Top Software Engineer Jobs

Develop cloud software and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, RESTful services, distributed systems, cloud integration, infrastructure as code, containerization, testing, sustainment, and issue resolution. The role requires experience with Hadoop and big-data technologies, Linux, software integration, technical documentation, and secure solutions supporting national security missions.

Design, develop, and test software solutions supporting cybersecurity, satellite ground systems, information management, cloud computing, and AI/ML missions. Collaborate in an Agile environment and contribute across requirements, architecture, design, development, and unit testing. The two-year Ignite Innovators program provides technical leadership development and hands-on national security experience, with potential transition to Peraton mission programs.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, deployment, enhancement, maintenance, and issue resolution. The role involves distributed NoSQL systems, big-data technologies, cloud scalability, AI/ML algorithms, LLMs, RAG, agentic workflows, and software testing within a mission-driven national security environment.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.

Leads Android engineering excellence for Citi’s Mobile App Money Movement domain. Establishes an Android Center of Excellence, defines technical standards, architects scalable Kotlin solutions, drives AI-enabled development, contributes to critical-path code, and oversees design reviews across multiple teams. Manages hiring, performance, mentoring, and talent development while aligning engineering strategy with business goals, security, quality, compliance, and operational excellence.

Join Greenboard’s engineering team in Summer 2027 to build and ship financial compliance software. Responsibilities include developing AI agents for insider-trading detection, scaling message-archiving systems processing tens of millions of messages daily, and designing supporting data infrastructure. The role offers end-to-end feature ownership, customer interaction, and direct collaboration with experienced engineers in a fast-paced startup environment.

Leads technology strategy and the technology organization supporting a direct-to-consumer dental platform. Owns the technology roadmap, modernization, reliability, quality, delivery processes, AI adoption, and investment decisions. Manages internal and outsourced engineering, QA, infrastructure, and web development teams; develops talent and operating standards; and partners with executives and business leaders to connect technology initiatives to customer and business outcomes.

Leads and grows an engineering team building new products from concept through commercial launch. Partners with product leadership to translate market hypotheses into architectures, makes build-versus-buy decisions, owns technical execution, and improves reliability, observability, and scalability. The role combines hands-on technical leadership, people management, hiring, career development, and high-ambiguity 0-to-1 product development.

Participate in a 12-week technical internship through a software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research focus area. Interns will contribute to technical projects, participate in Agile ceremonies, research and test solutions, collaborate with mentors and cross-functional teams, document progress, and present a final capstone project. The role is primarily remote with one required onsite summit in Bridgeport, West Virginia.

Supports software engineering, AI, and data science projects in AWS. Assists with troubleshooting hardware, software, and network issues; system updates; installations; configurations; testing; employee technical support; documentation; and system logging. Collaborates with development and security teams while gaining mentorship and practical experience in IT support and administration.

Hands-on CTO Co-Founder responsible for defining technology strategy, architecting and building an AI-powered healthcare payments platform, leading scalable cloud-native software development, integrating billing and payment systems, and recruiting and mentoring the engineering organization. The role spans product execution from MVP to commercial scale and requires collaboration with investors, customers, and company leadership.

Develop and maintain enterprise data-intensive and AI-enabled applications supporting product development and quality teams. Build optimized SQL transformations, Databricks pipelines, Java/Python backend services, APIs, and cloud-native applications using Kubernetes and Docker. Partner with AI teams to productionize ML and LLM solutions, implement testing, CI/CD, observability, security, and reliability practices, troubleshoot production issues, shape architecture, and mentor engineers.

Build and ship driver-facing AI experiences for GM vehicles using Kotlin and Android Automotive. Own features end to end across conversational behavior, on-device fulfillment, vehicle integration, UI, connected services, validation, and iteration. Prototype and productionize intelligent capabilities, diagnose issues across application and cloud boundaries, establish engineering patterns, collaborate cross-functionally, mentor engineers, and influence the roadmap for in-vehicle AI products.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Software Engineer Interns will build and enhance customer-facing front-end and back-end applications using TypeScript, JavaScript, React, Python, databases, and SQL. They will explore AI applications, develop proofs of concept, solve engineering problems, test and iterate on solutions, and collaborate with experienced engineers. The internship requires on-site work in San Francisco Monday through Thursday, with remote Fridays, and offers potential school-year work and post-graduation employment.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

Serve as the first engineer and technical leader, building Leland Care’s healthcare platform from scratch. Own architecture, data systems, ingestion pipelines, AI intelligence capabilities, agentic coordination systems, and compliance infrastructure. Make high-leverage technical decisions, ship rapidly, and manage outcomes end-to-end in an ambiguous 0-to-1 environment.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.