Lead SRE
- Infrastructure & Reliability
- Maintain and monitor Kubernetes microservices.
- Define observability standards (logging, metrics, alerting) using Grafana, Prometheus, etc.
- Manage GCP services (BigQuery, Cloud Storage, Cloud SQL...) with Terraform and Atlantis.
- Enhance GitOps deployments (Helm, ArgoCD).
- Incident management & on-call rotationPerformance and cost optimization.
- Security and compliance alignment (especially with multi-region GCP/on-prem setup).
- Collaboration & Enablement
- Partner with data engineers/scientists to build resilient ingestion pipelines.
- Support data scientists to deploy and monitor ML workflows.
- Promote SRE best practices (SLOs, DRP, postmortems, capacity planning).
- Leadership & Collaboration
- Proven ability to lead technical discussions and influence reliability culture across multiple teams.
- Strong sense of ownership and accountability, with a collaborative mindset.
- Excellent communication skills; able to explain complex topics clearly to both technical and non-technical audiences.
- Fluent in English (spoken and written).
- Experience
- 5+ years of experience as an SRE, DevOps, or Platform Engineer in production environments.
- Demonstrated experience deploying and operating applications on Kubernetes (Helm, GitOps, CI/CD).
- Solid understanding of public cloud (preferably Google Cloud Platform) and private cloud ecosystems.
- Hands-on experience implementing Infrastructure as Code with Terraform and GitLab pipelines.
- Proven ability to build and maintain observability stacks (Grafana, Prometheus, Stackdriver, or equivalent).
- Familiarity with GitOps workflows and modern deployment practices (e.g., ArgoCD).
- Mindset
- You thrive in helping others and enabling teams to be more autonomous.
- You're pragmatic, solutions-oriented, and willing to go the extra mile to keep systems reliable.
- You enjoy working in an environment that values responsibility, trust, and continuous improvement.
- Hands-on experience with Trino, Airflow, or data-intensive workloads.
- Knowledge of Iceberg, ClickHouse, or data lake architectures.
- Experience automating infrastructure using Python/Go.
- Experience with GitOps approach using ArgoCDSome programming skills in Python (for automation/enablement tools) and Java (to understand context)
- Experience with Machine Learning applicationsExperience with ELT solutions
- Variable bonus
- Dynamic and creative environment within international teams
- The variety of self-education courses on our e-learning platform
- The participation in meetups and conferences locally and internationally
- Flexible Office with up to 2 days at home
- Flexible retribution package (including Medical Insurance)
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