Top Software Engineer Jobs

Own and evolve a production platform spanning backend services, AWS infrastructure, iOS, and web applications. Scale multi-tenant systems, improve reliability of LLM-powered features, implement security and privacy controls, integrate customer tools, and guide decisions on refactoring or replacing existing systems. The role requires strong backend or infrastructure ownership, production LLM experience, AWS expertise, clear documentation, and collaboration with technical and scientific stakeholders.

Develop and maintain business applications in a metadata-driven, object-oriented environment for U.S. federal customers. Collaborate with product managers and QA engineers on requirements and functional design, resolve customer issues, perform software performance analysis, and participate in code reviews and pair programming. The role requires U.S. citizenship and the ability to obtain and maintain a TS/SCI with CI Poly clearance, with potential onsite work in the DMV area.

Build and lead development of Belisar’s full-stack CRM platform from the ground up. Responsibilities include designing distributed architectures, coding across the stack, reviewing code, mentoring engineers, coordinating releases, developing AI and LLM-powered features, collaborating with cross-functional teams, and participating in hiring. The role requires strong backend, frontend, data, search, infrastructure, and system design experience, along with technical leadership and customer communication skills.

Build and ship early-stage software products for Watershed’s climate and ESG platform. The role involves collaborating with pilot customers, shaping product vision, working cross-functionally with platform teams, learning the climate domain, and rapidly iterating on solutions. Engineers will help determine when to leverage existing platform capabilities versus building independently, while contributing to long-term platform direction and market expansion.

Design and implement Azure cloud architectures and applied AI solutions for data science and experimentation projects. Provide technical architecture leadership, develop and deploy software, conduct security reviews and threat modeling, resolve service issues, guide users, document solutions, and present capabilities to technical and executive audiences. Build proofs of concept and MVPs that progress to production deployments while collaborating with data scientists, engineers, researchers, and external partners.

Design, implement, test, and ship secure, high-performance C++ features for Microsoft Edge, focusing on enterprise security, Data Loss Prevention, and Copilot integrations. Lead architecture across browser, cloud, identity, compliance, and management systems; collaborate cross-functionally to deliver scalable customer solutions. Mentor engineers, influence technical strategy, and improve product quality through telemetry and customer feedback.

Designs, develops, tests, and operates secure Azure data services in air-gapped and regulated environments. Responsibilities include writing maintainable code, debugging incidents, conducting code reviews, improving reliability and security, evaluating architectural options, contributing to design documents, and mentoring engineers. The role applies AI tools across the software development lifecycle and ensures solutions meet performance, scalability, compliance, privacy, and resiliency requirements.

Lead architecture and hands-on delivery of production-critical software across Python, FastAPI, React, TypeScript, Java, cloud, data, security, and manufacturing integrations. Build distributed and event-driven services, improve reliability and observability, guide CI/CD and infrastructure automation, and support edge-to-cloud computer-vision and machine-learning solutions. Provide technical leadership, mentor engineers, align cross-functional teams, make architectural decisions, and evolve reusable platform capabilities across manufacturing sites.

Build and operate production software, backend services, data pipelines, infrastructure, and workflow automation for autonomous vehicle simulation testing. Automate test creation, execution, validation, monitoring, and maintenance while integrating evaluation systems and partner tools. Lead technical design, code reviews, architecture, and cross-functional execution across autonomy, safety, systems, data, and infrastructure teams. Improve reliability, observability, quality, and scalability of simulation testing through cloud-native engineering and analytics.

Own technical strategy and architecture for scalable APIs, services, data platforms, and distributed systems across multiple teams. Drive reliability, performance, security, technical debt reduction, and organization-wide engineering standards. Partner with product, design, machine learning, and leadership teams to translate ambiguous goals into technical plans. Guide safe adoption of AI-assisted development, mentor senior engineers, lead architecture reviews, and remain hands-on with high-impact engineering work.

Own major product areas end to end, driving roadmaps with customers and product managers. Build and ship full-stack features across frontend, backend, and databases, using AI agents for coding and review. Create technical design documents, collaborate with staff engineers, and work directly with finance professionals, sales, and customer success to turn user needs into product improvements.

Build and own major areas of an AI platform across the frontend, backend, databases, and background systems. Lead product development end to end, write technical designs, review code and architecture, and improve engineering practices. Collaborate directly with customers, sales, customer success, and product to deliver finance-focused features. Serve as a force multiplier by leading product or infrastructure initiatives and mentoring senior engineers.

Lead end-to-end product and system design and implementation on a full-stack, AI-native engineering team. Collaborate on architecture and technical roadmaps, review blueprints and code, develop across TypeScript, React, React Native, Node, and Express, and work directly with customers to turn feedback into shipped products.

Lead design and scale of Python-based UI/API/embedded automation frameworks with CI/CD integration for video/OTT testing. Build lab governance, deploy field-level network emulation, triage complex production defects, drive release readiness, adopt AI-driven testing and virtualization, and coordinate cross-functional stakeholders and vendors to optimize lab capacity and reliability.

Design, develop, and scale secure payment platforms using microservices, APIs, and micro-frontends integrated with Stripe and other gateways. Collaborate with product and engineering teams throughout the software development lifecycle, troubleshoot production issues, ensure reliability and performance, and mentor junior engineers. The role requires full-stack development expertise and experience building scalable, resilient payment solutions.

Build full-stack platform components and product features for provider engagement, including profile services, scoring pipelines, recommendation APIs, personalization, and ML integrations. Own features from database through frontend and production, write tested and observable code, contribute to architecture and engineering practices, collaborate cross-functionally, and mentor junior engineers.

Lead backend engineering for a video platform that uses generative AI to create cinematic real estate walkthroughs. Design scalable GraphQL services, data models, asynchronous video-generation pipelines, and reliable cloud infrastructure. Guide architecture, prototype emerging AI technologies, mentor engineers, and collaborate with product, design, and analytics teams. The role requires strong Java, Python, Spring Boot, GraphQL, SQL, AWS, distributed systems, observability, and system design expertise.

Leads end-to-end architecture and delivery of enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data architectures, and nonfunctional requirements. Provides technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with monitoring and responsible AI controls. Partners with data science teams and drives secure, resilient, observable solutions through the full software development lifecycle.

Designs, develops, and maintains secure, scalable, high-performing software applications for a mission-critical enterprise. Supports modernization initiatives, meets operational objectives, collaborates across teams, applies Agile practices, and provides technical mentorship and process optimization. The role requires active Top Secret clearance and willingness to obtain a polygraph.

Leads software architecture, development, testing, performance engineering, security, incident resolution, and technical direction for Mastercard’s large-scale settlement platform. Guides backend, frontend, and platform engineering initiatives; enforces quality and secure coding standards; mentors engineers; drives reliability, observability, CI/CD, cloud-native delivery, and operational excellence across distributed systems.

Develop and operate large-scale distributed payment systems using reactive architectures. Responsibilities include software delivery, testing, deployment, automation, troubleshooting, service integration, architecture improvement, observability, secure coding, agile collaboration, and mentoring engineers. The role requires expertise in Java, CI/CD, Kafka, Flink, OpenTelemetry, cloud-first development, infrastructure as code, and automated testing.

Develop and support secure, scalable full-stack applications for Mastercard’s B2B payment platform. Responsibilities include designing front-end applications, REST APIs, and backend services; writing and maintaining comprehensive tests; optimizing performance and reliability; implementing CI/CD workflows; troubleshooting production incidents; reviewing code; promoting engineering standards; and mentoring less-experienced engineers within an Agile environment.

Leads the design, development, testing, deployment, and support of secure, scalable authentication products and distributed enterprise applications. Builds Java microservices, APIs, and full-stack components; drives architecture, observability, resilience, operational readiness, and code quality. Troubleshoots complex systems, leads testing and code reviews, mentors engineers, collaborates with product and business stakeholders, and advances engineering practices across teams.

Leads software engineering for GEICO’s partner integration platform, including technical roadmap execution, scalable distributed system development, automated testing, CI/CD, production support, and incident management. Collaborates with product managers, business partners, and engineering teams to solve complex problems, improve platform capabilities, and enable continuous delivery. The role also contributes feature code, reviews pull requests, manages infrastructure automation, and supports high-volume, highly available production services.

Design, deliver, and operate scalable .NET Core backend services and APIs for an AI-driven advertising platform. Lead technical design, improve reliability and observability, conduct post-mortems, review code, mentor engineers, document architecture, and collaborate with Product and Engineering leadership. The role focuses on distributed systems, high-throughput workloads, partner integrations, performance, security, and platform growth.