Senior Kubernetes Platform Engineer

🏢 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: Platform Engineer role focused on building a cloud-agnostic infrastructure and CI/CD platform across Azure and on-prem environments. The position centers on migrating from Azure DevOps to GitLab CI/CD, standardizing Infrastructure-as-Code with OpenTofu, and automating hybrid infrastructure at enterprise scale. You will design, deploy, and operate reusable IaC modules and self-hosted GitLab infrastructure. 🗂️ Requirements: 6–8+ years in Platform Engineering or DevOps, Strong hands-on experience with OpenTofu or Terraform, Deep experience designing and operating GitLab CI/CD pipelines, Proven experience migrating from Azure DevOps to GitLab, Strong Linux administration skills, Solid understanding of networking fundamentals, Solid understanding of security fundamentals, Strong knowledge of Kubernetes fundamentals, Experience managing Infrastructure-as-Code at enterprise scale, Experience automating provisioning in hybrid cloud environments 📃 Skills: OpenTofu, Terraform, GitLab, AzureDevOps, Azure, Kubernetes, Linux, PowerShell, Ansible, DotNet, Networking, Security, CICD, IaC, Firewalls, LoadBalancers 🏢 Description: Tech stack: OpenTofu / Terraform GitLab CI/CD (self‑hosted) Azure, on‑prem infrastructure Azure DevOps (migration source) Linux Kubernetes PowerShell Requirements: 6–8+ years of experience in Platform Engineering or DevOps roles Strong hands‑on experience with OpenTofu / Terraform Deep experience designing and operating GitLab CI/CD pipelines Experience migrating Azure DevOps to GitLab Strong Linux background Solid understanding of networking, security, and Kubernetes fundamentals Experience managing IaC at enterprise scale Automation‑first mindset and operational approach Nice to have: .NET application modernization and containerization experience Ansible for configuration management and golden images Load balancer and firewall automation experience Experienced in using AI tools in day-to-day workflow Project description: You will be part of the core engineering team responsible for building a cloud‑agnostic infrastructure and CI/CD platform. The project focuses on standardizing Infrastructure‑as‑Code, migrating from Azure DevOps to GitLab, and enabling consistent deployments across Azure and on‑prem environments. Main responsibilities: Migrate Azure DevOps pipelines to GitLab CI/CD Rewrite existing IaC templates to OpenTofu Build reusable IaC modules Deploy and operate self‑hosted GitLab infrastructure Automate provisioning across hybrid environments Collaborate with Kubernetes and architecture teams

🏢 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: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: The role focuses on building, automating, and optimizing cloud infrastructure and CI/CD processes in AWS or GCP environments. You will work hands-on with Kubernetes and modern DevOps tools to ensure scalable, secure, and reliable software delivery. The position involves close collaboration with engineering teams to enhance infrastructure and deployment practices. 🗂️ Requirements: Proven experience in Infrastructure Engineering, DevOps, SRE, or Backend Development, Strong expertise in Kubernetes (cluster management and application deployment), Strong knowledge of CI/CD principles, Practical experience with CI/CD tools, Willingness to work with GitHub Actions, Experience with cloud platforms (AWS or GCP) 📃 Skills: Kubernetes, Terraform, Helm, ArgoCD, AWS, GCP, GitHubActions, CICD 🏢 Description: Responsibilities: ● Work hands-on with modern tools such as Kubernetes, Terraform, Helm, and ArgoCD. ● Develop and continuously enhance internal cloud infrastructure across AWS or GCP ● Design, maintain, and optimize CI/CD pipelines using GitHub Actions to ensure reliable and efficient software delivery. ● Collaborate closely with engineering teams to understand their requirements, resolve issues, and drive automation and scalability initiatives. ● Advocate for and implement best practices in infrastructure, deployment processes, and cloud security across the organization. Requirements: ● Proven experience in infrastructure engineering, DevOps, Site Reliability Engineering (SRE), or backend development. ● In-depth expertise in Kubernetes—including both cluster management and application deployment. ● Strong understanding of CI/CD principles and practical experience with any CI/CD tools (willingness to work with GitHub Actions is essential). ● Proactive and ownership-driven mindset with strong problem-solving abilities. ● Excellent communication skills and a collaborative approach in cross-functional teams. Nice to Have: ● Experience managing OpenShift environments. ● Familiarity with Java and Gradle build systems. ● Awareness of security best practices in cloud-native and containerized environments. Working mode: ● One day per week in the office (Warsaw center) ● Additional 20 days of holidays per year

🏢 Summary: The offer is for a senior Cloud & DevOps professional responsible for designing and deploying scalable cloud-native applications and critical infrastructure. The role focuses on driving CI/CD automation, improving cloud architecture, and ensuring security and quality standards across delivery pipelines. It also involves mentoring teams and leading cloud adoption initiatives in an Agile environment. 🗂️ Requirements: Minimum 5 years experience in cloud-focused or DevOps role, Hands-on experience with Kubernetes, Docker, Terraform, Experience with at least one cloud provider (AWS/Azure/GCP/IBM), Strong knowledge of Jenkins, Ansible, ArgoCD, GitLab, Ability to design and manage CI/CD pipelines, Understanding of RESTful APIs, data quality, security protocols, Experience working with Agile methodologies (SCRUM/Kanban), Familiarity with JIRA and Confluence, Professional English communication skills 📃 Skills: Kubernetes, Docker, Terraform, AWS, Azure, GCP, IBM, Jenkins, Ansible, ArgoCD, GitLab, REST, SQL, PostgreSQL, SQLServer, Python, JavaScript, SpringBoot, Nuxt.js, Vue, JIRA, Confluence 🏢 Description: Responsibilities Design, deploy, and assess scalable native cloud applications and critical infrastructure components. Drive the evolution of CI/CD processes and build/deployment pipelines using Jenkins, Docker, Kubernetes, and GitLab . Consult and collaborate with cross-functional IT teams on cloud architecture, optimization, and security standards. Lead the implementation of test strategies and best practices to ensure high-quality delivery within automated pipelines. Support and mentor delivery teams in adopting new cloud initiatives, ensuring alignment with company security policies. Requirements Minimum 5 years of experience in a similar cloud-focused role with a strong problem-solving mindset. Expertise in Cloud & DevOps tools : Hands-on experience with Kubernetes, Docker, Terraform , and at least one major provider (AWS/Azure/GCP/IBM). Advanced CI/CD proficiency : Strong knowledge of Jenkins, Ansible, ArgoCD , and GitLab version control. Deep understanding of IT Architecture : Proven ability to handle RESTful APIs, Data Quality, and Security protocols. Strong Communication & Leadership : Ability to engage with stakeholders (IT, Business, Clients) in English (written and oral). Agile Mindset : Familiarity with SCRUM/Kanban and tools like JIRA/Confluence. Technical Versatility (Nice to have) : Proficiency in Python, JavaScript and experience with frameworks like SpringBoot or Nuxt.js/VUE . Data Management : Basic knowledge of SQL Server or PostgreSQL.

🏢 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 Principal DevOps Engineer to design, build, and operate scalable, secure, and highly available cloud infrastructure on Google Cloud Platform. The role focuses on Kubernetes operations, Infrastructure as Code with Terraform, observability, and CI/CD automation. You will shape cloud architecture, improve reliability, and drive operational excellence across production environments. 🗂️ Requirements: 8+ years of DevOps or Cloud Engineering experience, Hands-on production experience with Kubernetes, Strong experience with Terraform and Infrastructure as Code, Practical experience with GCP services (GKE, Cloud SQL, Pub/Sub, Cloud Run), Strong knowledge of Linux systems, Solid understanding of networking fundamentals, Experience with CI/CD pipelines, Experience supporting cloud-based production environments, Experience with Kubernetes networking, RBAC, scaling, Helm, Participation in on-call rotation 📃 Skills: GCP, GKE, Terraform, Kubernetes, Helm, CloudSQL, PubSub, CloudRun, BigQuery, Linux, Networking, CI/CD, GitLabCI, Grafana, Prometheus, OpenTelemetry, IAM 🏢 Description: We are looking for a Principal DevOps Engineer with strong experience in Google Cloud Platform (GCP) to join our growing Platform Engineering team. In this role, you will work closely with engineering and infrastructure teams to design, build, and operate scalable, secure, and highly available cloud environments. You will play a key role in shaping our cloud architecture, improving reliability, and driving automation across the organization. Technology stack: Google Cloud Platform (GCP) GKE (Google Kubernetes Engine) Cloud SQL, Pub/Sub, Cloud Run Terraform (Infrastructure as Code) Kubernetes, Helm CI/CD pipelines (GitLab CI preferred) Observability stack (Grafana, Prometheus, OpenTelemetry) BigQuery Responsibilities: Design, implement, and maintain scalable cloud infrastructure on GCP using Terraform Operate and optimize Kubernetes clusters (GKE) with a strong focus on reliability, scalability, and security Build and evolve observability solutions (metrics, logs, traces, alerting) Manage and optimize GCP native services and cost efficiency Automate infrastructure and operational processes to improve resilience and reduce manual effort Define and enforce Infrastructure as Code standards (modules, state management, CI/CD integration) Collaborate with development teams on architecture, performance, and deployment strategies Participate in incident response, postmortems, and continuous improvement initiatives Participate in a periodic on-call rotation Requirements: 8+ years of experience in DevOps / Cloud Engineering Hands-on experience running Kubernetes in production environments (networking, RBAC, scaling, Helm deployments) Strong experience with Terraform and Infrastructure as Code best practices Practical experience with GCP services (GKE, Cloud SQL, Pub/Sub, Cloud Run) Solid understanding of Linux systems and networking fundamentals Experience working with CI/CD pipelines Strong communication skills and ability to work in cross-functional teams Experience supporting cloud-based applications in production environments Nice to have: Experience with AWS Experience with Cloudflare Experience with GitLab Familiarity with SonarQube Experience with security tooling and compliance (e.g., IAM, vulnerability management) What We Offer: Vacation days: Up to 26 days per year. Health and life insurance Up to 30 days of sick leave Birthday day off Sport cards Flexible workplace: work from the office, from home, or choose a hybrid option Real impact on architecture and technology decisions

🏢 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!