Principal Software Engineer - Postgres
Listed on 2026-06-02
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Software Development
Software Engineer, Data Engineer, AI Engineer
Recognized on the 2025 Forbes Cloud 100 list, Click House is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, Click House leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
About the RoleClick House is expanding its capabilities in the database systems domain, building next-generation infrastructure that redefines performance, scalability, and developer experience. We’re looking for a Principal Engineer with deep expertise in systems programming and database internals — particularly Postgres — to help us push boundaries in how databases are built and operated at scale.
This is a strategic and high-impact role for an engineer who can work independently across complex technical areas: from storage and performance optimization to distributed coordination and extension development. You’ll shape critical components of our data platform, mentor other engineers, and drive architectural direction for systems that serve massive workloads.
What You’ll Do- Lead design and implementation of advanced systems features across areas like storage, replication, query execution, and performance optimization.
- Contribute to and extend Postgres internals — improving reliability, scalability, and efficiency.
- Prototype and build extensions that expand Postgres’s core capabilities and integrate with cloud-native infrastructure.
- Collaborate with product, infrastructure, and cloud platform teams to deliver robust, developer-friendly experiences.
- Profile and optimize database performance using low-level instrumentation and benchmarking.
- Provide technical leadership, set standards for engineering excellence, and mentor senior engineers.
- Operate with significant autonomy and ownership — driving projects from concept to production.
- 10+ years of experience building systems software in C/C++ or Rust (Go experience a plus).
- Deep knowledge of Postgre
SQL or other database engine internals
, including storage, execution, or replication subsystems. - Strong understanding of concurrency, operating systems, and performance engineering
. - Proven ability to ship large-scale systems or core infrastructure features end-to-end.
- Experience contributing to open-source databases or similar complex systems is highly desirable.
- Pragmatic problem solver with a bias for simplicity and measurable impact.
- Thrives in a high-autonomy, high-velocity environment.
- Work on foundational database technologies at the intersection of performance, reliability, and usability.
- Shape the future of Postgres-based systems and cloud data infrastructure.
- Operate with autonomy in a small, high-talent team that values depth, craftsmanship, and impact.
- Contribute to an ambitious vision: making data systems faster, simpler, and more powerful for developers everywhere.
Typical starting salary: $140,000 – $200,000 USD. In premium markets such as the San Francisco Bay Area and New York City Metro Area: $158,000 – $232,000 USD.
Compensation and BenefitsFor roles based in the United States
, the typical starting salary range for this position is listed above. In certain locations, a premium market range may apply.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location,…
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