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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.

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: Yerevan Workplace: OnSite About the role Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day. Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm. Location Yerevan, Armenia, Austin, Texas or London, UK What We're Building Toward As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution: - Full-stack observability** across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance. - Reliable, self-service compute orchestration** spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks. - Mature secrets management** for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows. - Unified release pipelines** that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs. - A well-maintained platform foundation** where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading. - Strong security posture** across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact. Requirements - Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them. - Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar). - Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment. - Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments. - Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services. - Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them. - Hands-on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks. - Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH. - Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging. Nice to Have - Experience in a trading firm or other environment with strict uptime and latency requirements. - Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible). - Experience with log aggregation and SIEM systems. - Understanding of compliance frameworks relevant to financial services. Benefits - Health, visual and dental insurance - Flexible sick time policy

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.

Задачи: — Развёртывание и поддержка blockchain nodes / validator infrastructure. — Эксплуатация Kubernetes-кластеров в bare metal окружении. — Поддержка и развитие IaC-подхода. — Настройка мониторинга и observability. — Работа с сетевой инфраструктурой. — Troubleshooting и устранение инцидентов. — Взаимодействие с заказчиком по инфраструктурным вопросам. — Обеспечение высокой доступности и стабильности сервисов. Требования: — Уверенный опыт с Kubernetes в bare metal environments. — Практический опыт с Terraform и Ansible. — Сильная Linux-экспертиза (Ubuntu / Debian / CentOS). — Опыт работы с Prometheus и Grafana. — Хорошее понимание сетей: DNS, TLS, ingress/load balancers. — Опыт поддержки production infrastructure. Преимущества: — RKE2, Talos Linux. — Flux / Argo CD. — Базовый Go или Python. — Security/compliance practices (шифрование, hardening). — Опыт работы с blockchain nodes / validator infrastructure. Условия: — Работа из офиса в Тбилиси или удалённо (релокация из РФ/РБ обязательна). — Помощь с релокацией в Тбилиси. — Полное обеспечение техникой. — Компенсация занятий спортом и обучения.

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.

О ПРОЕКТЕ Современная финтех-платформа для разработки и внедрения AI-агентов. Продукт позволяет автоматизировать бизнес-процессы и создавать интеллектуальных помощников для оптимизации работы команд. В проекте активно используются AI-инструменты для разработки и эксплуатации. ОСНОВНЫЕ ЗАДАЧИ — Настройка и развитие систем мониторинга и алертинга в Grafana. — Улучшение процессов логирования и отладки высоконагруженных систем. — Разработка, стабилизация и оптимизация CI/CD пайплайнов в GitLab. — Обеспечение отказоустойчивости Kubernetes-кластеров и настройка резервного копирования. — Стандартизация процессов эксплуатации и написание технической документации. ТРЕБОВАНИЯ К КАНДИДАТУ — Гражданство и нахождение на территории РФ. — Коммерческий опыт в DevOps от 3 до 5 лет. — Глубокие знания Kubernetes и технологий контейнеризации. — Опыт работы с GitLab CI и выстраивания релизных процессов. — Готовность работать в гибкой среде и активно использовать AI-инструменты в работе. БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт развертывания LLM (vLLM, Ollama и аналоги). — Навыки работы с инструментами Grafana. — Использование AI-помощников в кодинге (Claude, Cursor и др.). УСЛОВИЯ РАБОТЫ — Полностью удаленный формат работы. — Возможность работы с передовым стеком технологий на стыке Fintech и AI. — Минимум бюрократии и фокус на инновационные подходы к разработке. — Достойный уровень компенсации и стабильный проект.

Задачи: — Эксплуатация и развитие инфраструктуры UEM-платформы SafeMobile — Поддержка крупных инсталляций у заказчиков — Документирование типовых сценариев развёртывания и настройки — Интеграция с инфраструктурой заказчиков: AD/LDAP, SIEM, ServiceDesk, PKI — Формирование требований к продукту на основе опыта эксплуатации Требования: — Опыт эксплуатации MDM/UEM на парке от 1000 устройств — Практический опыт хотя бы с одной из платформ: VMware Workspace ONE / AirWatch, Microsoft Intune, SOTI MobiControl, Samsung Knox Manage, Ivanti / MobileIron, Headwind MDM, BlackBerry UEM или аналоги — Понимание Android Enterprise: Work Profile, Fully Managed, Dedicated Device, COPE — Понимание iOS-управления: Supervised, DEP / ABM — Уверенный Linux — Навыки написания скриптов на Bash и Python — Понимание принципов работы сетей, VPN и PKI Будет плюсом: — Опыт миграции между MDM-платформами — Опыт работы в отраслях с массовыми парками: ритейл, логистика, курьерские службы, нефтегаз, банки, здравоохранение, транспорт — Знакомство с Samsung Knox, Zebra MX, Honeywell, Urovo и другими корпоративными вендорами устройств — Опыт работы с устройствами на AOSP Условия: — Удалённый или гибридный формат — Трудоустройство в аккредитованную ИТ-компанию — Команда из 50+ инженеров, без лишней бюрократии — Прямое влияние на развитие продукта: ваш опыт ложится в платформу

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

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

Задачи: — Развертывание и поддержка платформы Cycode в инфраструктуре клиентов (Kubernetes/OpenShift). — Автоматизация всего: от деплоев до операционных задач (Terraform, Python/Bash). — Troubleshooting сложных distributed-систем (инфраструктура + K8s + код). — Повышение отказоустойчивости и наблюдаемости платформы. Требования: — 5+ лет в DevOps/SRE. — Глубокая экспертиза в Kubernetes (понимание internals, networking, scaling). — Опыт с Terraform и AWS. — Английский язык от B1+ Условия: — Гибридный формат (3 дня в неделю в офисе). — Тип контракта B2B (с поддержкой Blue Card). — Работа с инновационной AI-Native платформой в сфере Application Security. — Управление сложным распределенным решением, защищающим CI/CD процессы крупных компаний.

Location: Espoo; Berlin Workplace: Hybrid - Senior DevOps Engineer – Core Platform Engineering - Location: Espoo, Finland / Berlin, Germany - Department: Platform & Release Engineering - Engineering - Reports to: Infrastructure Engineering Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior DevOps Engineer, you’ll design and operate the core platform foundations that power ICEYE’s products, enabling secure, scalable, and reliable services across cloud and on-prem environments. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, operate, and evolve core platform components including Kubernetes, ingress, service mesh, and secrets management - Build and maintain reusable infrastructure modules using Terraform across AWS and on-prem environments - Define and implement observability standards, including metrics, logs, traces, dashboards, and alerting - Partner with product teams to guide platform adoption and enable scalable, platform-aligned architectures - Automate platform lifecycle processes including provisioning, upgrades, and scaling - Improve platform reliability, performance, and security through continuous iteration - Support and mentor engineers on best practices in Kubernetes, networking, identity, and observability - Reduce operational overhead through tooling, automation, and improved platform abstractions WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of experience in DevOps, SRE, or Platform Engineering roles operating production systems - Strong hands-on experience with Kubernetes, including cluster operations, networking, and lifecycle management - Solid understanding of AWS fundamentals including networking, IAM, compute, and storage - Experience with infrastructure as code using tools such as Terraform - Practical experience with observability, including SLOs, metrics, logs, traces, and alerting - Proficiency in at least one backend language such as Python or Go - Strong Linux systems knowledge and troubleshooting skills - Ability to collaborate across teams and communicate effectively in English NICE TO HAVES: - Experience with Rancher, Istio, External Secrets, or Vault - Experience operating in restricted or air-gapped environments - Experience with identity systems such as FusionAuth or SSO integrations - Experience in regulated or mission-critical environments - Experience with hybrid infrastructure across AWS and on-prem platforms APPLICATION PROCESS - Recruiter interview - Hiring manager interview - Task Assignment - Technical interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Задачи: — Активное участие в развитии платформы — Проектирование инфраструктуры и внедрение продуктивных сервисов — Выявление и устранение проблем, связанных с инфраструктурой — Взаимодействие с командой разработки для улучшения процессов деплоя и тюнинга сервисов — Обеспечение непрерывной работоспособности продуктивных сервисов Требования: — Общий релевантный опыт — от 4 лет — Практические навыки администрирования Linux (в т. ч. BareMetal), систем виртуализации и оркестрации — Уверенная работа с CI/CD‑инструментами — Опыт работы с системами мониторинга и логирования (VM, Grafana Loki) — Развитый навык оперативного решения возникающих проблем — Навыки работы в команде — Уверенное понимание сетей и распределённых систем — Обучаемость — Практический опыт и стремление к автоматизации — Знание Golang Будет плюсом: — Опыт работы с Kafka, Redis, PostgreSQL, Java, Rust — Опыт работы с high load Условия: — Оформление по ТК РФ — График работы: 5/2 — Место работы: Иннополис (предоставляем жильё) — Своевременная выплата заработной платы — 2‑разовое питание — Полный соцпакет: ДМС, абонемент в спорткомплекс/тренажёрный зал

Задачи: — Разработка инструментов автоматизации процессов сборки, тестирования, внедрения — Построение пайплайнов разной сложности — Разработка сервисов интеграции с помощью брокеров сообщений и HTTP запросов — Разработка web-сервисов для пользователей — Поддержка созданных и текущих инструментов и сервисов Требования: — Опыт от 3 лет в DevOps / Platform / Tools development — Опыт работы с Kubernetes (деплой, Helm, базовый troubleshooting) — Опыт разработки на Python (коммерческий, не только скрипты) — Опыт написания Jenkins-пайплайнов (Groovy) — Уверенное знание Linux / bash — Опыт с Docker и Git — Понимание работы Nginx — Понимание брокеров сообщений (Kafka будет плюсом) — Готовность участвовать в разработке веб-сервисов (REST API) — Готовность поддерживать созданные инструменты и сервисы Будет плюсом: — Опыт с OpenShift — Опыт с Go или Java — Опыт с ArgoCD / GitOps — Опыт с Istio — Опыт работы с Jenkins Условия: — Полностью удалённый формат работы (только РФ) — Работа в крупном и стабильном финансовом холдинге — Возможность участвовать в развитии и поддержке сложных инфраструктурных решений

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

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

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

Задачи: — Работа с инфраструктурой Blockchain и AI (биометрия / Computer Vision), ориентированная на практическую работу, а не на технический менеджмент. Требования: — 1+ год опыта с AI-инфраструктурой (биометрия / Computer Vision). — 1+ год работы с Nvidia GPU (Cuda, TensorRT). — 1+ год опыта с Blockchain инфраструктурой. — 1+ год работы с Bare metal Kubernetes. — 6+ лет общий опыт работы в роли DevOps Engineer. — Гражданство РФ или РБ. — Часовой пояс UTC +3. Условия: — Полностью удалённый формат работы, только fulltime, без совмещения, аутсорсинг и аутстаффинг не рассматриваются. — Оформление по ТК РФ после испытательного срока. — 100% оплата больничного. — Оплачиваемый отпуск 28 календарных дней. — Работа в продуктовой компании, аккредитованной в «Минцифре».