Top Engineering Jobs

Leads delivery of complex software features for desktop utility design tools, translating ambiguous requirements into technical plans and managing performance, correctness, and reliability. Establishes architecture, coding standards, CI/CD and AI-assisted development practices; mentors engineers and leads design and code reviews. Partners with product, QA, delivery, and customers to create reusable solutions, contribute to roadmaps, and represent the team in architecture discussions.

Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.

Develop and maintain C# and .NET functionality for electric and gas distribution software tools. Responsibilities include feature development, bug fixes, unit and integration testing, peer reviews, CI/CD support, refactoring, documentation, and Scrum participation. The engineer will collaborate with product, QA, and senior developers while responsibly using AI coding assistants and building expertise in modern software engineering practices.

Leads an 8–10 person software engineering team building and scaling SaaS applications. Responsibilities include people management, recruiting, mentoring, technical architecture, design discussions, delivery processes, strategic planning, cross-functional requirements gathering, and fostering engineering excellence. The role requires direct management experience, strong software development expertise, cloud and CI/CD knowledge, and the ability to build scalable, secure, resilient systems.

Build and enhance full-stack applications for renewable energy grid interconnection. Develop React and Next.js interfaces, geospatial visualizations, data dashboards, REST APIs, and gRPC integrations. Own features from UI design through database schemas, testing, deployment, and performance optimization. Use Python, Django, PostgreSQL, Docker, Kubernetes, and AWS while collaborating with energy domain experts and maintaining automated testing and CI/CD workflows.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

Design, build, and maintain scalable backend services and APIs (Java/Spring Boot, Node.js). Develop responsive front-end applications (TypeScript, Angular, React). Integrate with SQL Server, MongoDB, BigQuery. Collaborate with QA and product, follow CI/CD practices, and support geospatial features (OpenLayers). Participate in modernizing legacy Java frameworks and deployment automation.

Develop and maintain automated tests for web applications using open-source tools and an existing AI test automation framework. Design automation scripts, recommend test cases, establish QA standards, improve testing processes, triage issues, and collaborate with teams to resolve quality problems. The role requires extensive software QA automation experience, web application testing, CI/CD familiarity, and strong analytical and communication skills.

Design, build, and own backend Python services, high-throughput data ingestion pipelines, and AI/LLM-powered analyst agents (LLM tool integrations, prompt engineering, structured outputs). Contribute to architecture, observability, reliability, and operational support while collaborating with domain experts and optimizing compute-heavy systems.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.