Top Software Engineer Jobs

Entry-level software engineer working on integrations, automation, and data pipelines across eCommerce, inventory, fulfillment, and customer systems. Build APIs, webhooks, ETL, scripts (Python/C#/JavaScript), contribute to CI/CD, and evaluate Azure cloud services while collaborating with business and technical teams.

Develop, maintain, and enhance complex software systems using modern front-end and Node toolchains. Analyze requirements, design and implement features, debug and test components, write documentation, develop data queries, and lead team efforts as appropriate. Contribute to architecture, performance tuning, and software development process improvements.

Design, build, and maintain secure, scalable web applications and APIs using Java/Kotlin and Spring. Collaborate with architecture, security, QA, and operations; implement microservices, event-driven patterns, and REST/SOAP web services; support deployment, audits, and quality processes while following TDD/BDD and corporate standards.

Develop and own digital features end-to-end: design, write maintainable tested code, debug production, collaborate with product/QA/design, mentor junior engineers, provide architectural input and technical feasibility, partner with vendors, and support platform operations.

Develop and maintain mission-critical law enforcement web applications: write testable C#/.NET code with Blazor and Entity Framework, build unit/integration tests, consume RESTful APIs, work with SQL Server, and participate in Agile sprint planning, demos, and CI/CD workflows.

Design, implement, test, document, and support enterprise payments software modules. Troubleshoot APIs, integrations, and system-layer issues. Collaborate with project teams and provide technical support for assigned applications.

Senior Java engineer to design, develop, optimize, and support high-volume transactional systems. Collaborate with product owners, QA, DevOps and teammates to deliver, deploy, tune, document, and maintain production-critical applications and services.

Develop full-stack, AI-first MDM features using Java and modern JavaScript (React/Angular). Build responsive UIs, design REST APIs, write unit/integration tests, debug front-end and backend systems, and apply AI tools to accelerate development and improve code quality. Participate in Agile ceremonies and collaborate across Product, UX, QA, and Platform teams.

Design, develop, test, and debug 3D CAD/desktop software features using C#/.NET. Diagnose complex issues, refactor code, collaborate with architects and cross-functional teams, support customers, and produce technical documentation and reviews.

Develop scalable backend systems for map orchestration, collaborate with teams, troubleshoot issues, and handle large-scale data pipelines.

Design, develop, and maintain enterprise full‑stack applications; implement AI/ML pipelines and RAG systems; ensure DOE compliance and hardened security; collaborate with infrastructure and security teams; support CI/CD, containerization, and production incident response.

Join GLG's Product Engineering team to build, test, and maintain full-stack web applications using modern technologies. Collaborate with engineers, PMs, and designers to implement features, troubleshoot and enhance applications, participate in code reviews, and follow best practices in an iterative product environment.

Develop, integrate, test, document, and maintain variable degree-of-freedom simulations and mission design software for NASA and commercial spaceflight programs. Implement software enhancements, enforce coding standards, support lifecycle activities and Class C compliance, and collaborate with NASA personnel and contractor teams.

Develop, integrate, test, document, and maintain variable degree-of-freedom simulations and mission design software for NASA and commercial programs. Implement software enhancements, enforce coding standards, use SCM, CI/CD, and Agile practices, and support bringing/maintaining tools to NASA Class C per NPR 7150.2. Collaborate with NASA staff and contractors and produce technical documentation and recommendations.

Design and implement resource models, scalable APIs, and user-facing features for global SaaS. Integrate AI-driven workflows, build containerized cloud services (OpenShift/Docker/Podman), manage IAM orchestration, perform code reviews, establish integration fabric, and follow TDD and agile practices.

Develop and maintain server-side logic and modular backend components for IT automation using Python and Django. Build RESTful APIs with DRF, automate routine IT tasks, write unit and integration tests, participate in Agile cycles and code reviews, and maintain technical documentation.

Architect, implement, and optimize live and on-demand streaming pipelines in Wowza. Design scalable transcoding and packaging workflows, integrate accelerators, debug performance issues, support cross-functional projects, and serve as a streaming domain expert.

Lead design and delivery of secure, scalable full-stack solutions. Develop, review, and troubleshoot production code; drive automation and CI/CD; champion AI-assisted engineering practices; evaluate vendor and architectural options; mentor teams and promote resilient, reusable design patterns across the organization.

Design, deliver, and operate scalable, production-grade batch data pipelines and workflow orchestration on AWS. Implement data governance (cataloging, lineage, access), optimize distributed processing for performance and reliability, mentor engineers, perform quantitative analysis on large datasets, and apply enterprise-authorized AI-assisted practices responsibly within SDLC to improve automation and traceability.

Design, build, and maintain high-performance backend systems and APIs using Elixir and Phoenix. Collaborate with product, design, and engineering teams; own features end-to-end; write unit and integration tests; perform code reviews; optimize performance, scalability, and reliability; stay current with Elixir ecosystem.

Design, build, and scale backend and data infrastructure for an AI-driven CRM. Implement full-stack systems, data models, observability, and backend services to support LLM-powered workflows, ensuring reliability, performance, and scalability.

Design, build, and own backend systems, services, APIs, data pipelines, and infrastructure. Solve distributed systems, scaling, concurrency, and performance challenges. Integrate and operate large generative AI models in production. Instrument and iterate in production, and design core platform infrastructure including third-party integrations, storage, security, and internal APIs.

Design, implement, and ship full-stack AI-powered applications on Unframe's platform; collaborate with product, customers, and research teams to extend platform and UI, integrate AI into production, and deliver clean, tested code.

Lead architecture, design, and delivery of PET product features; write production full‑stack code; champion testing, observability, CI/CD and operational readiness; mentor engineers and collaborate with product to shape technical roadmap.

Early-career software engineer to help design, develop, test, deploy, and support full-stack applications. Work includes gathering requirements, code reviews, incident resolution, cross-functional collaboration, and integrating AI/GenAI capabilities into services in an agile environment.