Top Software Engineer Jobs

Lead and grow Nova Product’s engineering team, owning customer-facing workflows for subscriptions, data rooms, distributions, capital calls, wallet, and investor portals. Set technical direction, drive roadmap execution with Product and Design, maintain high quality and compliance standards, support hiring and team structure, and remain hands-on enough to unblock engineers and guide technical tradeoffs.

The role involves designing and implementing scalable IT solutions for clinical operations, collaborating with stakeholders, and establishing a strategic direction for technology in alignment with business needs.

Design and develop event-driven microservices, RESTful APIs, and full-stack features using C#, .NET, React, and Azure. Build scalable cloud-native solutions, write secure and tested code, conduct reviews, troubleshoot applications, and collaborate with cross-functional teams. The role includes decomposing requirements, maintaining documentation, mentoring junior developers, supporting integrations, and optimizing distributed systems while managing multiple priorities.

Participate in a summer software engineering internship developing an analytic-based web application as part of a collaborative team. Interns will help choose the application design and technology stack while gaining experience in modern software development, testing, DevOps, cloud services, databases, search technologies, front-end development, and machine learning. The program emphasizes mentorship, teamwork, communication, and preparation for potential post-graduation work supporting Northern Virginia customers.

Develop, test, deploy, maintain, and debug C++ applications for aircraft tracking, aircrew training, real-time range systems, simulations, and graphical operations displays. Integrate software with hardware, databases, networks, and external devices. Support field installations, user technical assistance, requirements analysis, cybersecurity assessments, vulnerability testing, and documentation while managing multiple project tasks.

Designs, builds, secures, and governs RESTful and GraphQL APIs supporting member, chapter, and agentic AI ecosystems. Owns API lifecycle management, semantic data models, versioning, testing, documentation, observability, CI/CD, and infrastructure as code. Implements serverless, event-driven AWS architectures with strong IAM, privacy, consent, and explainability controls. Collaborates across Product, Data Architecture, IT, Security, and ML teams to deliver reliable, scalable, secure, and governed APIs.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Supports full-stack development for a Modern Disability Claims program by writing and testing UI and API features, debugging defects, maintaining unit tests, participating in code reviews, and documenting software. Works under senior-engineer guidance while learning coding standards, development tools, processes, and the claims systems domain.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Build and improve ML and data pipelines, ship full-stack product features, and enhance Mac and Windows desktop applications. Work directly with enterprise customers to clarify requirements, deploy solutions, and turn customer learnings into repeatable product improvements. The role requires high ownership, rapid execution, strong engineering practices, and measurable customer outcomes across applied ML, AI systems, product, and infrastructure.