Platform Engineer

🏢 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: Platform Engineer role focused on designing, building, and maintaining Azure-based cloud infrastructure, Kubernetes clusters, and shared CI/CD pipelines. The position centers on Azure DevOps pipeline templates, Infrastructure as Code with Terraform, and automation for .NET application deployments. The role ensures secure, standardized, and reliable platform operations across environments. 🗂️ Requirements: Hands-on experience with Azure Kubernetes Service (AKS) configuration and operations, Strong knowledge of CI/CD principles and GitFlow branching strategy, Experience building and maintaining Azure DevOps YAML pipelines, Proficiency in PowerShell Core 7+ scripting and module development, Experience with Terraform modules and state management, Experience with Azure services (Key Vault, ACR, Service Bus, SQL Database, Storage, Managed Identities, RBAC), Knowledge of .NET build and containerization processes, Understanding of Azure networking (VNets, NSGs, private endpoints, DNS, ingress), Experience managing multi-stage deployment pipelines, Ability to design and maintain Infrastructure as Code solutions 📃 Skills: Azure, AKS, AzureDevOps, YAML, Terraform, PowerShell, Kubernetes, Helm, Docker, ACR, .NET, NuGet, SQL, DACPAC, ServiceBus, KeyVault, RBAC, ManagedIdentities, VNets, NSG, DNS, OpenShift, SonarQube, Keycloak, AzureCLI 🏢 Description: About the Role The Platform Engineer is a key member of the Platform Team, responsible for enabling development, deployment, and operation of applications across the organization. You will design, build, and maintain the shared foundations — pipelines, infrastructure, and tooling — that development teams rely on to ship software faster, more securely, and more reliably. You will own and evolve a shared Azure DevOps pipeline template library consumed by all application teams, manage Azure Kubernetes Service (AKS) clusters (including confidential compute), and automate infrastructure provisioning using Infrastructure as Code. Key Responsibilities Platform Engineering & Infrastructure Design, build, and maintain Azure Kubernetes Service (AKS) clusters — both private and public — including node pool configuration, networking, ingress, autoscaling, and confidential compute workloads. Manage and evolve the Azure cloud platform: subscriptions, resource groups, Key Vault, Azure Container Registry, Service Bus, Storage Accounts, and SQL databases. Operate and support OpenShift environments where applicable. Ensure platform security, reliability, and compliance with organizational standards (network policies, managed identities, TLS, RBAC). CI/CD Pipeline Development & Maintenance Develop and maintain shared, reusable CI/CD pipeline templates (YAML) in Azure DevOps, consumed by all application repositories across the organization. Build and optimize multi-stage deployment pipelines covering build, test, package, and deploy for .NET 8 applications, including container image builds (Docker/ACR), database deployments (DACPAC/sqlpackage), and Service Bus provisioning. Author and maintain PowerShell Core 7+ modules and scripts that drive pipeline logic — configuration generation, deployment map parsing, secret retrieval, Terraform variable construction, and Helm-based deployments. Ensure pipelines enforce security, quality gates (SonarQube), and environment promotion controls (DEV → TST → VAL → Manual Gate → PRD). Standardize deployment patterns so all project teams follow consistent, auditable release workflows. Infrastructure as Code (IaC) Design, author, and maintain Terraform modules for provisioning and configuring Azure resources: AKS workloads (via Helm provider), Keycloak identity clients, SQL users, managed identities, Key Vault HSM keys, and Service Bus RBAC. Automate provisioning, scaling, and lifecycle management of infrastructure resources using Terraform, Azure CLI, and PowerShell. Manage Terraform state (Azure Storage backend with AAD auth) and ensure safe, repeatable deployments across environments. Repository & Azure DevOps Administration Administer the shared Common/devops repository and associated deployment configuration repositories. Support version control practices, branching strategy (GitFlow: DEV/MAIN/hotfix), and PR validation workflows. Manage Azure DevOps service connections, agent pools, variable groups, and environment approvals. Collaboration & Enablement Serve as the bridge between infrastructure and application development teams, helping them integrate platform capabilities into their workflows. Provide guidance and support on platform standards, deployment map configuration, pipeline extension patterns, and troubleshooting. Write and maintain documentation (README, schema references, onboarding guides) for consuming teams. Review contributions to shared platform code for architectural consistency and backward compatibility. Key Requirements - Hands-on experience operating and configuring Azure Kubernetes Service — networking, ingress, node pools, autoscaling, confidential compute, Helm chart deployments. - Strong understanding of CI/CD principles, GitFlow branching, environment promotion, and deployment automation. - Familiarity with .NET 10 build toolchain (dotnet build), NuGet, solution/project structure, and containerizing .NET applications. - Proficiency in PowerShell Core 7+ — writing modules (.psm1), classes, Pester 5+ tests, and robust scripting with proper error handling. - Broad experience with Azure services: Key Vault, Container Registry, Service Bus, Storage Accounts, SQL Database, Managed Identities, RBAC. - Understanding of cloud architecture principles — scalability, high availability, security, cost management. - Experience with Azure DevOps (TFS) — YAML pipelines, extends templates, repositories, service connections, agent pools, artifacts. - Ability to author and maintain multi-stage YAML pipeline templates with parameterization, conditions, and template composition. - Experience writing and maintaining Terraform configurations — modules, providers (azurerm, helm, keycloak, mssql, kubernetes), state management, plan/apply workflows. - Understanding of network concepts relevant to AKS and Azure — VNets, NSGs, private endpoints, DNS, ingress controllers, proxy configuration. - Ability to reason about system architecture — separation of concerns, shared platform design, module boundaries, and extensibility. Nice to Have - Experience with Keycloak or OpenID Connect identity management. - Familiarity with Docker and container image build optimization. - Knowledge of database deployment automation (DACPAC, sqlpackage). - Experience with SonarQube or similar code quality tooling. - Familiarity with confidential computing on Azure. - Experience with OpenShift container platform.

🏢 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: 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: 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: Role focused on designing and standardizing CI/CD architecture across multiple teams while enhancing a Kubernetes-based developer platform. The position involves building automation tools, improving deployment processes, and leading SCM and CI/CD migrations. It is suited for someone who enjoys creating scalable engineering solutions rather than only maintaining existing systems. 🗂️ Requirements: Experience designing CI/CD pipelines across multiple projects, Knowledge of Kubernetes and containerization, Hands-on automation experience in Python or Bash, Experience troubleshooting systems beyond pipeline-level issues, Ability to collaborate with development teams on technical solutions 📃 Skills: Kubernetes, CI/CD, Python, Bash, Docker, Git, SCM, Automation, DevSecOps, IAM, Artifact, Pipelines 🏢 Description: We are looking for someone to help us develop our developer platform and establish CI/CD standards across multiple teams. This role is for someone who enjoys designing solutions , not just maintaining them. Responsibilities include: Designing and develop CI/CD architecture Standardizing pipelines and deployment processes Enhancing the Kubernetes platform (deployment patterns, automation) Buildning tools to automate developer processes (Python) Designing artifact repository structures and versioning strategies Leadinging or co-lead SCM / CI/CD migrations Collaborating with development teams as a technical partner What we expect Experience designing  CI/CD pipelines across multiple projects Knowledge of Kubernetes and containerization Hands-on automation experience in Python or Bash Experience troubleshooting systems beyond pipeline-level issues Ability to communicate technical concepts effectively with teams A strong plus for: Experience migrating developer platforms (Git / CI/CD / artifact storage) Experience in DevSecOps / IAM Experience building internal developer platforms (platform engineering)

🏢 Summary: Design and deliver production-grade Kubernetes platforms across Azure (AKS) and on-prem environments for critical in-house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. You will architect, deploy, and migrate Kubernetes workloads while defining networking, storage, and security standards. 🗂️ Requirements: 6–8+ years of experience with Linux and container platforms, Deep expertise in Kubernetes (managed and on-prem), Strong understanding of cloud-native architectures, Experience designing Kubernetes networking, storage, and security, Hands-on experience with PostgreSQL in cloud or containerized environments, Infrastructure-as-Code experience, Strong troubleshooting and performance tuning skills 📃 Skills: Kubernetes, AKS, Docker, OpenTofu, Terraform, Bicep, Helm, ArgoCD, Flux, PostgreSQL, Linux, Azure, GitOps 🏢 Description: Tech stack: Kubernetes (AKS & on‑prem) Docker OpenTofu / Terraform / Bicep Helm GitOps tools (ArgoCD, Flux) PostgreSQL Linux Requirements: 6–8+ years of experience with Linux and container platforms Deep expertise in Kubernetes (managed and on‑prem) Strong understanding of cloud‑native architectures Experience designing Kubernetes networking, storage, and security Hands‑on experience with PostgreSQL in cloud or containerized setups Infrastructure‑as‑Code experience Strong troubleshooting and performance tuning skills Nice to have: ELK stack experience Azure Administrator certification or experience Open‑source storage solutions (Ceph, Longhorn) Policy engines (OPA, Kyverno) Experienced in using AI tools in day-to-day workflow Project description: You will design and deliver production‑grade Kubernetes platforms across cloud and on‑prem environments hosting critical in‑house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. Main responsibilities: Design and deploy on‑prem and AKS Kubernetes clusters Enable workload portability between Azure and on‑prem Define networking, ingress, storage, and security patterns Deliver Kubernetes workload migrations Build container image lifecycle processes Collaborate closely with Platform Engineers and Infrastructure 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: 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: The role involves designing and building an internal developer platform that enables self-service cloud infrastructure provisioning and automation. The engineer will automate infrastructure workflows and manage Kubernetes-based deployments on AWS to reduce operational overhead. The position focuses on scalable, secure, and reliable platform engineering across the full cloud infrastructure stack. 🗂️ Requirements: Strong experience with AWS, Solid knowledge of Kubernetes (EKS), Hands-on experience with Jenkins, Proficiency in Terraform, Scripting skills in Groovy, Scripting skills in Bash, Experience with CI/CD pipelines, Understanding of reverse proxies and CDNs, Knowledge of object storage and serverless architectures, Experience with messaging or streaming platforms 📃 Skills: AWS, Kubernetes, EKS, Jenkins, Terraform, Groovy, Bash, Helm, Docker, Nginx, CloudFront, S3, Lambda, Kafka, Cloudflare 🏢 Description: We are looking for a skilled DevOps / Platform Engineer to design and build an internal developer platform that streamlines how engineering teams interact with cloud infrastructure. The primary goal of this initiative is to reduce manual effort for operations teams by enabling self-service infrastructure provisioning and automation. Responsibilities Design, build, and maintain a self-service platform that allows developers to provision and manage cloud resources independently Automate infrastructure workflows using Jenkins pipelines written in Groovy, orchestrating Terraform code Develop and manage Helm charts for deploying applications on Kubernetes clusters (EKS) Collaborate across teams to design scalable, secure, and efficient infrastructure solutions Work across the full infrastructure stack, including web servers, CDN, storage, serverless, and streaming systems Continuously improve platform reliability, usability, and automation capabilities Requirements Strong experience with AWS as a primary cloud platform Solid knowledge of Kubernetes (EKS) and containerized workloads Hands-on experience with Jenkins for CI/CD and automation pipelines Proficiency in Terraform for infrastructure as code Scripting skills in Groovy and Bash Good understanding of modern infrastructure components such as reverse proxies, CDNs, object storage, serverless computing, and messaging/streaming platforms Nice to Have Experience with tools and technologies such as Nginx, CloudFront, S3, Lambda, Kafka, or Cloudflare Experience building internal developer platforms or platform engineering practices Strong problem-solving skills and ability to work across distributed systems