Top Software Engineer Jobs

Summer 2027 software engineering internship supporting AI/ML, big data, and cloud projects. The intern will collaborate with scientists, engineers, and project managers to develop, integrate, and deploy production-grade solutions in an agile, mission-oriented environment. Responsibilities include working with real-world datasets, enterprise-scale systems, multiple software components, and operational end users.

Designs, develops, debugs, and troubleshoots full-stack Java/Spring Boot microservices on AWS. Collaborates in Agile teams, applies CI/CD, works with Oracle and Kafka, uses enterprise AI-assisted coding tools, ensures secure, resilient, and scalable software, and contributes to engineering communities and best practices.

Leads a 45-person employee organization and 50 contractors responsible for USAA’s telematics application strategy, architecture, engineering delivery, vendors, budgets, security, compliance, and modernization. Oversees cloud, mobile, data, AI, machine learning, IoT, and connected-vehicle capabilities supporting insurance pricing, underwriting, claims, fraud detection, and member engagement. Partners with business and technology executives on roadmaps, technical debt reduction, SDLC controls, risk management, and ecosystem relationships.

Develops and maintains web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, writing software, implementing business logic, integrating web APIs, conducting unit and formal testing, troubleshooting production issues, performing impact analysis, supporting configuration control, and contributing to user training materials. The role uses HTML5, JavaScript, Bootstrap, CSS, C#.NET, SQL, Ruby on Rails, AWS, and AI technologies.

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, enhancement, installation, monitoring, maintenance, and issue resolution. The role involves distributed NoSQL systems, cloud scalability, machine learning, large language models, RAG, agentic workflows, and software engineering in a mission-driven national security environment.

Develop and sustain cloud software and AI/ML capabilities for national security applications. Responsibilities include requirements analysis, Java-based distributed software development, AWS cloud integration, RESTful services, testing, deployment, troubleshooting, and technical documentation. The role works with Hadoop and big-data technologies, Linux, Kubernetes, infrastructure as code, CI/CD, LLMs, RAG, and agentic AI. An active TS/SCI clearance with polygraph and at least five years of software engineering experience are required.

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.

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.

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.