DevOps / SRE Engineer
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AI Summary
Tech stack:
AWS (primary hyperscaler)
Kubernetes (cluster management, autoscaling, HA)
Docker (containerization)
Terraform (preferred IaC) / Ansible / Chef / Puppet
CI/CD: GitLab CI, GitHub Actions, Jenkins
GitOps: Argo CD
Helm
Observability: Grafana LGTM stack, ELK
Programming: Python / Go / Java / Node.js
Requirements:
Strong hands-on experience with cloud-native application environments, including deployment, scaling, and operations
Advanced expertise in Kubernetes (cluster setup, workloads, autoscaling, high availability)
Solid experience with AWS, including resource management, security best practices, and cloud-native services
Practical experience with Infrastructure as Code (Terraform preferred)
Experience building and maintaining CI/CD pipelines
Strong knowledge of observability practices (monitoring, logging, tracing)
Ability to use at least one programming language (Python, Go, Java, Node.js) for automation and tooling
Experience in incident management, troubleshooting, and post-incident analysis
Familiarity with SLI / SLO / SLA frameworks and error budgets
Experience with cost optimization (FinOps mindset)
Willingness to participate in on-call rotation (18/7, occasionally 24/7)
Strong communication skills in English
Proactive mindset, ownership attitude, and strong problem-solving skills
Ability to collaborate across multiple teams and support developer enablement
Nice to have:
Experience with multi-cloud environments (GCP, Azure)
Knowledge of architecture frameworks (e.g., Aim42)
Test automation (unit, integration, functional)
FinOps practices and cost governance
Exposure to Data & AI ecosystems
API design (REST, Hypermedia)
Knowledge of Team Topologies / platform engineering models
Experience in mentoring, coaching, or developer relations
Performance testing and chaos engineering
Security topics: PKI, IAM
Familiarity with ISO 25010 and ITIL/service management practices
Experienced in using AI tools in day-to-day workflow
Project description:
On behalf of a leading international manufacturer of premium kitchen and household appliances, we're building an AI-ready internal platform designed to standardize and simplify software delivery across the organization.
You will join a team of experienced professionals shaping the platform vision, defining engineering best practices, and enabling hundreds of developers (and increasingly AI-powered workflows) to deliver production-ready solutions faster and with greater confidence.
Our client combines the agility of dedicated product teams with a strong focus on quality, user experience, and product excellence. Teams work closely together, respond quickly to customer feedback, and continuously evolve their products while maintaining high engineering standards.
The culture is built on ownership, transparency, and collaboration. Communication is open, hierarchy is kept to a minimum, and everyone is encouraged to contribute ideas regardless of role or seniority. Learning from challenges and improving together is valued far more than assigning blame.
This is a fully remote role within Poland. Occasional business travel to Germany or Zurich (typically once per quarter for 3-4 days) is expected and provides an opportunity to collaborate with stakeholders and participate in strategic workshops.
Responsibilities:
Own the end-to-end reliability, scalability, and performance of the platform
Design, build, and maintain cloud infrastructure and Kubernetes environments
Drive platform improvements in collaboration with engineering and business stakeholders
Implement and maintain CI/CD pipelines and GitOps practices
Enable teams through developer support, mentoring, and best practices
Ensure strong observability (monitoring, logging, tracing) and proactive incident prevention
Lead incident response, root cause analysis, and continuous improvement
Define and manage SLIs, SLOs, SLAs, and error budgets
Optimize cloud costs while maintaining performance and security standards
Contribute to platform strategy, architecture, and governance
Promote a culture of continuous improvement and knowledge sharing
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