Software Engineer - PlanetScale Postgres in UK at Jobgether

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 United Kingdom.

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.

• 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 them into platform enhancements.
• Contribute to ongoing improvements in observability, reliability engineering, and operational excellence.

• 5+ years of software engineering experience building and operating production-grade distributed systems.
• Strong proficiency in Go, with additional experience in languages such as Python, Ruby, Rust, or Zig.
• Deep understanding of distributed systems principles, including fault tolerance, consistency, and scalability.
• Strong knowledge of low-level system concepts such as memory management, networking, storage, and concurrency.
• Hands-on experience with Kubernetes and containerized infrastructure.
• Proven experience working with large-scale Postgres deployments or similar database systems in production.
• Strong problem-solving skills and ability to operate independently in complex technical environments.
• Excellent communication skills and ability to explain technical tradeoffs clearly to both engineers and stakeholders.
• Experience with cloud platforms such as AWS, GCP, or Azure is highly desirable.
• Familiarity with infrastructure-as-code practices and modern DevOps workflows is a plus.
• Experience in database-as-a-service platforms or open-source database ecosystems is a strong advantage.
• Ability to thrive in remote, distributed engineering teams.

• Competitive compensation package with base salary ranging from $120,000 to $290,000 USD.
• Equity opportunities as part of total compensation.
• Fully remote work environment with flexibility.
• Opportunity to work on large-scale distributed database infrastructure used by high-growth global companies.
• Exposure to cutting-edge challenges in Postgres performance, scaling, and reliability engineering.
• Collaborative engineering culture focused on technical excellence and knowledge sharing.
• High autonomy and ownership over critical platform components.
• Inclusive and diverse work environment supporting different backgrounds and perspectives.
• Opportunity to contribute to foundational infrastructure powering globally scaled applications.