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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
AI & Agentic AI in Daily Work:<\/p>\n
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.<\/p>\n
Cloud, AWS & Networking (Foundational):<\/p>\n
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.<\/p>\n
GitOps & Kubernetes (Day-One Operational):<\/p>\n
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.<\/p>\n
GitHub Org & Artifact Management (Platform-Owned):<\/p>\n
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.<\/p>\n
Collaboration & Leadership:<\/p>\n
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
We offer:
Growth: Udemy corporate access, corporate English program, and educational meetups from partners.
Health: Medical insurance, psychological support, and fitness discounts.
Comfort: 100% paid vacation days and sick leaves and power-independent offices (Generators\/Starlink).
Beyond Work: Free legal advice, referral bonuses, and loyalty program.<\/p>\n","protected":false},"excerpt":{"rendered":"
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