for security scripting and automation , with hands-on experience across REST APIs, Git workflows, and PR-based code reviews . Hands-on experience investigating software supply chain threats , with fluency in auditing modern developer ecosystems (e.g., npm, PyPI), build logs, and CI/CD pipelines. Familiarity with "Detection as Code" methodologies , including test-driven detection logic and rule management through CI/CD pipelines. Strong experience with SIEM platforms (e.g., Panther, Splunk, Elastic Security) for log analysis, alert correlation, and dashboard creation. Deep working knowledge of endpoint detection and response (EDR) tools (e.g., CrowdStrike, SentinelOne) with specialized expertise in macOS endpoint security, telemetry, and threat detection capabilities . Experience performing digital forensics and root-cause analysis to determine incident scope and impact. Familiarity with common attack techniques, tactics, and procedures (TTPs) and frameworks like MITRE ATT&CK. Collaborative and pragmatic, with strong communication skills across technical and non-technical partners, committed to building robust defenses and helping engineers do their best, most secure work . Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between CAD $200,000-$240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Brazil; Colombia; Argentina; Bolivia, Plurinational State of; Chile; Turkey This Engineer will be responsible to lead the enterprise performance engineering efforts to ensure system scalability, stability, reliability, and responsiveness across distributed cloud and hybrid environments. Responsible for designing and executing load, stress, endurance, and scalability testing strategies while identifying bottlenecks across applications, APIs, databases, and infrastructure. Works closely with Architecture, DevOps, QA, and Development teams to validate production readiness, optimize system performance, and support high-availability cloud deployments within Azure and AKS environments. Primary Tools Apache JMeter Akamai CloudTest Azure Load Testing Azure Application Insights Azure DB Metrics AKS Container Monitoring PowerShell Monitoring Scripts Requirements Key Skills Performance and scalability testing Distributed systems and API architecture Azure cloud and Kubernetes (AKS) Performance metrics analysis and tuning CI/CD and automated performance pipelines Troubleshooting and root cause analysis Lead , coach and Mentor Performance Engineer staff offshore Nice to Have Mortgage or FinTech industry experience Experience with enterprise SaaS platforms and high-volume transaction systems

Обязанности: — Разработка и поддержка автотестов для web-приложения, API и интеграций. — Развитие и сопровождение тестовой автоматизации в CI/CD. — Участие в развитии QA-процессов и стратегии автоматизации тестирования. — Поддержка трансформации QA-процессов: переход от ручного тестирования к модели, ориентированной на автоматизацию. — Контроль и повышение качества продукта на этапе разработки и релизов. Требования: — От 5 лет опыта в QA, из них значительная часть — в автоматизации тестирования. — Практический опыт автоматизации UI-тестирования с использованием Playwright, Cypress или Selenium. — Уверенное тестирование API (REST). — Опыт интеграции тестирования в CI/CD-процессы (GitHub Actions или аналогичные инструменты). — Глубокое понимание процессов тестирования, тест-дизайна, стратегий обеспечения качества и критериев готовности к релизу. — Опыт работы по методологии Agile (Scrum/Kanban). — Уверенное владение Git и опыт командной разработки. — Свободное владение английским для общения с командой и стейкхолдерами (С1). Будет плюсом: — сертификация ISTQB; — опыт тестирования производительности (k6/JMeter/Gatling); — опыт работы в сфере контакт-центров.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote / Chicago / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 20 PB of data, with thousands of bare metal CPU cores at your disposal. Responsibilities Design, develop, and maintain high-performance server applications in C/C++ and Rust. Write message parsers and feed handlers for direct market data feeds from trading venues. Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). Implement tools and libraries for petabyte-scale data processing and analysis. Collaborate with the systems team to implement best practices for build, deployment, CI/CD. Implement monitoring and improve application uptime. Ensure smooth feature rollouts and updates. Preferred background 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. Strong proficiency in C/C++ or Rust. Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. Experience working with multiprocess environments. Comfortable with lldb/gdb. Good communication skills and work ethic for a remote workplace. An interest in low-level optimization and performance engineering. An interest in financial data or algorithmic trading. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $150,000–$250,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Задачи: - Проектирование и разработка продакшн-систем с использованием Python 3.12+ для AI-агентов и LLM моделей - Реализация мультиагентной архитектуры: интеграция компонент, реализация пайплайнов и кастомных оркестраторов (LangChain, LangGraph, RAG) - Разработка и поддержка API (FastAPI, Django): создание микросервисов, REST, асинхронные сервисы - Интеграция с реляционными, NoSQL и векторными базами данных (PostgreSQL, Redis, MongoDB, VectorDB: ChromaDB, QDrant) - Создание, обучение и внедрение ML-моделей (ML pipeline, Prompt Engineering, RAG, оценка качества, A/B тестирование) - Контейнеризация (Docker, Docker Compose) и деплой в Kubernetes, частичная настройка DevOps-процессов (CI/CD: Jenkins, ArgoCD) - Разработка unit-тестов, код-ревью, оптимизация производительности, обеспечение безопасности - Взаимодействие в Agile-командах, участие в планировании, менторинг Требования: - Владение Python 3.12+: глубокое знание стандартных и современных возможностей языка (asyncio, typing, dataclasses, pydantic, pytest) от 4-6 лет - Практический опыт разработки AI/ML решений с использованием LangChain, LlamaIndex, RAG, интеграция с LLM API - Опыт проектирования и сопровождения высоконагруженных REST API на FastAPI/Django (архитектура, DI, сериализация, OpenAPI) - Продвинутая работа с PostgreSQL/Redis, проектирование сложных схем, индексация, оптимизация, векторные базы данных - Навыки контейнеризации, деплой в Kubernetes - Опыт внедрения CI/CD пайплайнов, мониторинга, алертинга, организации логирования - Уверенное знание Git, опыт командной работы (Agile, Scrum) - Английский B2+ для чтения документации и коммуникаций Будет плюсом: - Fine-tuning и кастомизация LLM, prompt engineering, оценка качества - Опыт с MLOps, LLMOps и мультирегиональными архитектурами - Участие в R&D или open-source проектах, менторство, архитектурное мышление - Работа с GigaChat API Условия: - Возможность профессионального и карьерного роста в компании, возможность поучаствовать в разных проектах - Опыт работы в распределенной команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы: Офис/гибрид г.Москва или Санкт-Петербург.

Company Description SCAYLE Payments enables smooth and innovative payment processes in the ABOUT YOU online fashion store, including the introduction of new marketplace functionalities. As a subsidiary of ABOUT YOU Group and a Federal Financial Supervisory Authority (BaFin)-regulated Payment Services Supervision Act (ZAG) institute, SCAYLE Payments takes care of all important aspects of payment transactions: From the integration of payment service providers and payment methods at the Online-Fashion-Stores checkout to the deposit and payout processes of end customers and merchants. The team’s objective is to make payment transactions in e-commerce simpler, safer, and future-oriented. Job Description Own the design and delivery of scalable backend systems across the payment lifecycle (PHP 8.3) Drive architectural decisions and evolve systems towards scalable, event-driven and distributed designs Lead complex technical initiatives end-to-end, from discovery to production and iteration Champion engineering excellence through TDD, CI/CD, and continuous delivery practices Mentor and support other engineers through pairing, feedback, and knowledge sharing Proactively identify and address system, process, and scalability challenges Qualifications 6+ years of backend engineering experience, with strong expertise in PHP Proven track record of designing and scaling distributed systems in production environments Deep experience with APIs, data storage solutions (PostgreSQL, Redis), and messaging systems (Kafka, RabbitMQ, SQS) Strong understanding of cloud-native systems and infrastructure (e.g. Kubernetes, containerized environments) Solid architectural knowledge (microservices, event-driven, hexagonal) and ability to apply it pragmatically High ownership mindset with the ability to lead, mentor, and influence technical direction Additional Information Main Benefits Flexible working times 40% discount on our ABOUT YOU online shop Fresh fruits + drinks everywhere Language courses (German & English) Free sports courses & reduced price for Wellpass membership Subsidized public transportation ticket Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage Modern office in the city center of Hamburg International working environment and English as company language Agile work environment and cross-functional teams Dog-friendly office Professional training Company pension plan Help in relocation and VISA process (Benefits may vary depending on location)

Обязанности: - Прототипирование приложений и ботов с использованием AI - Контейнеризация и деплой на серверы - Настройка CI/CD и работа с облаками - Управление серверной инфраструктурой и мониторинг - Работа с базами данных и создание маркетинговых страниц Условия: - Обучение с нуля - Опытные специалисты в команде - Работа над интересными проектами в области ИИ - Возможность быстрого карьерного роста

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager. Responsibilities: Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies Improve developer experience by reducing operational complexity and simplifying platform onboarding Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Required Qualifications: 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management Experience building and operating services within distributed or service-oriented architectures Desired Qualifications: Experience building ML infrastructure within a real-time, or latency-sensitive environment Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability Familiarity with agentic workflows and orchestration frameworks for LLM-based systems Passion for player experience, game systems, or creative technology development For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible. You’ll focus on making Sierra’s infrastructure secure, reliable, and scalable, enabling product teams to deliver with speed and confidence. - Ensure the reliability, scalability, and performance of our platform and LLM inference serving as we rapidly grow traffic. - Build and maintain cloud infrastructure using Terraform to ensure scalable, secure, and reproducible environments. - Create and maintain a self-serve infrastructure platform that enables the rest of engineering to deploy and operate services. - Own and evolve CI/CD pipelines and release management, enabling fast, reliable deployments for Sierra’s platform. - Architect and operate distributed systems that leverage distributed databases, retrieval systems, and ML models. - Develop and maintain core data serving abstractions along with authentication and security features (SSO, RBAC, authentication controls). - Navigate and integrate our stack with enterprise customer environments in scalable and maintainable ways. - Enhance observability tooling (metrics, logging, tracing) to provide deep visibility into platform health and performance. - Lead and participate in incident management, improving system resilience through proactive monitoring, root cause analysis, and postmortems. WHAT YOU’LL BRING - Strong software engineering background with 5–7+ years of hands-on development experience in highly technical products. - A strong inclination towards building automation, tooling, and platform, along with designing maintainable systems. - Proven experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform preferred). - Hands-on expertise in CI/CD systems, release management, and container orchestration (e.g., Docker, Kubernetes). - Experience with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry, etc.). - Experience in incident response and operating distributed systems in production. - Degree in Computer Science or related field, or equivalent professional experience EVEN BETTER… - Production experience working with LLMs and machine learning models. - Background in distributed systems, running SaaS services at scale, and agentic architecture. - Familiarity with security and authentication protocols (OAuth, SSO, mTLS). - Previous experience in a fast-paced startup environment or platform/infra-focused team. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

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.