CloudOps Engineer

🏢 Summary: Fullstack Engineer role focused on building and shipping data-heavy industrial applications end-to-end, connecting ML outputs and time-series data to customer-facing workflows. The position involves developing React/TypeScript frontends and NestJS/Python backends, integrating data pipelines, and owning performance and reliability in production. The role requires fast iteration, direct customer impact, and strong AI-assisted development practices. 🗂️ Requirements: 4+ years commercial fullstack experience with production users, Strong TypeScript and React expertise, Solid NestJS and Python FastAPI experience, Experience with data-heavy applications and data pipelines, Experience integrating ML outputs into product workflows, Ability to build and ship end-to-end features, Experience setting up monitoring, logs, and alerts, Understanding of data engineering and ML pipelines, Proficiency with AI-assisted development workflows 📃 Skills: TypeScript, React, NestJS, Python, FastAPI, SQL, ETL, Streaming, TimescaleDB, ClickHouse, InfluxDB, GCP, AWS, Azure, IaC, Monitoring, Logging 🏢 Description: Kyper - Fully remote, B2B Kyper is the agentic downtime partner for heavy industry. Mining and oil & gas operators lose millions every hour to unplanned downtime. Our product surfaces ML signals, time-series data, and assembled context to four very different users - technicians on the plant floor, reliability engineers, ops managers, and VPs. None of them have time for clunky software. We need a fullstack engineer who builds that product end-to-end. Don't apply if You only do frontend, or only do backend, and want to keep it that way. You'd rather stay away from databases, pipelines, or anything that smells like data engineering. You have not shipped to production with real users. You have never set up monitoring, logs, or alerts for code you wrote. If you ship it, you watch it. You prefer detailed designs and tickets before you start moving. Your AI tooling stops at chat interfaces and basic IDE autocomplete. You need a fixed 9-to-5. Customers span Japan to Alaska, so we trade strict hours for flexibility on both ends. You want long planning cycles before you write code. We move faster than that. The role You are comfortable with data-heavy applications. You understand how data pipelines and ML systems feed the product, and you can build the layers on top: APIs, services, UI, and the glue between them. You are not afraid of the database, not afraid of the frontend, and you know where the bottlenecks usually hide. What you'll do Build customer-facing features end-to-end: React / TypeScript frontend, NestJS and Python (FastAPI) services on the backend. Wire the product into ML and data pipelines so model outputs become usable workflows. Own performance and reliability for data-intensive views: aggregations, time-series, large object sets. Make pragmatic architectural calls. Refactor when it pays back, leave it alone when it doesn't. Work directly with ML, product, and customers to ship features that actually move metrics. You bring 4+ years of commercial fullstack experience shipping production software with real users. Strong TypeScript / React on the frontend. Solid NestJS and Python (FastAPI) on the backend. We use both, you should be willing to work across them. Proven experience with data-heavy applications: pipelines, ETL, streaming, analytical queries, or ML output integration. Working understanding of how data engineering and machine learning pipelines feed product surfaces. You do not need to be the ML or data engineer, but you do need to speak the language. Bonus Time-series stores (TimescaleDB, ClickHouse, InfluxDB) or columnar warehouses. Industrial / IoT data, operational dashboards, or alerting interfaces. Cloud (GCP, AWS, Azure) and basic IaC. You will fit Kyper if you Are productive with AI code agents and modern AI-assisted development workflows. If you have never built a Claude Code skill or subagent, set up an MCP server, run a personal knowledge system like Obsidian, or chained AI tools into a real workflow, your AI usage is probably too basic for what we need. Move fast, learn fast, and adapt quickly. Can take ideas and POCs all the way to production. This is a must-have skill. Are willing to dive into whatever challenges are needed to get things done. How we work You will ship product that industrial operators use every day, in real plants and mines. Short feedback loops, direct customer contact, and no layers between you and the work. We optimize for shipping and learning. Our customers are world-class at heavy industry. They know their plants, their failure modes, and their operations cold. They are typically not deep on data, software, or computer science. That means the spec you need will not arrive on a silver platter. You will have to read between the lines, ask the right questions, and translate operational reality into product. Fully remote on a B2B contract. Quarterly team co-locations in Warsaw. Customers span Japan to Alaska, so the occasional early or late call comes with the role. The trade is real flexibility on the rest of your time.

🏢 Summary: Responsible for operating, automating, and continuously improving a cloud-native AI platform infrastructure to ensure reliability, scalability, and security of AI-powered applications. The role focuses on Kubernetes operations, migration from Nomad, database and core service management, and building strong observability standards. You enable development teams to deliver production-grade AI services with high operational excellence. 🗂️ Requirements: Strong hands-on experience with Kubernetes in production, Experience operating databases and cloud-native services, Experience with infrastructure automation, Experience with monitoring and observability tools, Ability to manage and migrate workloads from Nomad to Kubernetes, Knowledge of reliability, scalability, and security best practices, Fluent English 📃 Skills: Kubernetes, Nomad, PostgreSQL, ClickHouse, Redis, Qdrant, Dify, Langfuse, Kubeblocks, Cnpg, Automation, Monitoring, Observability, Cloud, AI 🏢 Description: Your mission At VIER, we build and operate AI-powered applications that enable intelligent customer service experiences at scale. As part of our AI Platform Services team, you will take ownership of the reliable operation, scalability, and continuous evolution of our AI infrastructure landscape. Working with modern cloud-native technologies and AI-driven automation, you will help ensure that our applications, services, and Kubernetes environments meet the highest standards for reliability, security, and operational excellence — empowering development teams to deliver production-grade AI solutions with speed and confidence. In this position: You own the reliable day-to-day operation of platform infrastructure services within the AI Business Unit. You drive automation across operational workflows, using modern tooling and AI to improve efficiency, scalability, maintainability, and security. You support and contribute to the migration of internal applications from Nomad to Kubernetes. You collaborate with Infrastructure teams to continuously improve Kubernetes environments. You manage and support core technologies such as Qdrant, PostgreSQL, ClickHouse, Redis, Dify, Langfuse, Kubeblocks, and the Cnpg.io Postgres Operator. You build and improve monitoring, alerting, and operational observability standards. You enable development teams to design, ship, and operate production-grade Kubernetes-ready services. You improve system reliability, scalability, security, and operational excellence across the AI landscape. Your skills You are a pragmatic problem-solver with a strong focus on reliability, quality, security, ownership, and continuous improvement. You have strong hands-on experience with Kubernetes in production environments. You have experience operating databases and cloud-native services. You are familiar with monitoring and observability tools. You bring a strong automation mindset and follow a zero-downtime approach. You are curious and motivated to deeply understand the operational behavior of modern AI technologies. You speak fluent English. Why us? We are a company with flat hierarchies and plenty of freedom to make your own decisions and take ownership of your responsibilities. We offer an engaging and varied role where you can make a difference. We support professional development and training tailored to your needs. Flexible working hours and a trust-based work schedule make it easy to organize your daily work routine. A hybrid work model with three days of remote work. Appreciative interactions and respectful communication in line with our Guiding Principles. Regular and constructive feedback sessions that support your targeted development. We also offer support through our service provider INSITE during difficult life situations (professional or personal). Promotion of a diverse, inclusive corporate culture where all employees have equal opportunities. In addition, we offer a range of other benefits that enrich your daily work life (e.g., mobility allowance, sports programs, events, etc.). You can find more details on our careers page. *Gender-neutral: At our company, it doesn’t matter whether you’re female, male, or non-binary… where you’re from, what your skin color is, or what you believe in. We focus on mutual respect and appreciation, as well as fun and motivation at work. Let your personality shine—with us, you’re at the center of everything we do.

🏢 Summary: The offer is for a senior DevOps/Platform Engineer role focused on building and scaling CI/CD pipelines, cloud infrastructure, and observability solutions to ensure high availability, reliability, and fast software delivery. The position involves working with Kubernetes, cloud platforms, GitOps, and AI-related tooling to support modern, scalable application environments. It requires strong hands-on technical leadership and expertise in automation, infrastructure as code, and monitoring. 🗂️ Requirements: 5+ years of experience with DevOps practices and Continuous Delivery, Hands-on experience with AWS and Azure services, Strong experience with Kubernetes (EKS, AKS) and container orchestration, Proficiency in Terraform and Helm, Experience with GitOps practices (e.g., ArgoCD), Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Strong scripting skills in Bash and PowerShell, Python knowledge, Experience with monitoring and observability tools, Strong networking knowledge, Experience with AI Agents and Claude Code, Experience with FastMCP or other MCP libraries, Knowledge of security best practices (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the European Union 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, Terraform, Helm, ArgoCD, GitLab, GitHub, Python, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, Claude, FastMCP, FluxCD, Harness, Rancher, Keycloak, Networking, GitOps, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: hands-on experience as a tech leader, smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS and Azure services, infrastructure and networking, solid experience with Kubernetes (EKS and AKS) and container orchestration, Python knowledge, strong networking skills, experience in Claude Code, experience in working with AI Agents, experience in FastMCP or other MCP libraries, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: AWS/ Azure certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Harness, experience with Rancher, knowledge of Keycloak. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The offer is for a DevOps Engineer responsible for building and supporting tools, processes, and infrastructure that enable fast, reliable, and scalable software delivery. The role focuses on CI/CD, cloud infrastructure, container orchestration, observability, and integrating AI-powered tools into the software development lifecycle. It involves ensuring high availability, automation, and operational insight across AWS-based environments. 🗂️ Requirements: 3+ years of experience with DevOps practices and Continuous Delivery, Practical experience with AI-powered development assistants, Hands-on experience with AWS services and networking, Experience with Kubernetes and container orchestration, Knowledge of Python, Experience with GitOps practices, Experience with CI/CD pipelines and tooling, Experience with monitoring, logging, and observability tools, Knowledge of Terraform and Helm, Proficiency in Bash and PowerShell scripting, Knowledge of API management tools, Security awareness (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the EU 📃 Skills: AWS, Kubernetes, EKS, Python, GitOps, ArgoCD, Terraform, Helm, Bash, PowerShell, GitLab, GitHub, CI/CD, Prometheus, Grafana, AppDynamics, OpenSearch, Apigee, Tyk, Kiro, OWASP, Encryption 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: mart and tech-savvy engineer with 3+ years of experience working with DevOps practices and Continuous Delivery, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, practical knowledge of AWS services, infrastructure and networking, working experience with Kiro, practical knowledge of Tyk, proficiency in Google Cloud Apigee, experience with Kubernetes (ideally EKS on AWS) and container orchestration, Python knowledge, hands-on with GitOps practices, preferably with ArgoCD, medium skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required. 🟣 Nice to have: Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support.

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.

🏢 Summary: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: Full-time remote DevOps Consultant role focused on designing and maintaining Azure DevOps CI/CD pipelines and managing Kubernetes-based deployments across cloud and on-prem environments. The position involves containerization, automation scripting, database operations in Kubernetes, and implementing secure, monitored deployment workflows. Long-term B2B engagement within an IT services environment. 🗂️ Requirements: Strong experience with CI/CD in Azure DevOps, Proficiency in Kubernetes and Helm, Experience with Docker containerization, Strong Bash scripting skills, Strong Python scripting skills, Experience with Terraform (IaC), Experience managing Postgres in Kubernetes, Experience with Python backend deployment, Understanding of cloud and on-prem deployment models, Experience with Kubernetes monitoring and logging, Knowledge of Kubernetes security best practices, Familiarity with Microsoft Entra ID 📃 Skills: Azure, AzureDevOps, Kubernetes, Helm, Docker, Bash, Python, Terraform, Postgres, CI/CD, YAML, EntraID 🏢 Description: 🌍 Remote work: fully remote. 📑 Assignment type : B2B – max. 140 zl/h. 📕 Project language: English. ⏳ Project length: > 12 months + prolongations. ⏰ Start: ASAP / 1 month. 💻 Workload: full time. ⚙️ Recruitment process : 2 interviews with the client. 💼 Industry : IT Services / Digital Consulting 🔍Additional information: After receiving the offer, a background check is carried out (references, criminal record check, etc.). We are seeking a skilled DevOps Consultant with expertise in modern CI/CD practices, Kubernetes, and automation scripting. The successful candidate will contribute to the design and maintenance of Azure DevOps pipelines and optimize deployment strategies on Kubernetes. A strong foundation in cloud technologies and hands-on experience with containerization and monitoring is essential. Main Responsibilities: Design and maintain Azure DevOps YAML pipelines and build agents. Deploy and operate applications on Kubernetes using Helm charts and manifests. Create and optimize multi-stage Docker images. Build automated workflows around AI-powered services using scripting. Run and manage Postgres and vector databases in Kubernetes. Operate Python backends as part of deployment workflows. Manage portable Kubernetes-based deployments across Azure and on-prem clusters. Set up logging, metrics, and alerting while ensuring best practices in security. Configure Microsoft Entra ID applications for secure access to resources. Key Requirements: Strong experience with CI/CD practices, particularly in Azure DevOps. Proficiency in Kubernetes and Helm for application deployment. Experience in containerization with Docker. Strong scripting skills in Bash and Python. Knowledge of Infrastructure as Code (IaC) using Terraform. Experience managing databases in Kubernetes, specifically Postgres. Familiarity with modern Python backend frameworks and deployment processes. Understanding of cloud and on-prem deployment models. Experience with monitoring, logging, and security best practices in Kubernetes. Familiarity with Microsoft Entra ID and secure access protocols. Nice to Have: Knowledge of frontend build tools like Vite. Experience with Nginx configuration for SPAs. Familiarity with vector databases like Qdrant. Other Details: This position can be performed remotely, providing flexibility in work arrangements. We are looking for candidates passionate about leveraging technology to empower people and enhance operational efficiency.

🏢 Summary: Long-term B2B role focused on building, operating, and improving an enterprise-scale Azure cloud platform with strong emphasis on automation, security, and developer experience. The position involves designing CI/CD pipelines, implementing landing zones and policy-as-code, and integrating cloud services with enterprise systems. Work is hybrid (Warsaw office) with occasional business trips and collaboration in an international environment. 🗂️ Requirements: 3+ years of experience with Microsoft Azure including operations, Strong Infrastructure as Code skills, Knowledge of CAF and Enterprise Scale best practices, Understanding of security and compliance standards, Experience with CI/CD pipelines, Experience with DevOps practices, Experience working in Agile methodologies 📃 Skills: Azure, Bicep, Terraform, CI/CD, DevOps, IaC, CAF, Agile, APIs 🏢 Description: Start : Flexible Contract : B2B, long term cooperation Work model : 3 days from the Warsaw office per week Project language: English/Polish Business trips: to Denmark occasionally Recruitment process: case study + 1 meeting You will play a key role in building, operating, and continuously improving our cloud platform and automation capabilities. Your mission is to enable scalable, secure, and compliant cloud adoption through everything-as-code , strong engineering practices, and deep integration between cloud services and existing enterprise systems. A key focus of the role is to continuously improve platform usability and developer experience . We strive to make the platform intuitive, well-documented, and easy to work with – so development teams can focus on delivering business value rather than dealing with complexity. Responsibilities Design, build, and operate the Enterprise Scale Foundation platform and CI/CD pipelines. Improve platform usability, reliability, and developer experience. Implement and manage Landing Zones, guardrails, and policy-as-code. Develop automation using IaC, APIs, and reusable workflows. Build integrations with enterprise systems (e.g., ITSM, identity, data). Ensure security, compliance, and governance standards are met. Collaborate with teams to drive platform improvements and enable self-service. Requirements 3+ years of experience with Microsoft Azure (including operations). Strong Infrastructure as Code (IaC) skills (Bicep, Terraform) Knowledge of CAF / Enterprise Scale best practices. Understanding of security and compliance (preferably financial sector).Experience Experience with CI/CD, DevOps, and Agile methods. Previous experience with Customer Exeprience.

🏢 Summary: Long-term remote DevOps contract for a large-scale e-commerce logistics platform undergoing API migration using KIRO and spec-driven development. The role focuses on building and maintaining cloud infrastructure, CI/CD pipelines, and API management solutions to ensure scalability, reliability, and fast software delivery. Immediate joiners from Poland, Romania, or Bulgaria are required. 🗂️ Requirements: 3–5 years DevOps experience, Hands-on AWS infrastructure and networking, Experience with KIRO, Tyk, Apigee, Kubernetes experience (EKS preferred), Strong scripting skills, CI/CD pipeline implementation experience, Experience with AI-powered coding assistants, English B2/C1 level, Immediate availability 📃 Skills: AWS, KIRO, Tyk, Apigee, Kubernetes, EKS, Python, Terraform, Helm, ArgoCD, GitLab, GitHubActions, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, CI/CD, Networking 🏢 Description: Dear Consultant, Join a large-scale e-commerce logistics platform supporting millions of parcel transactions weekly , currently undergoing API migration using KIRO (agentic AI, spec-driven development) . Send CV to (marcillina.tietjen@dcvtechnologies.co.uk 📍 Remote (Poland / Romania / Bulgaria) 💼 Contract (Long-term) 🚀 Start: ASAP (Immediate joiners only) You will be: building and supporting the tools, processes and infrastructure empowering faster delivery and scaling of software iterations ensuring availability, reliability and scalability of application infrastructure building and supporting CI/CD and release tools ensuring the right metrics are collected and monitored Tech Stack AWS (DevOps, mid-level) KIRO Tyk.io Google Cloud Apigee Kubernetes (EKS preferred) Python Terraform, Helm ArgoCD (GitOps) CI/CD (GitLab / GitHub Actions) Bash / PowerShell Monitoring: Prometheus, Grafana, AppDynamics, OpenSearch 🎯 Requirements 3–5 years DevOps experience Practical experience with AI-powered assistants (Copilot, Claude, Cursor, etc.) Hands-on AWS infrastructure & networking Experience with Kiro, Tyk, Apigee (MANDATORY) Kubernetes experience (EKS preferred) Strong scripting + CI/CD English B2/C1 ⚠️ Important Immediate availability ONLY Remote role (PL / RO / BG)

🏢 Summary: Long-term B2B opportunity for a Cloud/DevOps/DevSecOps Engineer in a hybrid model, focused on designing and managing Azure cloud infrastructure, CI/CD pipelines, and monitoring solutions. The role involves automation, security integration, and supporting development teams in building scalable and secure cloud-native applications. 🗂️ Requirements: Commercial experience in Cloud/DevOps/DevSecOps roles, Strong knowledge of Microsoft Azure, Strong knowledge of Terraform, Experience designing and maintaining CI/CD pipelines, Experience with GitHub Actions or Azure DevOps, Experience with Docker and containerized environments, Experience with serverless environments, Knowledge of monitoring and observability tools, Scripting skills in Bash, Python, JavaScript, or TypeScript, Understanding of cloud security and DevSecOps practices, Very good English communication skills 📃 Skills: Azure, Terraform, CI/CD, GitHub, AzureDevOps, Docker, Serverless, Datadog, Bash, Python, JavaScript, TypeScript, Cloud, DevSecOps 🏢 Description: Key information Long-term B2B cooperation Hybrid work model (2 days/week from the Wrocław office) Your responsibilities Cloud & Infrastructure Designing, deploying, and managing Azure cloud infrastructure using Terraform (Infrastructure as Code) Managing containerized and serverless workloads in cloud environments Supporting frontend/backend applications and API deployments Designing scalable cloud architectures for modern applications CI/CD & Automation Designing and implementing end-to-end CI/CD pipelines using GitHub Actions and Azure DevOps Creating automation scripts in Bash, Python, JavaScript, and TypeScript Managing DevOps and security tooling across the software development lifecycle Monitoring & Observability Administering and developing Datadog monitoring solutions: Infrastructure monitoring APM RUM dashboards log retention filters Implementing monitoring and logging solutions for cloud-native applications Security & DevSecOps Collaborating with Software Development Managers and Cyber Security teams Integrating security controls into CI/CD pipelines and cloud platforms Promoting secure development practices across engineering teams Collaboration & Coaching Supporting and coaching development teams on Cloud and DevSecOps best practices Helping tech leads with automated testing setup and tooling Working in an international, cross-functional environment using English daily Requirements Commercial experience in Cloud / DevOps / DevSecOps roles Strong hands-on knowledge of: Microsoft Azure Terraform CI/CD pipelines GitHub Actions and/or Azure DevOps Experience with Docker, containers, and serverless environments Knowledge of monitoring and observability tools (preferably Datadog) Scripting/programming skills in Bash, Python, JavaScript, or TypeScript Understanding of cloud security and DevSecOps practices Very good English communication skills Nice to have Experience with Kubernetes Experience working in enterprise or product environments Knowledge of cloud-native architectures and SRE practices Hays Poland sp. z o.o. jest agencją zatrudnienia zarejestrowaną w rejestrze prowadzonym przez Marszałka Województwa Mazowieckiego pod numerem 361.