We are looking for an engineer capable of designing and maintaining large-scale data systems (2TB+) while ensuring stability and cost efficiency. If your ideal system runs reliably because it was well-architected from the start, this role is for you.

Our environment is hybrid (On-premise, Azure, GCP). This is not an incident-response administrator role — we are seeking an architect who will take ownership of the full data ecosystem, implement a Database-as-Code approach, and demonstrate that query optimization is the most effective way to reduce cloud costs (FinOps).

Remote-first work with weekly presence in Poznań office (Thursday).

Engagement planned at least until the end of 2026, with possible extension.

Planned start: April 1, 2026.

Senior PostgreSQL Architect - Database Reliability Engineer

Your responsibilities

• Build a central “Single Point of Truth” for database monitoring across the organization (Prometheus / Grafana / pganalyze).
• Transition from infrastructure-level monitoring to in-depth query analysis.
• Identify performance issues before they impact end-users.
• Audit key database instances for resource usage.
• Optimize costs through: configuration tuning, index design, query optimization, SQL refactoring.
• Support safe downsizing of cloud infrastructure (SKU Optimization).
• Design high-availability architectures for distributed systems (microservices).
• Standardize failover mechanisms.
• Automate backup and recovery procedures (PITR, pgBackRest).
• Build an environment with predictable, repeatable operational behavior.
• Automate the database lifecycle using Terraform and Ansible.
• Define architectural standards and patterns for development teams: schema design, security policies, backup and maintenance standards.

Our requirements

• Deep knowledge of PostgreSQL internals: MVCC, WAL, Autovacuum under load, Query Planner.
• Experience with large-scale databases (2TB+): partitioning, bloat management, zero-downtime operations.
• Multi-cloud and hybrid environment experience: Azure Database for PostgreSQL, Google Cloud SQL, Linux-based PostgreSQL instances.
• Software engineering approaches: infrastructure as code, automation via custom tools and scripts.
• Pragmatic technology mindset: selecting stable, proven solutions and making decisions based on technical and economic justification.