Top Software Engineer Jobs

Develop and support platform-specific iOS and Android mobile applications and mobile web applications. Responsibilities include requirements elaboration, estimation, design, programming, debugging, unit and integration testing, root cause analysis, technology evaluation, and Agile/Scrum delivery. The developer will collaborate with designers and cross-functional teams, practice test-driven development and continuous integration, mentor teammates, improve engineering practices, and deliver user-friendly solutions.

Re-architect and operate a globally distributed, multi-tenant Model-as-a-Service platform. Own Go backend services, API compatibility, inference routing, Kubernetes-based model serving, performance optimization, multi-region reliability, tenant isolation, observability, metering, and invoice-grade billing. Lead migrations, define SLOs, support on-call operations, mentor engineers, and ensure scalable, secure, reversible delivery for a revenue-bearing platform.

Leads hands-on development of full-stack applications, backend services, APIs, microservices, integrations, and distributed message-driven systems using C# and .NET. Designs reliable asynchronous workflows, data models, and service contracts; troubleshoots production issues; supports monitoring and optimization; contributes to architecture, testing, code reviews, and agile planning; mentors engineers and applies AI-assisted development responsibly.

Develop and maintain Python and FastAPI backend services for a healthcare data quality platform. Build APIs for clinical data ingestion, validation, scoring, reporting, and exports. Parse CCDA healthcare documents using lxml and XPath, improve clinical data quality algorithms, and support secure interoperability initiatives. Responsibilities include architecture decisions, SQL performance troubleshooting, cloud deployment, security governance, testing, and stakeholder communication.

Designs, develops, and supports secure, scalable Azure applications, APIs, microservices, integrations, and event-driven systems using C# and .NET. Owns solutions end to end from requirements and architecture through deployment, observability, disaster recovery, and production support. Leads technical decisions, performance and cost optimization, DevSecOps, testing, incident response, and AI-assisted engineering practices while mentoring developers and establishing reusable standards.

Develop and test web and mobile platform features, write maintainable code, manage SQL Server databases, integrate APIs and third-party tools, participate in code reviews, troubleshoot bugs, and improve accessibility and user experience.

Designs, develops, tests, and maintains scalable full-stack enterprise applications, ASP.NET Core APIs, Angular applications, SQL Server systems, and secure integrations. Leads architecture decisions, code reviews, troubleshooting, production reliability, CI/CD, observability, and technical documentation while mentoring engineers and collaborating with product, QA, architecture, and business teams.

Develop and maintain software and systems using Java, C, and C++ across Linux and Windows. Lead encryption library and key management service development, support code migration, apply engineering best practices, and troubleshoot system performance. Collaborate on planning, testing, documentation, defect resolution, and project execution. The role requires cryptographic expertise, REST APIs, cloud platforms, Docker, Kubernetes, and an active TS/SCI clearance with polygraph.

Provides strategic and hands-on technical leadership for government healthcare modernization projects. The role includes architecture, software development, cloud deployment, CI/CD, infrastructure as code, APIs, databases, data pipelines, testing, and production support. The engineer advises Medicaid policy analysis and process automation initiatives, leads stakeholder and client discussions, mentors teams, shapes engineering standards, supports staffing and hiring, contributes to business development, and ensures secure, compliant, human-centered delivery across complex government systems.

Own and extend a custom WebGL2 rendering engine and Three.js 3D brain visualization layer for real-time EEG data. Develop GLSL shaders and GPU-accelerated signal processing, optimize rendering and memory performance for large streaming datasets, and integrate visualization components into a Vue frontend. Collaborate with neuroscientists and clinical specialists to translate algorithms into production software while resolving browser, GPU, and rendering compatibility issues.