Senior Database Reliability Engineer & Architect

Role Description

We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams.

If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you.

Your Challenges & Responsibilities:

• DBaaS Architecture: Design and implement a self-service platform based on Terraform and Ansible, enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds).
• Scaling ClickHouse: Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). Tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load.
• Data Platform & Analytics Support: Maintain and scale the infrastructure for Apache Airflow and Redash. Ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team.
• Reliability as Code: Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases.
• Stack Modernization: Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads.
• Expertise & Mentorship: Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems.

Qualifications

• Deep PostgreSQL Expertise (5+ years): Knowledge of MVCC internals, locking mechanics, and experience with seamless major version upgrades under load.
• ClickHouse Mastery: Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and diagnosing performance issues at the data-part level.
• Engineering Mindset (SRE/DevOps): Experience writing complex Terraform modules and Ansible roles. Programming skills in Python or Go for automation are a huge plus.
• Hybrid Environment Experience: Understanding of running DBs on Bare Metal vs. Kubernetes vs. Cloud and optimizing TCO and disk subsystem performance.
• Systems Approach: Ability to see the big picture from the network packet to the application business logic, understanding security and Disaster Recovery.

Requirements

• AI-Augmented Engineering: Open to modern workflows and integrating AI into day-to-day operations.

Nice to Have

• Experience building an Internal Developer Platform (IDP).
• Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator).
• Experience working in Cloud and Hosting providers on similar services.

Benefits

• A focus on professional development.
• Interesting and challenging projects.
• Fully remote work with flexible working hours.
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
• Compensation for private medical insurance.
• Co-working and gym/sports reimbursement.
• Budget for education.
• The opportunity to receive a reward for the most innovative idea that the company can patent.