Top Software Engineer Jobs

Design and implement backend and systems-level software for defense and intelligence applications. Integrate machine learning and signal-processing algorithms into real-time systems, transition models into field-ready applications, collaborate with domain experts, and build extensible software solutions for complex customer requirements.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Responsibilities include evaluating processing pipelines, troubleshooting anomalies, supporting technical documentation and transition plans, and collaborating with government, intelligence, research, and industry partners. The role requires expertise in EO/IR signal processing, infrared phenomenology, OPIR data formats, Python development, and AI/ML applications.

Develop and transition advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Troubleshoot processing pipelines, diagnose sensor and software anomalies, analyze OPIR data, and support technical documentation and transition planning. Collaborate with NGA, Department of Defense, Intelligence Community, research organizations, and external agencies on next-generation sensing technologies.

Leads a global engineering organization of approximately 100 employees across application development, data engineering, platform engineering, AI, and technical operations. Defines engineering strategy, modernizes platforms, improves delivery, quality, security, reliability, and operational excellence, and drives responsible AI adoption. Builds leadership capacity, scalable processes, architecture discipline, and technical talent while partnering with product, data, security, operations, clients, and executives to connect technology investments with business outcomes.

Leads full-stack software engineering within JPMorgan Chase’s supply chain technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable production systems; advancing AI-assisted engineering practices; automating recurring issue remediation; ensuring application resiliency and security; and evaluating vendor and internal technology solutions. Requires strong software development, cloud-native, agile, financial-services technology, and responsible AI expertise.

Direct the architecture, development, and delivery of AI-enabled client applications across mobile, desktop, and embedded platforms. Lead a team of 5–8 senior engineers while remaining hands-on with production code, architecture, performance optimization, multimodal AI integration, streaming interfaces, offline resilience, security, telemetry, and release planning. Build modular client frameworks that support distributed engineering contributions across Cisco’s MyAgent enterprise AI platform.

Develop and modernize mission-critical air traffic automation software using microservices, REST APIs, distributed systems, databases, and cloud-native technologies. Responsibilities include performance optimization, code reviews, mentoring, troubleshooting, API and interface stability, legacy modernization, technical documentation, and participation in SAFe/Agile ceremonies. The role requires collaboration with systems engineering, product delivery, and DevSecOps teams while adopting AI-assisted development practices.

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.

Build and own Android growth and monetization experiments across subscriptions, pricing, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, manage staged rollouts, monitor performance, and act on results. Use AI tools throughout development, contribute to Android architecture and engineering practices, participate in on-call support, mentor engineers, and help scale reliable mobile experiences to tens of millions of users.

Develop and deliver secure, AI-enabled, cloud-native full-stack solutions for lending platforms. Build APIs, integrations, reporting capabilities, and applications using Azure, .NET, Python, React, SQL, and ETL technologies. Apply Prompt Engineering, MCP, and RAG patterns; implement CI/CD pipelines; support observability, governance, security, and compliance. Collaborate with architects, business partners, QA, and engineers, participate in reviews, guide junior developers, and maintain technical documentation.

Teach Upper School technology and computer science courses, including programming, AP Computer Science, CAD/CAM, cybersecurity, fabrication, and artificial intelligence. Develop engaging project-based instruction, assess student learning, integrate technology across the curriculum, and collaborate with the Educational Technology Department. Communicate with students and families, advise students, participate in school committees and events, pursue professional development, and maintain a safe, inclusive classroom environment.

Leads strategy, development, modernization, and operations for global core accounting applications. Oversees architecture, cloud adoption, engineering delivery, platform stability, resilience, security, regulatory compliance, automation, and data and AI capabilities. Partners with product, business, risk, operations, and client-facing teams to deliver scalable technology and measurable business outcomes across multiple regions.

Build and ship marketing sites, landing pages, and microsites across five product brands using AI coding agents. Maintain distinct brand identities, reusable design systems, SEO foundations, information architecture, and frontend quality. Review and correct AI-generated code, copy, and design; conduct competitive research; manage cross-brand component decisions; and use browser inspection and screenshot-based critique loops to deliver production-ready work.

Develop and operate secure, scalable full-stack web applications and AI-powered agents supporting Microsoft cloud capacity delivery. Responsibilities include coding with C# and .NET, building React-based interfaces, integrating enterprise APIs, implementing identity and access controls, applying observability and reliability practices, and participating in deployments, code reviews, incident response, and root-cause analysis.

Lead the technical vision and architecture for AI-powered developer productivity tools and Agentic SDLC solutions. Partner across product, design, and engineering to define roadmaps, guide complex systems design, prototype strategic technologies, and drive scalable organizational adoption. The role requires hands-on technical leadership, cross-functional collaboration, developer productivity measurement, and expertise in AI development tools, AWS infrastructure, enterprise security, high availability, and cost optimization.

Develop, test, debug, document, and support production software for industrial applications. Make technical trade-offs involving scalability, reliability, performance, and maintainability; provide customer support; review code and designs; collaborate on priorities; and use AI-assisted coding tools throughout the development lifecycle.

Develop and support cloud-native Python backend services, RESTful APIs, integrations, and data solutions. Help move AI/ML models and pipelines into production for governance, risk, and compliance applications. Write automated tests, troubleshoot development and production issues, and collaborate with product, architecture, DevOps, and infrastructure teams in an Agile environment.

Owns the implementation, hardening, and polish of AI behaviors and systems for a narrative-driven AAA game. Collaborates with design and animation teams to create believable enemy behaviors, ensure critical AI systems are stable and reliable, and deliver a shipping-ready player experience. Requires extensive Unreal Engine experience, strong C++ skills, modern game AI architecture knowledge, animation expertise, and at least one shipped game focused on AI.

Design and deploy scalable enterprise platforms, microservices, APIs, event-driven systems, and cloud-native services. Use generative AI, LLMs, and agentic coding tools to accelerate development, testing, documentation, refactoring, and modernization. Lead adoption of AI-assisted engineering practices, create productivity workflows, review human- and AI-generated code, mentor engineers, and improve CI/CD processes while maintaining security, reliability, compliance, and architectural standards.

Build and ship end-to-end product features across Rails, React, and Python. Lead execution cadence, unblock teammates, manage scope, and drive releases. Use generative AI tools for development while maintaining quality. Partner with product, design, and GTM teams to turn customer feedback into improvements. Own product areas, improve reliability and performance, and iterate rapidly based on customer usage.

Leads the engineering organization responsible for F5’s OpenTelemetry-based AI Data Fabric. Owns the platform’s strategy, roadmap, architecture, reliability, security, privacy, cost efficiency, vendor relationships, and multi-cloud expansion. Builds and develops engineering managers, drives predictable delivery, establishes SLOs, oversees incident response, and ensures data quality and platform contracts support AI/ML, analytics, data engineering, and catalog teams.

Leads software engineering teams developing and modernizing scalable, cloud-native systems for claims adjudication and PBM platforms. Responsibilities include people leadership, hiring, delivery execution, architecture guidance, Agile management, cloud cost optimization, production reliability, vendor coordination, and responsible AI tool adoption. The role drives modernization from legacy IBMi/AS400 and RxClaim systems while ensuring security, privacy, regulatory compliance, and effective executive communication.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.

The HPC & AI Performance Engineer will execute benchmarking projects, analyze performance, and optimize HPC systems using scientific software and methods.