• Develop and implement tools and processes to automate infrastructure management tasks; • Monitor and analyze system performance to proactively identify and troubleshoot issues; • Create and maintain detailed technical documentation of systems and procedures; • Collaborate with development teams to integrate reliability practices into the software lifecycle (DevOps); • Respond to incidents and resolve performance and availability issues quickly and effectively; • Ensure compliance with agreed SLAs and KPIs for production, QA, and development environments; • Maintain complex ecosystems, including the Data Lakehouse, Analytics Lab environments (AI/ML), and API integration via Apigee; • Work with automated CI/CD pipelines in Azure DevOps; • Operate with legacy environments while implementing modern architectures established by the Mobilize project, which uses cutting-edge technologies such as Control Tower, Transit Gateway, and IaC with Terraform;

• Design and build systems for large distributed web applications • Setup, monitor and administer web servers • Administer system security • Setup and configure necessary components and software • Administer redundancy, load balancing and failovers • Design and maintain High-load and High-availability infrastructure • Analysis of service infrastructure needs and their justification • Performance monitoring • Performance tuning via auto-scaling • Write and update scripts • Dockerizing Applications • Writing Ansible playbooks • Creating CI/CD pipelines for company projects

This position is open at a global product-led IT company specializing in infrastructure stability and security solutions. Their products are recognized as the industry standard in the Hosting and Enterprise segments, powering over 500,000 servers worldwide. In 2025, the company is evolving its data management strategy, shifting from traditional database administration to an Internal Database-as-a-Service (DBaaS) model. This role requires a visionary engineer to design resilient distributed systems, automate infrastructure through code, and transform databases into a reliable service for product teams. This is an ideal opportunity for those ready to handle petabytes of data and build high-scale platform solutions. **Key Challenges & Responsibilities:** - Designing and implementing a self-service platform (Terraform + Ansible) for deploying HA clusters (PostgreSQL, ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal, OpenNebula, K8s, Public Clouds). - Managing rapidly growing analytics clusters (12+ clusters, tens of terabytes), focusing on sharding, ReplicatedMergeTree, and building reliable S3 backup pipelines under high load. - Maintaining and scaling infrastructure for Apache Airflow and Redash, ensuring the reliability of ETL pipelines and visualization tools. - Implementing SRE practices in data management: replacing manual incident response with automated self-healing mechanisms and defining SLO/SLIs. - Migrating legacy solutions to modern cloud patterns and implementing Kubernetes operators for stateful workloads. - Serving as a technical authority for product teams to optimize data schemas and SQL queries for high-load systems. **Tech Stack:** - **DB:** PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka. - **Data & Analytics:** Apache Airflow, Redash. - **Infrastructure:** Hybrid Cloud (3+ private DCs, OpenNebula, K8s, Bare Metal, AWS, GCP, Azure, DO). - **IaC & CI/CD:** Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit. - **Observability:** VictoriaMetrics, Grafana, Loki.

• Configure a complete CI/CD pipeline from scratch and continuously improve it • Use automated deployment tools like Gitlab or Jenkins • Implement automated end-to-end testing frameworks • Manage deployment and resources in the AWS ecosystem • Administer Linux systems and utilize scripting languages for process automation