• Own the reliability, performance, and scalability of our PostgreSQL platform (primarily Amazon Aurora): query and index strategy, execution plans, configuration tuning, and capacity planning, with particular attention to hot multi-tenant read paths.
• Lead zero-downtime version upgrades and schema migrations at scale, including diagnosing and preventing plan regressions across Aurora major versions.
• Own the operational health of the platform: vacuum strategy and bloat, long-running transactions and wraparound risk, connection management and pooling (including RDS Proxy), lock contention, and logical replication and slot hygiene.
• Review schema changes and DDL from backend teams for lock behavior, migration safety, and performance impact, and build the guardrails and tooling that make safe changes to the default path.
• Own backup, restore, and disaster recovery end-to-end, including rehearsed restore drills and the access, encryption, and auditing controls our compliance obligations require.
• Model database capacity and cost (I/O-Optimized vs. Standard, Serverless v2 sizing, read replica strategy) and drive cost-efficiency without compromising reliability.

Infrastructure and automation (approx. 40%)

• Deliver infrastructure and automation as a full member of the Infrastructure team, using Terraform and cloud-native tooling on AWS, and contribute to CI/CD pipelines including the safe automated handling of database changes.
• Build and maintain monitoring, alerting, and observability for database and platform systems (e.g. pg_stat_statements, Prometheus exporters, Grafana, Datadog, OpenTelemetry) so problems surface before customers feel them.
• Use cloud security and vulnerability management tooling (such as Aikido) to triage findings and keep the team's services compliant.

Team, incidents, and collaboration

• Take part in the on-call rotation, incident response, and postmortems, driving root cause analysis and remediation that prevents recurrence.
• Raise the database competence of the wider engineering organization through design reviews, documentation and runbooks, and mentoring — so this expertise is not concentrated in one person.
• Demonstrate AI literacy, leveraging AI tools to enhance productivity, decision-making, and quality of work while applying sound judgment and critical thinking.

EDUCATION AND EXPERIENCE; QUALIFICATIONS

Required — PostgreSQL depth

• 7+ years in database engineering, database reliability, infrastructure, or SRE roles, including significant hands-on ownership of production PostgreSQL.
• Deep PostgreSQL expertise: internals and MVCC, reading and acting on EXPLAIN (ANALYZE, BUFFERS), indexing strategy, vacuum behavior, locking, connection pooling, and configuration tuning.
• Strong experience with Amazon Aurora PostgreSQL and AWS-managed database services.
• Proven track record of zero-downtime upgrades and complex schema migrations on large, busy tables.
• Hands-on experience with physical and logical replication, partitioning, read scaling, and designing and validating backup and disaster-recovery strategies.

Required — Infrastructure and ways of working

• Solid experience with Infrastructure-as-Code, primarily Terraform, on AWS.
• Strong Linux fundamentals plus fluency in at least one scripting language (Bash, Python, Ruby, or Go) for automation and tooling.
• Experience with monitoring and observability tooling, and a solid grasp of security practices (IAM, secrets management, network segmentation).
• Experience with change, incident, and problem management in production, and with Git and modern CI/CD workflows applied to database changes.
• Strong written and verbal communication in a remote-first organization, including the ability to explain database trade-offs to backend engineers and non-specialists.
• Willingness and ability to participate in an on-call rotation.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.

Nice to have

• Familiarity with backend frameworks that interact with PostgreSQL (Ruby on Rails preferred; Python, Rust, or Elixir valued).
• Experience with caching layers (Redis, Memcached) and their interaction with database load.
• Exposure to analytics pipelines and warehousing (Redshift, Snowflake, ClickHouse) or CDC-based data flows.
• Experience with container platforms (ECS, EKS, Fargate), NoSQL or vector databases, or AWS certification (Database – Specialty, DevOps Engineer – Professional).

MENTAL, PHYSICAL AND ENVIRONMENTAL REQUIREMENTS

Remote (home) work opportunity or funded by Storyblok co-working space

GENERAL TERMS

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