Top Software Engineer Jobs

Leads two scrum teams while remaining hands-on in software development at least 50% of the time. Designs, codes, tests, debugs, and supports secure, resilient, high-throughput distributed payment systems using Java and Spring Boot. Drives AI-assisted engineering practices, automation, CI/CD, code quality, operational stability, and responsible AI usage. Evaluates technical solutions with vendors and internal teams and leads engineering communities of practice.

Design, develop, test, debug, review, and deploy full-stack applications using Python and Java with Gradle. Gather requirements, resolve defects, create accessible user interfaces, integrate external requirements tools, and explore large language model and AI integrations. Collaborate with customers, product managers, developers, and leadership on project initiatives while mentoring junior engineers. The role is onsite at Fort Meade and supports an Intelligence Community mission.

Leads global engineering, architecture, delivery, and modernization for a securities valuation platform supporting pricing, valuation models, fund accounting, and NAV calculations. The role drives cloud adoption, resilient application architecture, DevOps, automation, data and AI capabilities, regulatory compliance, operational stability, and technology strategy. The Vice President also develops global talent, partners with business and risk stakeholders, and delivers scalable solutions across financial services.

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.

Interns build backend services, APIs, distributed systems, platform components, developer tools, and AI/ML infrastructure. Responsibilities span design, implementation, testing, deployment, maintenance, reliability, performance optimization, observability, and collaboration with Product, ML, Infrastructure, and customer-facing teams. The role is intended for undergraduate juniors and seniors graduating by June 2028 and offers mentorship through production-focused engineering work.

Develop and optimize compiler tools targeting Intel CPUs, GPUs, and accelerators. Responsibilities include adding compiler features, integrating processor capabilities, maintaining LLVM, Clang, SYCL, and Fortran frameworks, debugging, performance analysis, vectorization, parallelization, benchmarking, and open-source collaboration. The role supports AI and high-performance computing applications and involves cross-functional work with hardware, validation, and global engineering teams.

Lead architecture and delivery of complex full-stack systems with AI-integrated development practices. Design scalable backend and frontend solutions, write maintainable code, conduct code reviews, resolve performance and reliability issues, and drive releases with testing, documentation, and monitoring. Collaborate with product, design, data, and operations teams to shape roadmaps, rapidly prototype solutions, and communicate technical concepts clearly.

Leads architecture and delivery across device, mobile app, and cloud systems. Sets technical direction, drives cross-team initiatives, writes production code, guides migrations, resolves complex issues, and improves reliability, observability, security, cost, and developer workflows. Mentors senior and Staff engineers, establishes scalable technical decision practices, and partners with data science, AI, and platform teams on production integrations.

Build AI-powered developer infrastructure for the core servicing platform, including coding-tool harnesses, scaffolding, context retrieval systems, evaluation frameworks, and workflow automation. Integrate AI assistance into CI/CD, code review, testing, and developer feedback loops. Establish technical direction, solve cross-team engineering problems, create reusable tooling, and enable platform teams to adopt AI-assisted development at scale.

Develop scalable full-stack and AI-powered solutions for regulatory, data, and analytics problems within BNY’s Finance Hub. Responsibilities include gathering requirements, designing and implementing software, collaborating with platform, data, and product teams, evaluating AI methodologies, translating business problems into algorithms, and documenting solution designs for enterprise adoption.

Own product features end to end, from researching freight agents’ workflows and defining solutions to designing interfaces, building APIs and data models, and shipping to production. The role requires full-stack development, strong product judgment, user research, rapid iteration, design-system ownership, and AI-first working practices. You will partner with product and engineering peers to build tools that make independent freight agents more effective.

Leads software engineering initiatives within an agile banking technology team. Designs, develops, reviews, debugs, and troubleshoots secure production code; drives responsible AI-assisted development practices; improves automation and operational stability; evaluates architectures and vendors; and promotes modern engineering technologies. The role requires advanced programming, generative AI and machine learning familiarity, distributed systems, cloud platforms, microservices, APIs, databases, containerization, performance testing, and chaos engineering experience.

Leads enterprise integration strategy and establishes a modern software engineering function. Oversees APIs, EDI, event-driven architecture, cloud-native applications, AI agent integration, DevSecOps, and operational excellence. Builds and manages engineering, architecture, and EDI teams while defining technology standards, delivery practices, governance, and operating models. Partners with business and technology leaders to deliver secure, scalable integrations and AI-enabled solutions across SAP, Snowflake, Salesforce, Workday, customers, and suppliers.

Design, develop, optimize, and maintain scalable C++ game software and systems across PC, console, and mobile platforms. Integrate graphics, audio, physics, AI, and advanced peripherals such as VR/AR headsets and motion controllers. Collaborate with designers and developers, troubleshoot system issues, participate in code reviews, and contribute throughout the game development lifecycle from prototyping through release.

Develop and maintain custom applications, APIs, integrations, reports, automation, and AI-enabled solutions for business functions including Finance, HR, Payroll, and Legal. Gather requirements, improve workflows, troubleshoot systems, support deployments, document solutions, and implement security and data governance controls. Collaborate with technical and non-technical stakeholders, vendors, and third-party providers while delivering solutions in a Microsoft .NET environment.

Build and extend Skydio’s AI coding-agent platform, including agent integrations, MCP servers, sandboxed execution, secure permissions, secrets handling, and auditability. Develop infrastructure for internal tools and agents, collaborate with firmware, autonomy, cloud, and application teams to improve workflows, measure adoption and engineering impact, and drive internal adoption of AI development tools.

Develop and deploy software solutions for AI/ML, big data, and cloud projects supporting Naval Acoustics. Responsibilities include requirements analysis, system design, enterprise application integration, software development, systems analysis, troubleshooting, technical documentation, and collaborating with multidisciplinary teams in an agile environment. The role requires modern programming, containerization, cloud deployment, architecture and data-flow modeling, technical leadership, and support for operational end users.

Leads software engineering efforts for secure, scalable banking technology. Designs, develops, tests, debugs, and reviews production code while guiding teams in responsible AI-assisted development. Applies Java, cloud, microservices, distributed systems, generative AI, performance testing, and chaos engineering practices. Evaluates technical solutions with vendors and internal teams, automates recurring remediation, improves operational stability, and leads engineering communities of practice.

Build AI-powered customer support workflows, tools, integrations, and knowledge systems. Investigate recurring issues, improve AI troubleshooting, automate repetitive support tasks, develop dashboards, and partner with Technical Support, Customer Success, and Product Engineering to improve customer experience and scalability.

Develop and maintain scalable full-stack web applications for an advertising measurement and reporting platform. Build responsive interfaces, APIs, backend services, microservices, database integrations, and AI agent solutions. Optimize performance, scalability, reliability, and data integrity; troubleshoot complex issues; write automated tests; conduct code reviews; mentor junior engineers; and collaborate with cross-functional teams and contractors throughout the development lifecycle.

Develop full-stack, infrastructure, robotics, and graphics products for autonomy development workflows. Engineers build features and tools across the technology stack, collaborate with domain experts and users, influence product decisions, and solve complex engineering problems in a fast-paced environment.

Leads software engineering teams and complex technology initiatives within Operations Collections. Establishes governance for agentic AI-enabled engineering, SDLC automation, quality controls, security, resiliency, and traceability. Directs technical strategy, budgets, resources, talent development, cloud-native solutions, and cross-functional delivery while influencing senior stakeholders and enabling reusable solutions across business domains.

Build and improve developer tooling across local development, CI, release, and post-deployment workflows. Identify workflow friction, quantify its cost, prioritize solutions, and deliver internal systems end to end. Partner with engineers to increase productivity, reduce risk, and drive tool adoption. Measure the impact of shipped tooling and establish standards for a newly forming developer tooling function.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Build and evolve ngrok’s AI Gateway, including real-time AI traffic handling, policy enforcement, rate limits, usage caps, access rules, token tracking, observability, and explainability. Design customer-focused gateway abstractions and collaborate with Gateway, Customer Data, Platform, product, and design teams to align enforcement, usage, and billing signals. The role involves full-stack development using primarily Go and TypeScript in a production AWS, Kubernetes, and distributed-systems environment.