Software Engineer ( C#/.NET)

Enchanted Rock•Houston, TX

40d•Hybrid

About The Position

We are ERock! Enchanted Rock is a leader and innovator of Electrical Resiliency-As-A-Service. Our advanced dual-purpose microgrids protect companies, critical infrastructure, and communities from unexpected power outages, ensuring business continuity and civic durability. Enchanted Rock's dual-purpose microgrids use natural gas and renewable natural gas (RNG) to drive the nation's most dependable microgrids - all while producing significantly lower to zero carbon emissions than traditional diesel backup generators. Powered by GraniteEcosystem, our revolutionary software system, Enchanted Rock solutions provide 24/7/365 monitoring, optimization, and forecasts to enable worry-free, reliable power for businesses. The Enchanted Rock solution brings together patented technologies, advanced dual-purpose microgrid designs and integrated end-to-end services. The Power is On and we keep it on. What you'll do… As a Software Engineer on the Granite Team, you will build and evolve C#/.NET software on Azure that powers our edge-to-cloud IoT platform used across the company. Turn real-world operational problems into simple, reliable services that move data from devices to decisions. Focus on back-end services and data flow, with occasional data wiring to UI. Practice test-driven development and ship automatically through CI/CD pipelines. Use telemetry, distributed tracing, and exploratory analysis to diagnose and improve systems at fleet scale. Work with an enthusiastic team of peers and partners across software, hardware, data science and engineering teams to turn complex signals into actionable insights. You'll make an impact by: Breaking goals into testable milestones and delivering steadily with ownership. Raising clarity early with precise questions and concise plans. Improving availability, latency, and cost through measurement and iteration. Shaping how we capture, organize, and retain datasets of tens of billions of points while keeping solutions simple. Prototyping simple options and choosing what ships based on measured results. Translating goals into small, testable deliverables that improve availability, latency, or cost. Clarifying intent early with precise questions and concise interface notes, then delivering on schedule. Learning continuously through hands-on projects, peer mentorship, and collaboration across disciplines. You'll sweep us off your feet if you: Get energy from learning new things and using technology, AI included, to solve hard problems. Balance pragmatism with curiosity; you simplify first, then refine. Communicate clearly, collaborate well, and stay calm under pressure. Make thoughtful trade-offs and care about maintainability, tests, and observability. Trace problems end-to-end through telemetry, from device messages to storage and APIs. Choose appropriate stores for streaming and time-series data and explain trade-offs. Care about observability, on-call readiness, and runnable runbooks. Enjoy working with experts from diverse engineering backgrounds and communicating clearly. Embody Enchanted Rock's Core Competencies : Stay Anchored: Deliver reliable and resilient software that forms the backbone of our operations. Make it Matter: Produce work that has a tangible, positive impact on our business performance and efficiency. Remain Calm & Confident: Tackle challenges methodically, even under pressure. Be Resilient: Adapt swiftly to changing requirements and overcome obstacles with persistence. Keep Imagining: Continually innovate and explore new technologies that drive improvement.

Requirements

5+ years of professional software engineering experience; Bachelor's in CS/Engineering or equivalent practical experience.
Proficiency with C#/.NET and object-oriented design; experience building cloud applications--Azure strongly preferred.
Working knowledge of REST and relational databases, plus comfort with analytics/columnar data stores.
Experience with automated testing and CI/CD.
Ability to investigate issues using logs, metrics, and traces, and to explain findings clearly.
Willingness to learn fast and use AI tools to move faster.
Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry 20 pounds, vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone.

Nice To Haves

Get energy from learning new things and using technology, AI included, to solve hard problems.
Balance pragmatism with curiosity; you simplify first, then refine.
Communicate clearly, collaborate well, and stay calm under pressure.
Make thoughtful trade-offs and care about maintainability, tests, and observability.
Trace problems end-to-end through telemetry, from device messages to storage and APIs.
Choose appropriate stores for streaming and time-series data and explain trade-offs.
Care about observability, on-call readiness, and runnable runbooks.
Enjoy working with experts from diverse engineering backgrounds and communicating clearly.
Stay Anchored: Deliver reliable and resilient software that forms the backbone of our operations.
Make it Matter: Produce work that has a tangible, positive impact on our business performance and efficiency.
Remain Calm & Confident: Tackle challenges methodically, even under pressure.
Be Resilient: Adapt swiftly to changing requirements and overcome obstacles with persistence.
Keep Imagining: Continually innovate and explore new technologies that drive improvement.

Responsibilities

Turn real-world operational problems into simple, reliable services that move data from devices to decisions.
Focus on back-end services and data flow, with occasional data wiring to UI.
Practice test-driven development and ship automatically through CI/CD pipelines.
Use telemetry, distributed tracing, and exploratory analysis to diagnose and improve systems at fleet scale.
Work with an enthusiastic team of peers and partners across software, hardware, data science and engineering teams to turn complex signals into actionable insights.
Breaking goals into testable milestones and delivering steadily with ownership.
Raising clarity early with precise questions and concise plans.
Improving availability, latency, and cost through measurement and iteration.
Shaping how we capture, organize, and retain datasets of tens of billions of points while keeping solutions simple.
Prototyping simple options and choosing what ships based on measured results.
Translating goals into small, testable deliverables that improve availability, latency, or cost.
Clarifying intent early with precise questions and concise interface notes, then delivering on schedule.
Learning continuously through hands-on projects, peer mentorship, and collaboration across disciplines.