Backend Engineer - Extensions
Develop and productize data science capabilities for enterprise AI platform. Own reliability, performance, and scalability of Extensions backend with focus on distributed workflows and production-grade Python systems.
About the job
Key Responsibilities
- Own the reliability, performance, and scalability of Extensions capabilities end to end
- Design and build distributed workflows that are efficient, reproducible, and observable in production
- Collaborate closely with Data Scientists on the team to deeply understand requirements and translate them into engineering decisions
- Identify and resolve performance bottlenecks, ensuring Extensions capabilities meet the latency and throughput demands of enterprise deployments
- Contribute to architectural decisions around how Extensions integrates with the broader NEXUS backend
- Write clean, well-tested Python code and hold a high bar for code quality across the team
- Contribute to internal engineering documentation and help establish best practices for backend development within the team
Requirements
- 5+ years of backend engineering experience, with a strong focus on Python
- Excellent Python skills - write clean, idiomatic, well-tested code and know the language deeply
- Solid experience designing and operating distributed systems at production scale
- Strong understanding of concurrency, task execution, and workflow orchestration patterns
- Experience building systems that are reproducible, observable, and easy to debug in production
- Ability to work closely with non-engineering counterparts and translate complex requirements into reliable implementations
- Strong ownership mindset - drive work end to end and care about outcomes, not just output
Nice to Have
- Hands-on experience with workflow orchestration systems such as Temporal, Dramatiq, Celery, or equivalent
- Familiarity with ML infrastructure or experience working alongside data science teams
- Experience with high-throughput data processing pipelines
- Exposure to Kubernetes and container-based deployment environments
- Background in performance profiling and optimization of Python services
Benefits
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Skills
Python, Distributed Systems, Workflow Orchestration, Concurrency, Task Execution, Kubernetes, Celery, Temporal, Dramatiq, ML Infrastructure
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