[Hiring] Senior Database Reliability Engineer @Storyblok

Role Description

You will own the reliability, performance, and cost efficiency of the PostgreSQL data platform behind our flagship CMS — primarily Amazon Aurora PostgreSQL — along with the infrastructure and automation around it. This is a reliability engineering role, not a classic administration one.

• Aurora takes care of patching, backups, failover, and storage growth; you own what it does not — query and index strategy, plan regressions across major version upgrades, vacuum and bloat, connection management, zero-downtime schema change, logical replication, and capacity and cost modeling.
• You will work as a full member of the Infrastructure team on Terraform, CI/CD, observability, and security tooling, and you share the on-call rotation.
• You will work in a shared-ownership model: backend teams own their queries and schemas, and you own the platform, guardrails, tooling, and knowledge-sharing that make their decisions safe.
• You will collaborate closely with backend engineers, DevOps engineers, Security, product owners, and the Data team.
• We measure success by the reliability and predictable performance of the data platform, the quality of your incident response, and how well other engineering teams are equipped to make sound database decisions without you in the room.

Qualifications

• 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.
• 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.

Requirements

• Own the reliability, performance, and scalability of our PostgreSQL platform (primarily Amazon Aurora): query and index strategy, execution plans, configuration tuning, and capacity planning.
• Lead zero-downtime version upgrades and schema migrations at scale.
• Own the operational health of the platform: vacuum strategy and bloat, long-running transactions and wraparound risk, connection management and pooling, lock contention, and logical replication.
• Review schema changes and DDL from backend teams for lock behavior, migration safety, and performance impact.
• Own backup, restore, and disaster recovery end-to-end.
• Model database capacity and cost and drive cost-efficiency without compromising reliability.
• Deliver infrastructure and automation as a full member of the Infrastructure team.
• Build and maintain monitoring, alerting, and observability for database and platform systems.
• Use cloud security and vulnerability management tooling to triage findings.
• Take part in the on-call rotation, incident response, and postmortems.
• Raise the database competence of the wider engineering organization through design reviews, documentation, and mentoring.
• Demonstrate AI literacy, leveraging AI tools to enhance productivity and decision-making.

Benefits

• Monthly remote work stipend (home internet costs, electricity).
• Home office equipment package right at the start (laptop, keyboard, monitor…).
• Home office equipment upgrade or membership to a local co-working space after your onboarding.
• Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays.
• Personal development fund for courses, books, conferences, and material.
• The annual international team-building trip, quarterly and monthly online get-togethers.
• Flexible schedules as a fully remote company with work-life balance at its core.
• An international team that loves to have fun at work and works hard together to accomplish shared goals.