About the Role
What You’ll Be Doing
Design and build production backend services for interactive performance analysis and collaborative workflows.
Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.
Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.
Create durable service interfaces and data models that can evolve as product needs grow.
Engineer resilient behavior for concurrency, partial failures, retries, and recovery.
Establish effective testing, observability, and operational practices for the capabilities you own.
Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.
What We Need To See
BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.
5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language.
Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data.
For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.
For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling.
Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery.
Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.
A record of working across client, service, data, and security concerns to ship a complete production workflow.
Ways To Stand Out From The Crowd
Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.
Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale.
Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques.
Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing.
Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution.
Compensation
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.
Benefits
You will also be eligible for equity and benefits.
Requirements
Backend services experience
5+ years of experience building production backend services or data platforms.
Strong software fundamentals
Proficiency in automated tests, failure handling, and production diagnostics.
SQL expertise
Strong SQL skills with experience in data ingestion and schema evolution.
Concurrency handling
Ability to manage concurrency and partial failures effectively.
Nice to Have
Practical coding skills in Rust are highly valued.
Experience with WebSockets or real-time stateful systems.
Benefits
Equity
Eligible for equity as part of the compensation package.
Comprehensive benefits
Access to a range of benefits to support employee well-being.