Staff Backend Engineer, Database Automation (Go)

Accountabilities:

• Design, build, test, review, and maintain Go-based automation covering the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning.
• Develop automation across infrastructure-as-code tooling and cloud infrastructure while evaluating operator-based approaches for managing stateful services.
• Build reliable services and automation capable of supporting high-throughput, always-on production workloads where correctness, latency, and availability are critical.
• Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into a coherent PostgreSQL platform.
• Develop a standardized PostgreSQL-as-a-service platform that reduces bespoke database configurations and enables database operations to scale without requiring equivalent growth in the operations team.
• Build safe and repeatable PostgreSQL major-version upgrade automation and validate changes against real production traffic before deployment.
• Research and implement improvements to PostgreSQL performance, scalability, reliability, and data health while proactively addressing critical database saturation points.
• Use AI agents and productivity tools throughout implementation, code review, service operations, and repetitive engineering workflows while maintaining the repository context required for effective team collaboration.
• Collaborate with product management, infrastructure, software delivery, database, and platform engineering teams to design and deliver high-performing solutions.
• Provide technical direction for major initiatives, turning ambiguous problems into clear architectures and sequenced execution plans that enable multiple engineers to work in parallel.
• Review database automation and Go contributions with a focus on safety, maintainability, performance, and long-term operational reliability.
• Document automation practices, PostgreSQL operational patterns, and platform guidance that enable other engineers to effectively use and contribute to the systems.
• Operate the solutions you build in production end to end and use operational feedback to guide subsequent iterations and improvements.
• Influence engineering practices beyond the immediate team through design reviews, mentorship, cross-team collaboration, and reusable technical patterns.

Requirements:

• You bring professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating database-as-a-service capabilities.
• You have strong proficiency in Go, including experience designing, implementing, testing, and reviewing backend services.
• You have experience developing Kubernetes operators, controllers, or comparable automation for the lifecycle management of stateful services, particularly databases.
• You are comfortable with infrastructure as code and understand core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs.
• You have demonstrated ownership of the technical direction for significant initiatives and can translate ambiguous technical challenges into scalable architectures and executable plans.
• You have experience working with high-throughput, always-on production systems where reliability, performance, and operational safety are essential.
• Familiarity with Ruby is a plus, particularly for working within environments that use Ruby on Rails, but it is not required at the start of the role.
• You have strong written communication skills and are comfortable collaborating asynchronously within a distributed, all-remote team.
• You are self-directed, well organized, and capable of managing priorities independently while maintaining strong ownership of outcomes.
• You demonstrate strong alignment with principles of transparency, collaboration, inclusion, and open-source contribution.
• You can influence engineering practices beyond your immediate team and are comfortable partnering with database, infrastructure, and platform teams.
• You have experience mentoring engineers and contributing to technical growth through design reviews, code reviews, and knowledge sharing.

Benefits:

• The position is fully remote and supports an asynchronous, distributed working environment.
• The U.S. base salary range is $152,800–$259,200 USD, depending on level, experience, skills, knowledge, abilities, market data, equity considerations, and geographic location.
• The listed base salary does not include potential bonuses, equity compensation, or benefits.
• Benefits are designed to support employees’ health, finances, and overall well-being.
• Flexible paid time off is provided.
• Equity compensation and an Employee Stock Purchase Plan are available.
• A Growth and Development Fund supports ongoing professional learning and development.
• Parental leave is provided.
• Team Member Resource Groups support an inclusive and collaborative workplace.
• Employees have opportunities to work with modern AI tools and incorporate AI into their daily workflows to improve efficiency, innovation, and impact.
• Location-based eligibility requirements may apply depending on the employee’s country and role.