Platform Engineer

🏢 Summary: 12+ month B2B contract for a remote Platform Engineer to design and operate a Kubernetes-based internal cloud platform enabling reliable deployments for application and data teams. The role focuses on building self-service CI/CD capabilities, ensuring platform reliability, security, and observability, and supporting multi-environment, primarily Azure-based, deployments. 🗂️ Requirements: Strong expertise in Kubernetes (AKS and on-prem), Hands-on experience with CI/CD pipelines, Proficiency in Azure DevOps YAML, Solid understanding of platform reliability, observability, and security, Operational experience in multi-cloud environments, Experience working with Microsoft Azure 📃 Skills: Kubernetes, AKS, Azure, AzureDevOps, YAML, CICD, Observability, Security, Multicloud 🏢 Description: Summary: The Platform Engineer role focuses on building and operating a shared cloud platform to facilitate reliable deployments for application and data teams. This position combines platform engineering expertise with DevOps practices and data-platform exposure, particularly concerning Kubernetes environments. What we offer: Contract Length: 12 months+ prolongation Type of contract: B2B Contract Work Model: Remote Main Responsibilities: Design and operate a Kubernetes-based internal platform for application and data workloads. Provide self-service deployment and runtime capabilities for engineering teams via standardized pipelines and templates. Build and maintain CI/CD pipelines as platform components, primarily using Azure DevOps YAML. Operate and evolve platform integrations for data systems , including Snowflake-based workloads. Ensure platform reliability, observability, and security across environments. Support multi-environment and multi-cloud deployments , primarily in Azure. Own operational aspects of the platform, including troubleshooting, incident response, and continuous improvements. Key Requirements: Kubernetes expertise (AKS and on-prem Kubernetes) Experience with CI/CD pipelines, notably Azure DevOps YAML Strong understanding of platform reliability, observability, and security Operational experience in multi-cloud environments (Azure preference) Nice to Have: Experience with Snowflake Familiarity with AWS/GCP Proficiency with Terraform Knowledge of Bash and Python Experience with AI technologies

🏢 Summary: Design, deploy, and maintain high-availability Azure cloud environments with a strong focus on AKS and Infrastructure as Code using Terraform. The role centers on secure, scalable, and well-monitored Azure infrastructure, including networking, identity, databases, and disaster recovery. You will drive automation and operational excellence across the Azure ecosystem. 🗂️ Requirements: Experience managing Azure Kubernetes Service (AKS) clusters, Proficiency in Infrastructure as Code using Terraform, Experience with YAML and Helm for Kubernetes deployments, Administration of Azure networking components (VNETs, NSGs), Management of Azure VMs, Storage Accounts, and ACR, Implementation of Azure AD (Entra ID) and IAM policies, Administration of Azure SQL and SQL Server environments, Configuration of monitoring with Azure Monitor, App Insights, and Log Analytics, Design and implementation of disaster recovery and backup strategies 📃 Skills: Azure, AKS, Kubernetes, Terraform, YAML, Helm, VNET, NSG, ACR, AzureAD, IAM, AzureSQL, SQLServer, AzureMonitor, AppInsights, LogAnalytics, Velero 🏢 Description: Role Overview We are looking for a highly skilled Azure Cloud & Platform Engineer to join our infrastructure team. In this role, you will be responsible for designing, deploying, and maintaining high-availability cloud environments with a heavy focus on container orchestration ( AKS ) and Infrastructure as Code ( Terraform ). You will ensure that our Azure ecosystem is secure, scalable, and monitored to the highest standards. Key Responsibilities Kubernetes Orchestration: Manage and optimize Azure Kubernetes Services (AKS) , including cluster configuration, scaling, and lifecycle management. Infrastructure as Code (IaC): Develop and maintain automated infrastructure deployments using Terraform , YAML , and Helm charts. Cloud Administration: Oversee core Azure resources including Networking (VNETs, NSGs), Storage Accounts, Azure VMs, and Container Registries (ACR). Security & Identity: Implement and manage Azure Active Directory (Azure AD/Entra ID) and Identity & Access Management (IAM) policies to ensure a "least privilege" environment. Database Management: Administer Azure SQL environments, including SQL Server, individual databases, and Elastic Pools. Observability & Monitoring: Set up and maintain robust monitoring solutions using Azure Monitor, App Insights, and Log Analytics . Disaster Recovery: Design and implement Disaster Recovery (DR) mechanisms and backup strategies (e.g., using Velero ). Technical Documentation: Create and maintain comprehensive documentation for system configurations, architecture setups, and operational procedures. Preferred Skills Experience with Velero for Kubernetes backups. Knowledge of the ELK Stack (ElasticSearch, Logstash, Kibana). Experience with Open Source monitoring tools: Prometheus, Grafana, and Loki . Familiarity with Ansible for configuration management. Exposure to Apache Kafka messaging systems. Candidate Profile The ideal candidate is a proactive engineer who prioritizes automation over manual intervention. You should be comfortable working in a fast-paced environment, taking ownership of cloud resources, and ensuring that all solutions are documented and resilient. Your approach should combine technical depth in Azure with a broader understanding of DevOps best practices.

🏢 Summary: The role involves designing, building, and operating scalable and secure Azure Kubernetes Service (AKS) platforms with a strong focus on cloud-native technologies, automation, and GitOps. The engineer will manage containerized workloads, implement autoscaling and observability solutions, and define infrastructure as code in production Azure environments. This position emphasizes platform security, CI/CD, and support for advanced workloads including GPU-based deployments. 🗂️ Requirements: Strong hands-on experience with Kubernetes in production environments, Experience with Azure Kubernetes Service (AKS), Advanced knowledge of Docker and containerization, Experience implementing autoscaling with KEDA, Proficiency in Helm, Experience with Azure services (AKS, ACR, Key Vault, Managed Identities, Azure Monitor), Experience building CI/CD pipelines, Experience implementing GitOps workflows (Flux or Argo CD), Experience with Infrastructure as Code (Terraform, Bicep, or ARM), Experience with observability tools (Prometheus, Grafana, OpenTelemetry), Strong scripting skills (Bash or Python), Understanding of Kubernetes security best practices 📃 Skills: Kubernetes, AKS, Docker, KEDA, Helm, Azure, ACR, KeyVault, ManagedIdentities, AzureMonitor, AzureDevOps, GitLab, Flux, ArgoCD, Terraform, Bicep, ARM, Prometheus, Grafana, OpenTelemetry, Bash, Python, PowerShell, GitOps, RBAC, NVIDIA, GPU 🏢 Description: Azure Kubernetes Platform Engineer We are seeking a skilled Azure Kubernetes Platform Engineer to design, build, and operate scalable, secure, and high-performance Kubernetes platforms on Azure. This role is ideal for someone passionate about cloud-native technologies, platform engineering, and enabling teams through robust infrastructure and automation. Key Responsibilities Design, deploy, and manage production-grade platforms on Azure Kubernetes Service (AKS). Build and optimize containerized workloads using Docker, ensuring efficiency and security. Implement event-driven autoscaling solutions using KEDA. Develop and maintain reusable Helm charts to support scalable application deployments. Manage and integrate Azure services such as ACR, Key Vault, Managed Identities, and Azure Monitor. Build and maintain CI/CD pipelines using Azure DevOps or GitLab CI, with a strong focus on GitOps practices (Flux or Argo CD). Support GPU-based workloads, including configuration of NVIDIA device plugins and GPU node pools. Implement robust observability solutions using Prometheus, Grafana, and OpenTelemetry. Ensure platform security through Kubernetes best practices, including RBAC, workload identity, and non-root containers. Define and manage infrastructure using Terraform, Bicep, or ARM templates. Core Skills & Experience Strong hands-on experience with Kubernetes, particularly Azure Kubernetes Service (AKS), in production environments. Advanced knowledge of containerization and Docker best practices. Experience implementing autoscaling using KEDA (ScaledObjects and ScaledJobs). Proficiency in Helm for packaging and deploying applications. Solid experience across the Azure ecosystem (AKS, ACR, Key Vault, Managed Identities, Azure Monitor). Experience building CI/CD pipelines and implementing GitOps workflows. Familiarity with GPU workloads in Kubernetes environments. Strong scripting skills in Bash and Python (PowerShell beneficial). Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry). Understanding of Kubernetes security and Infrastructure as Code principles. Nice to Have Advanced KEDA scaling patterns (e.g., Azure Service Bus, Prometheus metrics, cron-based scaling). Experience with Python-based machine learning workloads and modern packaging tools (uv, pyproject.toml, tox). Knowledge of PostgreSQL and Redis in highly available containerized environments. Experience with Java / Spring Boot microservices. Familiarity with workflow orchestration tools such as Temporal, Ray, or Argo Workflows. Exposure to WASM/WASI workloads on Kubernetes. FinOps experience in multi-team Kubernetes environments. Relevant certifications (e.g., CKA, CKAD, CKS, AZ-104, AZ-400, AZ-305). Why Join Us? Work on cutting-edge cloud-native and Kubernetes technologies. Build platforms that empower engineering teams at scale. Collaborate in a highly technical, forward-thinking environment.

🏢 Summary: The offer is for a Platform Engineer to build and operate an Internal Developer Platform that enables self-service capabilities, deployment automation, and standardized software delivery. The role focuses on designing scalable platform components, implementing CI/CD and GitOps workflows, and enhancing developer experience across engineering teams. It involves driving cloud-native infrastructure, automation, and observability practices to accelerate application development. 🗂️ Requirements: 3–7+ years in Platform Engineering, DevOps, SRE, or Software Engineering, Hands-on experience with Kubernetes and Docker, Experience with Infrastructure as Code using Terraform, Experience building CI/CD pipelines, Experience with GitOps deployment processes, Programming skills in Go, Python, or Java, Experience with developer portals and service catalogs, Understanding of cloud-native architectures and automation principles, Polish language proficiency, English C1+ proficiency 📃 Skills: Kubernetes, Docker, Terraform, CI/CD, GitOps, Helm, ArgoCD, Go, Python, Java, Backstage, OpenTelemetry, Prometheus, Grafana, AWS, Azure, GCP 🏢 Description: Role Overview We are looking for a Platform Engineer to help build and operate an Internal Developer Platform (IDP) that empowers engineering and scientific teams through self-service capabilities, infrastructure abstraction, and deployment automation. In this role, you will be responsible for creating a scalable and developer-friendly platform that simplifies software delivery, standardizes engineering practices, and accelerates application development across the organization. You will work closely with development teams to improve developer experience, streamline onboarding, and provide reusable tools, templates, and deployment patterns. Key Responsibilities Design, develop, and maintain core Internal Developer Platform components, including developer portals, service catalogs, and service templates. Build and manage CI/CD pipelines, GitOps workflows, and deployment automation using Kubernetes, Helm, and ArgoCD. Develop and maintain reusable SDKs, templates, and “golden paths” that enable teams to rapidly deploy and operate services. Integrate observability, monitoring, and distributed tracing capabilities into platform services using tools such as OpenTelemetry, Prometheus, and Grafana. Partner with engineering teams to onboard applications and continuously improve the developer experience. Drive platform standardization, automation, and best practices across the software development lifecycle. Contribute to the evolution of cloud-native infrastructure and self-service engineering capabilities. Requirements 3–7+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or Software Engineering. Strong hands-on experience with Kubernetes, Docker, and containerized environments. Solid knowledge of Infrastructure as Code, particularly Terraform. Experience building and maintaining CI/CD pipelines and GitOps-based deployment processes. Programming experience in Go, Python, or Java. Experience with developer portals, service catalogs, and self-service engineering platforms. Strong understanding of cloud-native architectures, automation, scalability, and reliability principles. Able to speak Polish and Engilsh C1+ Nice to Have Experience with Backstage or similar Internal Developer Platform solutions. Knowledge of observability and monitoring tools such as OpenTelemetry, Prometheus, and Grafana. Experience working with public cloud platforms (AWS, Azure, or GCP). Experience supporting large-scale engineering organizations and improving developer productivity.

🏢 Summary: Backend engineering role focused on designing, building, and operating scalable, event-driven services on Microsoft Azure. The position covers full ownership of backend systems, including architecture, infrastructure as code, container orchestration, CI/CD automation, and data management. It emphasizes microservices, distributed systems, and cloud-native DevOps practices. 🗂️ Requirements: Extensive experience in backend development with C# and .NET, Strong practical knowledge of Microsoft Azure core services, Hands-on experience with AKS and APIM, Experience with distributed messaging systems (Azure Service Bus or Kafka), Proven experience with microservices and distributed systems, Experience with relational and NoSQL databases, Hands-on experience with CI/CD automation tools, Practical experience with Terraform and Infrastructure as Code 📃 Skills: C#, .NET, Azure, AKS, APIM, Kafka, ServiceBus, Terraform, Kubernetes, CI/CD, SQL, CosmosDB, Microservices, AppInsights, LogAnalytics 🏢 Description: Key Responsibilities: End-to-End Product Engineering: Own the entire lifecycle of backend services and APIs—from initial architecture design and coding to comprehensive testing and production deployment. Event-Driven Ecosystems: Architect and maintain highly scalable, asynchronous solutions on Microsoft Azure , utilizing Azure Service Bus or Kafka for robust messaging. Infrastructure as Code (IaC): Orchestrate and manage cloud environments using Terraform , ensuring all infrastructure aligns with enterprise security and performance benchmarks. Container Orchestration: Deploy and fine-tune containerized workloads within Azure Kubernetes Service (AKS) environments. DevOps Ownership: Drive the automation of build, test, and release cycles, taking full accountability for the CI/CD pipelines of your assigned services. Data Persistence & Management: Design efficient data storage strategies (SQL, Cosmos DB, Storage) and expose secure, high-performance interfaces through Azure API Management (APIM) . Strategic Collaboration: Partner with architects and platform teams to monitor system health via App Insights/Log Analytics, ensuring continuous reliability and optimization. Required Skills & Experience: Technical Mastery: Extensive professional experience in backend development using C# and the .NET ecosystem . Cloud Expertise: Deep practical knowledge of Microsoft Azure core services, specifically AKS, APIM, and distributed messaging platforms. Architectural Literacy: Proven ability to work with Microservices and distributed systems, including sophisticated data modeling in both relational and NoSQL databases. DevOps Mindset: Hands-on proficiency with CI/CD automation tools and a strong commitment to Infrastructure as Code (Terraform) . Agile Adaptability: Experience thriving in fast-paced, iterative delivery teams with a focus on solving complex technical challenges. Impactful Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders while adhering to best practices in documentation.

🏢 Summary: This role focuses on building and improving internal developer platforms to enable fast, secure, and scalable onboarding of services and data pipelines. It involves creating and maintaining developer portals, service catalogs, reusable deployment templates, and implementing standardized CI/CD and GitOps workflows. The position also integrates observability, resilience patterns, and automated SDK generation into shared platform components. 🗂️ Requirements: Strong experience with Kubernetes, Strong experience with Docker, Strong experience with GitOps, Strong experience with CI/CD pipelines, Proficiency in Go or Python, Experience with developer portals, Experience with service catalogs, Experience with SDK generation pipelines, Familiarity with Azure Kubernetes Service (AKS), Familiarity with Azure DevOps or GitHub Actions, Familiarity with Terraform or Bicep 📃 Skills: Kubernetes, Docker, GitOps, CI/CD, Go, Python, ArgoCD, Flux, OpenTelemetry, AKS, Azure, AzureDevOps, GitHubActions, Terraform, Bicep 🏢 Description: Core purpose: The goal of this role is to enhance developer experience and platform tooling, enabling fast, secure, and scalable onboarding of services and data pipelines. Key responsibilities: Build and maintain a developer portal, service catalog, and reusable deployment templates, including automated SDK generation from schema definitions. Implement CI/CD standards, GitOps workflows (ArgoCD/Flux), and deployment strategies such as canary and A/B releases. Integrate observability and distributed tracing (OpenTelemetry) into platform libraries and shared components. Provide reusable resilience primitives (retries, circuit breakers, flow control) within shared platform libraries. Requirements: Strong experience with Kubernetes, Docker, GitOps, and CI/CD pipelines. Proficiency in Go or Python for platform engineering and tooling development. Experience with developer portals, service catalogs, and SDK generation pipelines. Familiarity with Azure Kubernetes Service (AKS), Azure DevOps or GitHub Actions, and Terraform/Bicep

🏢 Summary: The offer is for a Platform Engineer to design, build, and support custom web applications and cloud infrastructure across AWS, Azure, CoreWeave, and on-prem environments. The role focuses on Infrastructure-as-Code, API integration, and ensuring system reliability and performance for technical users. It combines platform engineering, DevOps, and full-stack collaboration in enterprise environments. 🗂️ Requirements: 2+ years in platform engineering or DevOps-focused role, Experience with Linux administration, Proficiency in Python, Experience with Docker and Kubernetes, Experience with Terraform for Infrastructure-as-Code, Knowledge of modern JavaScript frameworks, Experience with AWS or Azure, Ability to design and maintain cloud infrastructure, Experience working with APIs and datasets 📃 Skills: Linux, Python, Docker, Kubernetes, Terraform, AWS, Azure, CoreWeave, JavaScript, React, Node.js, AWSCDK, APIs, DevOps 🏢 Description: THE WORK As a Platform Engineer, you will design, build, and support custom web applications running across enterprise environments such as AWS, Azure, CoreWeave, and on-prem infrastructure. You’ll support users in working with APIs and datasets, helping them configure, optimize, and operate these systems effectively. The role also includes designing and maintaining cloud infrastructure using Infrastructure-as-Code tools like Terraform and AWS CDK. You’ll collaborate with highly technical users, so clear communication and strong Linux skills are essential for troubleshooting, performance tuning, and ensuring system reliability. HERE’S WHAT YOU NEED Around 2+ years of experience in platform engineering or a similar development/DevOps-focused role Solid experience working with modern infrastructure and development stacks, including Linux, Python, Docker/Kubernetes, DevOps practices, and modern JavaScript frameworks (e.g. React or Node.js) Hands-on experience with Infrastructure-as-Code tools such as Terraform Strong problem-solving skills and ability to communicate complex technical topics clearly BONUS POINTS Experience with AI / LLMs or High-Performance Computing (HPC) Background in Data Engineering or Data Science Strong Linux expertise, including deeper OS-level understanding Experience with AWS services Building or supporting full-stack applications using cloud APIs

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Senior Azure DevOps Engineer role focused on building and operating large-scale Azure cloud platforms with strong emphasis on CI/CD, infrastructure automation, networking, and security. The position involves designing secure, scalable Azure environments and supporting enterprise-grade diagnostics platforms. You will collaborate across teams to deliver reliable, production-ready cloud solutions. 🗂️ Requirements: Completed degree in Computer Science or related technical field, 5+ years experience in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure core services, Proven experience with CI/CD pipelines using Azure DevOps, Experience with Infrastructure as Code using Bicep, Terraform, or ARM, Strong knowledge of Azure networking: DNS, Private Link, VPN, routing, Experience with Docker and Kubernetes or Azure App Services, Hands-on experience with Application Insights, Log Analytics, and KQL, Strong scripting skills in PowerShell or Bash, Fluent English and Polish 📃 Skills: Azure, DevOps, Bicep, Terraform, ARM, YAML, Docker, Kubernetes, DNS, VPN, PrivateLink, PowerShell, Bash, ApplicationInsights, LogAnalytics, KQL, AppServices, ManagedIdentities 🏢 Description: Responsibilities We are looking for a Senior Azure DevOps Engineer who wants to work on l arge-scale cloud platforms combining DevOps , networking , and security in an enterprise environment. You will support and evolve a complex Azure-based diagnostics platform , working across infrastructure automation, connectivity , and security topics. You collaborate closely with development teams, customers, and vendors to ensure reliable, secure, and production-ready solutions. Your key responsibilities include: Design and maintain CI/CD pipelines using Azure DevOps and YAML to enable reliable and automated deployments. Develop and manage Infrastructure as Code using Bicep and Azure-native services for scalable cloud environments. Operate and optimize Azure platforms , ensuring performance, cost efficiency, and high availability across services. Design and support Azure networking solutions including DNS , Private Endpoints , Private Link , and VPN connectivity. Implement secure cloud architectures using managed identities , least-privilege access , and secure integration patterns. Monitor platform health using Application Insights, Log Analytics , and observability tooling while supporting incident response. Collaborate with developers , customers , and vendors to integrate applications, coordinate changes, and resolve complex issues. Drive security , compliance , and continuous improvement initiatives while acting as a technical advisor across cloud and infrastructure topics. Qualifications Completed university degree in Computer Science or a comparable technical field. 5+ years of experience in DevOps , Cloud Engineering, Platform Engineering , or similar roles. Strong hands-on experience with Microsoft Azure and core services including networking , compute , storage , and identity . Proven experience designing CI/CD pipelines using Azure DevOps and working with Infrastructure as Code ( Bicep , Terraform , or ARM ). Strong understanding of Azure networking concepts including DNS , Private Link , VPN , routing, and enterprise connectivity. Experience with containerization and deployment patterns using Docker and cloud-native services such as App Services or Kubernetes. Hands-on experience with monitoring and observability tools including Application Insights , Log Analytics , and KQL . Strong scripting and automation skills using PowerShell and/or Bash . Excellent communication and stakeholder management skills with fluent English and Polish . Nice to have: Experience with .NET applications and Azure Functions . Experience supporting enterprise - scale cloud migrations . Knowledge of Grafana and advanced monitoring solutions. Experience in regulated or security - sensitive environments. German language skills. About Cluster Reply Cluster Reply is the Reply Group company specializing in consulting and system integration of Microsoft technologies. As a Microsoft partner, Cluster Reply is active in Germany, Austria and Switzerland and works within the Reply network with sister companies in Brazil, Great Britain, Italy as well as the USA. The company focuses on innovation and supports customers in their digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure as well as data and artificial intelligence.

🏢 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!