Top Software Engineer Jobs

Summer 2027 internship opportunities supporting remote sensing and national security systems. Interns may contribute to software engineering, programming, artificial intelligence, machine learning, image processing, embedded signal processing, data science, business operations, accounting, or project coordination. Candidates must be U.S. citizens, enrolled full-time in an accredited college or university, pursuing a STEM degree, and demonstrate strong communication and attention to detail.

Leads software development teams building and supporting enterprise business process applications. Responsibilities include people management, technical roadmap and architecture, Java application design, delivery ownership, incident response, distributed-team coordination, engineering standards, security and compliance, resource planning, and AI-assisted development practices. The role manages approximately 10 onshore employees and provides technical leadership to offshore teams while partnering with product, business, quality, infrastructure, and security stakeholders.

Design and build scalable backend systems and real-time data processing services, plan architectures for rapid growth, productionize machine learning and AI components, improve engineering standards, and help evolve the core platform with company founders. The role requires backend or distributed-systems experience, ownership of high-throughput systems, database capacity planning knowledge, startup experience, and the ability to independently scope and ship work.

Develop full-stack web applications, dashboards, APIs, data pipelines, and integrations supporting military modeling and simulation exercises. Build operator-facing tools for scenario management, exercise control, assessment, and after-action reviews. Use Palantir Foundry and related technologies to enable data federation and machine-to-machine exchanges. Troubleshoot application and interoperability issues, collaborate with operational stakeholders, and apply AI/ML to improve automation and decision support in classified environments.

Hands-on founding CTO responsible for building TheraPlug’s mobile and web MVP, including patient and provider onboarding, AI-assisted therapist matching, clinician-reviewed note assistance, secure video, scheduling, messaging, credentialing, and insurance eligibility integrations. The CTO will establish HIPAA-supporting security, testing, and infrastructure, recruit and lead a lean engineering team, and contribute production code. Compensation is equity-first with no immediate cash salary; future salary depends on funding.

Long-term software development internship supporting packaged insurance systems and business applications. The intern will design and develop applications using Java, Spring Boot, JavaScript, React, Python, and scripting languages; work with AWS, GitHub, automation tools, SQL, and relational databases; and collaborate with developers across IT. The role requires current college enrollment, a 12-month commitment, and full-time summer and part-time school-year availability.

Develops, tests, deploys, and operates Azure Data product features in highly secured, air-gapped environments. Responsibilities include coding, architecture collaboration, automated testing, incident response, deployment automation, security hardening, telemetry, reliability improvements, and on-call support. The engineer works with partner teams to meet performance, scalability, privacy, compliance, and government customer requirements while using AI tools throughout the software development lifecycle.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and infrastructure. Lead scalable, secure, reliable, and observable distributed-system design; define service boundaries, APIs, and integration patterns; and drive modernization, automation, CI/CD, infrastructure-as-code, and AI-assisted engineering practices. Partner with CloudOps and engineering leadership on reliability, disaster recovery, cost optimization, and operational readiness. Mentor engineers, influence technical strategy, improve developer experience, and guide long-term platform evolution.

Leads enterprise software engineering enablement, AI and innovation strategy, and large-scale technology transformation. Drives adoption of modern engineering practices, cloud technologies, automation, AI solutions, governance, and modernization initiatives. Advises executives, establishes technology standards and transformation frameworks, partners across business and technology teams, manages strategic vendors, and builds high-performing engineering organizations. The role requires delivering measurable outcomes in a complex, regulated banking environment.

Software Engineering Interns support software development, data, reporting, and AI initiatives. Responsibilities include enhancing Power BI reports, contributing to AI agent projects, automating manual processes, applying software development skills, and working with data. The role provides hands-on experience through assigned projects, learning opportunities, networking, and collaboration with team members during a full-time summer internship.

Lead the strategy, roadmap, and evolution of Airbnb’s third-party supply integration platform. Build and mentor a high-performing engineering team, guide technical and AI direction, deliver enterprise-scale integrations, and collaborate with Product, Data Science, Business Development, senior leadership, and external partners to ensure reliable, scalable platform performance.

Leads Chubb’s global marketing technology strategy, Adobe and Salesforce ecosystems, digital experience platforms, CRM, customer data, personalization, marketing automation, analytics, and digital workplace technologies. Builds and develops a global technology organization while overseeing architecture, engineering, delivery, operations, production support, modernization, governance, vendors, budgets, security, and compliance. Partners with Marketing, Communications, and senior business leaders to establish roadmaps, investment priorities, measurable outcomes, and reliable, secure technology capabilities.

Leads architecture and software engineering for cloud-based applications within JPMorgan Chase’s CTO-IAM organization. Defines target-state architecture, evaluates emerging technologies and vendors, develops and reviews secure production code, troubleshoots systems, and improves operational stability. Establishes reusable AI-enabled engineering patterns and governance across SDLC and CI/CD practices while ensuring resiliency, security, traceability, and auditability.

Leads the design, development, delivery, and migration of enterprise finance technology applications. Analyzes complex systems, defines application standards, manages cross-functional assignments, translates business needs into technical specifications, assesses technology risks, and mentors developers and analysts. The role requires expertise in Oracle EPM platforms, full-stack Python or Java development, PySpark, architecture principles, data analysis, and AI enablement.

Leads the Software Engineering organization across software development and DevOps, setting strategy, managing staffing and budgets, overseeing the software development lifecycle, and aligning technology delivery with business goals. The role drives modernization, responsible AI adoption, continuous improvement, risk management, performance metrics, and cross-functional collaboration. It requires hands-on software engineering expertise, people leadership, and knowledge of C#, relational databases, domain-driven design, and microservices.

Develop full-stack software, cloud solutions, data engineering systems, analytics applications, algorithms, and front-end tools. Conduct exploratory data analysis, evaluate software and AI/ML models, transform structured and unstructured data into meaningful information, and create dynamic reports. The role supports defense, intelligence, cyber warfare, and applied research missions in a fully onsite environment with occasional sponsor-site travel.

Teaches undergraduate and graduate Computer Information Systems courses in a hybrid format. Responsibilities include developing syllabi and lesson plans, preparing and updating course materials, using online technologies, delivering instruction, designing and grading assessments, providing student feedback, and integrating responsible AI practices. Requires a master’s degree in Information Systems or a related field, 18 graduate credit hours in the subject, strong communication skills, and ongoing professional development.

Teach undergraduate and graduate courses in information systems and software development through blended, face-to-face, and online instruction. Develop syllabi, lesson plans, course materials, assessments, and grading standards; provide timely student feedback; use course-related technologies; and promote responsible AI use in academic work. Faculty must participate in training and ongoing professional development while maintaining strong subject expertise and communication skills.

Lead architecture and implementation of ServiceNow’s AI Control Tower, an enterprise platform for governing AI models, agents, and datasets. Drive products from 1.0 through customer adoption, establish scalable cloud-native and distributed systems foundations, guide AI-native engineering practices, mentor engineers, conduct architecture reviews, and coordinate with product, design, and partner engineering teams. The role requires hands-on technical leadership across SaaS architecture, data platforms, observability, reliability, security, and enterprise AI infrastructure.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Owns the design, development, and operation of Kubernetes management-plane software for customer-managed AI and HPC infrastructure. Responsibilities include building cluster lifecycle capabilities, Kubernetes controllers and operators in Go, automated provisioning, distributed-system reliability and security improvements, CI/CD and testing, technical leadership, cross-team coordination, mentoring, and production troubleshooting.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Analyzes business processes and systems, gathers requirements, develops reports and system models, and designs software and hardware solutions. The role focuses on intelligent automation, RPA, UiPath, Workbot, IDP, and AI-driven solutions. Responsibilities include troubleshooting, process discovery, automation implementation, database and mainframe analysis, project leadership, and advising junior analysts. Higher levels require programming, network, database, and systems analysis expertise.