Senior Backend Engineer

Gravitate Energy LLC•Dallas, TX

21d

About The Position

Gravitate is seeking a Senior Backend Engineer to own a significant area of their fuel logistics platform or a full service. This role involves leading the design of complex features, evaluating trade-offs, and ensuring the reliability, performance, and evolution of the platform. The engineer will work with Python services, APIs, MongoDB, async and event-driven processing, and deploy on Kubernetes in GCP and Azure. Responsibilities also include production issue resolution, driving improvements in monitoring and observability, and mentoring mid-level engineers. This position is part of the product team, contributing to product conversations and decisions.

Requirements

5+ years of professional software engineering experience building and operating production backend systems
Deep expertise in multiple areas of a backend stack: a primary server-side language (Python preferred), API design, data modeling, and automated testing
Demonstrated track record of delivering large features end-to-end, on plans you built yourself, with moderate unknowns
Experience owning a service or major product area in production — including its reliability and performance, not just its features
Strong debugging and troubleshooting skills on medium-to-large issues; comfortable participating in on-call for what you own
Working knowledge of infrastructure, security, and observability, plus CI/CD and deployment practices
Experience mentoring junior and mid-level engineers and giving high-quality code review feedback
Strong written and verbal communication — able to produce clear medium-to-large technical documents and explain trade-offs to non-technical stakeholders
Openness to utilizing and becoming an expert in AI-assisted development to supercharge your ability to get stuff done.

Nice To Haves

Hands-on experience with our stack: Python, MongoDB, Kubernetes, GCP or Azure
Comfort reaching into React/TypeScript when a feature needs it end-to-end
Backend engineering experience in a B2B SaaS or enterprise software environment
Background in a logistics, supply chain, or energy/fuel domain
Performance and scale work against large data volumes — query optimization, caching, and profiling
AI engineering experience – working with production agentic systems and ML / operations models.

Responsibilities

Drive delivery of large backend features end-to-end — breaking large projects into manageable plans, estimating work with moderate unknowns accurately, and raising risks early
Lead technical design for complex features; evaluate trade-offs across performance, maintainability, and cost; document decisions; design for extensibility
Own a significant area of the product or a full service — accountable for its reliability, performance, and evolution
Build and operate Python services, APIs, and data models (MongoDB) deployed on Kubernetes across GCP and Azure
Debug and resolve medium-to-large production issues; quickly identify root cause and drive fast response and recovery
Drive monitoring, observability, and performance health in your product area
Review code and technical designs with constructive, specific feedback; mentor junior and mid-level engineers, including on how to produce higher-quality designs
Partner with product on medium-to-large features — contributing real feedback and helping shape product decisions in your domain
Write clear technical documents; communicate complex technical topics to non-technical stakeholders and facilitate productive technical discussions
Proactively unblock yourself and others; make pragmatic trade-offs between speed and quality
Help shape team culture and engineering practices in your area of expertise.