Lead DevOps / SRE Engineer

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:

You will join an international product organization building and operating a cloud-native platform supporting premium consumer products. The platform is a key business enabler, powering scalable digital services across markets.

This role sits at the intersection of software engineering and operations, with strong ownership over platform reliability, scalability, and efficiency. You will act as a technical owner and trusted advisor, shaping platform direction, supporting engineering teams, and ensuring the platform delivers measurable business value.

Expect a high level of autonomy, cross-team collaboration, and influence on strategic technical decisions.

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