[Hiring] Full Stack Engineer @Gravitate Energy LLC

Role Description

If you are considering this role, you are someone who has moved past needing a fully specified ticket. Hand you a feature of moderate complexity and you break it into tasks, deliver it on time, and raise the risks you spot along the way instead of surfacing them late.

• You’ll own features and components within your product area in Gravitate’s fuel logistics platform, and you’ll be responsible for the quality and ongoing maintenance of what you build — not just the first version that shipped.
• This is a genuinely full-stack role. You’ll write Python on the service and API side, model data in MongoDB, and build the React and TypeScript interfaces on top — following a feature from the data model through the API to the screen a dispatcher actually uses.
• You’ll also be a reliable member of the on-call rotation for your product area — debugging incoming bugs and incidents independently, and contributing to the monitoring, observability, and performance improvements that make your area healthier over time.
• This is a role with room to grow, and we’ll be explicit with you about what the next level looks like.
• Engineers who do well here start by delivering medium-sized work accurately and reliably, then take on larger and more ambiguous projects, carry more weight in design discussions, and begin mentoring the engineers behind them.
• We’re strongly against artificial separations of responsibility and throwing work “over the wall.” As an engineer here, you’re part of the product team — in the room for the product conversation, not downstream of it.

Qualifications

• You deliver reliably. You can take a medium or large-sized feature with real unknowns, break it into tasks, estimate it honestly, and land it. When something threatens the date, you say so early.
• You work end-to-end. You’re not precious about which layer a problem lives in. You’ll follow an issue from the UI through the API to the query and fix it where it actually belongs.
• You write code other people can live with. Well-tested, readable, and consistent with the codebase around it. You debug your own problems before escalating them.
• You’re building your design judgment. You bring viable alternatives to design discussions rather than waiting to be told, and you can write a clear design doc for a feature in your area.
• You give and take feedback well. Your code review comments are specific and constructive. You’re receptive to feedback on your own work and you act on it.
• You’re curious about the business. You want to understand what fuel supply and logistics teams actually do with this software, because knowing that makes every decision you make a better one.
• You want to work in an AI-enabled workflow. You see the impact of AI on code generation and are willing and able to see how it can make you more productive.

Requirements

• 3+ years of professional software engineering experience building and shipping production software.
• Proficiency in both a server-side language (Python preferred) and TypeScript/React — or real depth in one, plus a demonstrated track record of picking up the other.
• Demonstrated ability to independently deliver medium-sized features with some unknowns, on time.
• Able to debug and resolve small-to-medium issues independently, across both the frontend and the backend.
• Experience writing well-tested code, plus working knowledge of CI/CD and deployment practices.
• Comfortable participating in an on-call rotation for the product area you own.
• Clear written and verbal communication — able to produce small-to-medium technical documents and give constructive code review feedback.
• Receptive to feedback and actively acts on it.
• Openness to utilizing and becoming an expert in AI-assisted development to supercharge your ability to get stuff done.

Nice to Have Experience

• Hands-on experience with our stack: Python, React and TypeScript, MongoDB, Kubernetes, GCP or Azure.
• Experience in a B2B SaaS or enterprise software environment.
• Background in a logistics, supply chain, or energy/fuel domain.
• Experience with data-dense enterprise interfaces — large tables and grids, scheduling views, or real-time updates.
• AI engineering experience – working with production agentic systems and ML / operations models.

Benefits

• Collaborative work environment with a focus on innovation.
• Opportunities for professional growth and development.
• Engagement with a talented team working on impactful projects.