Top Software Engineer Jobs

Build and own AI-powered regulatory intelligence and geospatial systems for energy and infrastructure risk analysis. Responsibilities include developing long-running AI agents, benchmarking workflows, building research tools, creating customer-facing interfaces, and working across frontend, backend, data, and infrastructure. The role requires end-to-end product ownership, investigation of complex permitting problems, and continuous improvement based on customer usage.

The Director of Software Engineering will lead and develop the Software Engineering organization, overseeing technical execution, managing teams, and aligning strategies with business objectives.

Develop and maintain backend services, REST APIs, and distributed systems for secure cloud connectivity. Build cloud-native solutions across AWS and GCP, troubleshoot application and networking issues, improve testing and observability, and support production reliability through on-call participation. The role primarily uses Go, with opportunities to contribute to TypeScript and React frontend applications and collaborate across engineering, infrastructure, security, and product teams.

Build and deploy custom AI agent workflows for enterprise customers, integrating NinjaTech with data sources, identity systems, CRMs, ticketing platforms, and internal APIs. Lead technical discovery, architecture, security reviews, customer adoption, and expansion. Develop prompts, tools, guardrails, and automations; troubleshoot production deployments; communicate with executives and frontline users; and provide feedback or reusable components to core engineering.

Design, develop, and modernize scalable front-end UI applications using Angular and TypeScript. Lead large UI projects, enforce coding standards, write technical specifications, optimize performance, mentor engineers, collaborate full-stack, and support CI/CD and Agile practices to deliver user-centric features.

Design and develop scalable, real-time distributed software for warehouse automation and robotic systems. Solve complex NP-hard optimization problems using algorithms, heuristics, graph-based methods, bin packing, and sequencing. Build microservice-based applications with .NET Core, RabbitMQ, OpenAPI, and Kubernetes; analyze performance, debug systems, and improve reliability. Collaborate in an Agile/Scrum environment and travel to customer sites as needed.

Build and operate production software autonomously while working closely with customers, product managers, and design. Investigate repair-industry workflows, shape product direction, design and implement solutions, and deliver trustworthy AI-assisted experiences. Define and measure outcomes, improve customer value and production performance, make pragmatic technical trade-offs, mentor teammates, and create reusable tools and patterns. The role emphasizes end-to-end engineering across user experience, backend services, and data flows.

Build and optimize low-latency trading systems in C++ and Rust, translating quantitative research into production signals. Responsibilities include exchange connectivity, market data feeds, order reconciliation, concurrency and performance optimization, production debugging, and infrastructure work across GCP and Kubernetes. The role also involves writing technical specifications, reviewing code, guiding engineers, and onboarding junior team members.

Develop and maintain Java-based applications and RESTful web services. Translate business requirements into technical designs, create unit tests, participate in code reviews, estimate development effort, troubleshoot issues, and recommend improvements. Collaborate with Agile teams while supporting software quality, performance, integration, and delivery. The role requires Java, JavaScript, Angular, relational database, Linux, testing, and application architecture experience, plus eligibility for a Federal Public Trust clearance.

Own the technical delivery, automation, integration, security, and reliable operation of workforce applications including ADP, Jira, and Confluence. Build workflow automation and AI-powered self-service using scripting, APIs, low-code tools, and governed agents. Partner with business stakeholders to improve productivity, manage enterprise application portfolios, monitor production services, perform root-cause analysis, and establish secure, reusable engineering standards. Mentor peers and support testing, releases, documentation, adoption, and on-call operations.