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:

Main 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