Company
Technology
SoftwareEngineer-PlanetScalePostgres
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer - PlanetScale Postgres. Skills: Distributed systems, Database reliability, Postgres, Automation. Design control plane. Build control plane”
What You'll Achieve.
Ensure data durability; Ensure data availability; Ensure data consistency; Ensure system stability; Achieve fast recovery
Industry & Context.
Problem-solving
On-call rotations
What They're Looking For.
Must Have
5+ years software engineering experience, 5+ years building distributed systems, 5+ years operating distributed systems, Proficiency in Go, Deep understanding of distributed systems principles, Knowledge of low-level system concepts, Hands-on experience with Kubernetes, Hands-on experience with containerized infrastructure, Proven experience with large-scale Postgres deployments, Problem-solving skills, Ability to operate independently, Excellent communication skills
Nice to Have
Experience in Go, Experience in Python, Experience in Ruby, Experience in Rust, Experience in Zig, Experience with cloud platforms, Familiarity with infrastructure-as-code, Familiarity with modern DevOps workflows, Experience in database-as-a-service platforms, Experience in open-source database ecosystems
What You'll Do.
Provision Postgres clusters
Scale Postgres clusters
Maintain Postgres clusters
Develop high availability mechanisms
Improve high availability mechanisms
Develop disaster recovery mechanisms
Improve disaster recovery mechanisms
Develop data protection mechanisms
Improve data protection mechanisms
Optimize Postgres performance
Contribute to operation
Participate in on-call rotations
Respond to production incidents
Collaborate with customers
Collaborate with internal teams
Understand workload patterns
Translate workload patterns
Contribute to improvements
Improve observability
Improve reliability engineering
Improve operational excellence
How You'll Work.
Team & Collaboration
Engineering peers; Customers; Internal teams; Remote distributed teams
Communication Scope
Explain technical tradeoffs
Full Job Description
## Description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - PlanetScale Postgres based in Netherlands. This role offers the opportunity to work at the core of a next-generation managed database platform powering mission-critical applications at global scale. You will help design and evolve the systems that provision, scale, and maintain highly available Postgres infrastructure across multiple cloud environments. The work focuses on solving deep technical challenges in distributed systems, database reliability, and performance engineering, with a strong emphasis on automation and resilience. You will collaborate closely with engineering peers and customers to translate real-world database workloads into robust platform improvements. Operating in a high-ownership environment, you will contribute to systems that ensure data durability, availability, and consistency under demanding production conditions. This is a hands-on engineering role for individuals who enjoy building foundational infrastructure that powers large-scale software products. ## Accountabilities Design and build the control plane responsible for provisioning, scaling, and maintaining Postgres clusters with minimal downtime. Develop and improve high availability, disaster recovery, and data protection mechanisms for production database systems. Optimize Postgres performance to support large-scale, high-throughput workloads in distributed environments. Build automation, tooling, and workflows for database operations including backups, restores, migrations, and failover handling. Contribute to the design and operation of distributed, fault-tolerant systems ensuring reliability and scalability. Participate in on-call rotations and respond to production incidents, ensuring system stability and fast recovery. Collaborate with customers and internal teams to understand workload patterns and translate the
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