Platform Engineer

We are looking for a Platform Engineer to join the team — a persone who collaborates, innovates, and treats every problem as a mission to be completed. You will help build and operate the internal platform that other engineering teams depend on: GitOps delivery, Kubernetes-based runtime, infrastructure automation, and developer self-service capabilities. You will use AI and Agentic AI as everyday tools to accelerate everything you do — code generation, automation, troubleshooting, documentation, and platform tooling.

About:

Our client is developing electro-mechanical devices for dairy farms, pulsators and automatic detachers. The solution is leading in the industry with advanced cow monitoring solutions based on activity and rumination sensors.

Responsibilities:

     Platform Engineering (Core):

• Build and operate the internal platform: GitOps delivery, Kubernetes runtime, infrastructure automation, and developer self-service capabilities;
• Apply platform-as-product thinking — product teams are your customers; developer experience is the metric;
• Contribute to the team's evolution toward IDP capabilities on Port, Crossplane, and self-service control planes;
• Maintain and extend Infrastructure as Code (Terraform / OpenTofu) for platform components;

• Ship POCs that turn into platform capabilities.

   

  AI & Agentic AI in Daily Work:

• Use AI coding assistants (Claude, Copilot, or similar) for code, IaC, and platform automation;
• Design and use agentic AI workflows to automate repetitive platform tasks — investigation, remediation, documentation, scaffolding;
• Build AI-augmented tooling into the platform itself where it accelerates product teams;

• Set the bar for the team on responsible, effective use of AI in engineering work.

   

  Cloud, AWS & Networking (Foundational):

• Operate confidently in AWS: EKS, IAM, S3, RDS, Lambda, CloudWatch;
• Networking proficiency is required: VPC design, subnets, CIDR planning, route tables, security groups, NACLs, peering, Transit Gateway, VPC endpoints, DNS (Route53);
• Troubleshoot connectivity, ingress/egress, and cross-account/cross-VPC traffic flows;

• Apply networking knowledge to Kubernetes: Services, Ingress, Network Policies, CNI behavior.

   

  GitOps & Kubernetes (Day-One Operational):

• Operate ArgoCD as a core platform capability: GitOps workflows, application/infrastructure delivery, multi-environment promotion;
• Own ApplicationSets-driven multi-version, branch, and PR deployment patterns — providing the platform capability while product teams consume it;
• Deploy, troubleshoot, and instrument Kubernetes workloads;

• Apply progressive delivery patterns (canary, blue-green) where they fit.

   

  GitHub Org & Artifact Management (Platform-Owned):

• Manage the GitHub organization as a platform service: orgs, teams, repos, templates, code owners, branch and environment protections, secrets, OIDC to AWS.
• Build and maintain reusable GitHub Actions workflows that product teams consume out of the box;
• Operate CI bots for PR validation, auto-labeling, auto-merge on green, and policy enforcement;
• Curate Copilot org policies and custom Copilot instructions so AI assistance is consistent and safe across repos;

• Operate JFrog Artifactory as the artifact backbone: registries, retention, promotion paths, Xray scanning, and signed artifacts flowing through environments.

   

  Collaboration & Leadership:

• Collaborate with CloudOps, DevSecOps, FinOps, and SRE — peer-to-peer, not siloed;
• Mentor team members; deliver POCs, technical presentations, and documentation;
• Bring innovation to the team: new tools, new patterns, new ways of working;
• Champion shared standards across the platform community.

Requirements:

• 7+ years in Platform Engineering, SRE, or closely related roles;
• Platform mindset — you build platforms and self-service capabilities; you do not run a ticket queue;
• AI fluency: hands-on daily use of AI coding assistants and agentic AI workflows to deliver engineering work;
• AWS proficiency: EKS, IAM, S3, RDS, Lambda, CloudWatch, and the operational fundamentals;
• AWS networking: VPC, subnets, CIDR planning, route tables, security groups, NACLs, peering / Transit Gateway, VPC endpoints, Route53 — confident designing and troubleshooting multi-VPC topologies;
• Kubernetes: strong operational proficiency — deploying, troubleshooting, and instrumenting workloads (not cluster architecture);
• ArgoCD & GitOps: multi-environment Kubernetes deployments, ApplicationSets, progressive delivery;
• Terraform / OpenTofu: proficiency with declarative infrastructure management;
• CI/CD: tool-agnostic pipeline design (Azure DevOps, GitHub Actions, or both);
• GitHub as a platform: org/team/repo administration, reusable Actions workflows, branch and environment protections, OIDC to AWS, CI bots for PR validation and auto-merge, and Copilot org policies / custom Copilot instructions;
• Artifact management: hands-on with JFrog Artifactory (or directly comparable, e.g., Nexus, GitHub Packages at scale) — registries, retention, promotion, vulnerability scanning;
• Scripting: Python, Go, Bash, or similar for automation and tooling;
• Team player and assertive collaborator: works effectively across Platform, CloudOps, DevSecOps, FinOps, and SRE functions; takes initiative and finishes missions;
• IDP tools (Stack Port, Backstage) — central to where the team is heading;
• Crossplane for Kubernetes-based infrastructure management;
• Argo ecosystem depth (Rollouts, Workflows, Events);
• SRE practices: SLOs, SLIs, error budgets, incident response, post-incident reviews;
• DORA metrics: defining, tracking, and driving measurable delivery improvement;
• Building or operating internal AI-powered developer tools;
• At least Upper-Intermediate English level.

Would be a plus:

• Observability: Datadog, OpenTelemetry, Prometheus & Grafana — instrumentation, dashboards, alerting (a Plus, not a requirement);
• Service mesh (Istio, Linkerd);
• FinOps practices and cloud cost optimization tooling;
• Policy as Code (OPA, Kyverno);
• Certifications: CKA/CKAD, AWS Solutions Architect/DevOps Engineer/Advanced Networking, HashiCorp Terraform.

We offer:

Professional Development: Free English courses, free access to the corporate Udemy account, corporate digital library subscription, possibility to participate and share your knowledge as a speaker in our internal meetups.

Benefits: 100% paid vacation and sick leaves, opportunity to accumulate part of the own salary in the company in dollar terms.