Top Software Engineer Jobs

Teaches undergraduate and graduate Information Systems and Software Development courses in hybrid formats. Develops syllabi, lesson plans, course materials, assessments, and grading practices aligned with learning objectives. Uses online technologies and course software, provides timely student feedback, and supports student learning through clear communication. Integrates responsible AI practices into instruction and evaluates student use of AI tools. Participates in faculty training and ongoing professional development.

Leads Frankenmuth Insurance’s core technology organization supporting personal and commercial lines, billing, financial systems, and document management. Oversees platform strategy, modernization, delivery, operations, security, compliance, vendors, budgets, and enterprise transformation initiatives. Builds high-performing technology teams, partners with business and enterprise technology leaders, and advances Agile, DevOps, cloud, automation, and product-oriented delivery practices.

Leads architecture, technical strategy, hands-on software development, testing, and delivery of scalable systems. Experiments with AI coding tools and agents, applies AI to engineering workflows and customer experiences, and transitions successful experiments into production solutions. Mentors engineers, influences cross-team technical decisions, and promotes AI-native engineering practices across Walmart’s Growth Technology organization.

Technology interns participate in a 12-week, in-person program in Louisville, supporting projects across software and cloud engineering, data analytics, AI, cybersecurity, UX, agile development, and project management. Interns collaborate with experienced technologists, contribute to business and healthcare technology initiatives, attend professional development activities, and gain exposure to executive presentations and technical teams.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, build, deploy, and improve secure, resilient cloud-native applications using .NET, React, Java, Kubernetes, Azure, and DevSecOps practices. Translate requirements into technical solutions, validate architecture, implement quality and security controls, and use AI-assisted engineering tools responsibly. Mentor engineers through pairing, code reviews, and technical guidance while collaborating with product, design, and agile stakeholders. Prototype new functionality, maintain observability and reliability, and support continuous learning and improvement.

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.

Develop, integrate, test, and maintain software for automated space payloads, facilities, and mission operations. Build backend services, APIs, databases, automation tools, and user interfaces in Python; interface with hardware, robotics, scientific instruments, and control systems. Collaborate across engineering disciplines, support mission integration and troubleshooting, document designs, and participate in reviews. More experienced engineers may lead technical efforts, mentor teammates, and shape software standards.

Leads software development strategy and execution, manages software development managers and teams, and oversees modernization of legacy applications. Establishes quality, performance, and delivery metrics; partners with Product, Architecture, Infrastructure, and project management leaders; supports Agile practices, cloud-first development, microservices, automation testing, and AI-enabled delivery improvements.

Leads development of secure, scalable, cloud-native software platforms and distributed services. Designs systems, writes and reviews production code, supports cloud migrations, and improves reliability through testing, operations, observability, and infrastructure as code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and correctness, mentors engineers, and influences architecture and delivery practices across teams.

Entry-level technology program participants complete a six-month training and development experience before joining an engineering team. They build, test, and debug software, contribute to agile projects, practice code quality and security, learn modern architecture, and use AI-assisted development tools. The program emphasizes mentorship, collaboration, continuous learning, systems thinking, and delivering customer-focused software solutions.

Design and develop scalable, high-performance software for financial brokerage back-office and client-service operations. Build AI capabilities, optimize high-throughput customer communication systems, translate business requirements into technical solutions, and maintain highly available Oracle databases. Collaborate with cross-functional teams to deploy features and research emerging technologies. The role requires hybrid work in Greenwich, Connecticut, with three office days weekly.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Founding Full Stack Engineer will build and scale a healthcare technology platform, focusing on backend workflows, external system integrations, product features, and AI-driven automation. The role involves collaborating with product, operations, clients, and support teams; rapidly prototyping solutions; productionizing successful concepts; and helping establish engineering culture and standards. The position requires hybrid work from the New York office at least three days per week.

Technology interns complete an end-to-end project supporting a real business priority, using data, analytics, AI tools, and digital workflows. They collaborate across departments, develop practical solutions, validate AI-generated outputs, and present results to senior stakeholders. The 10-week hybrid program includes mentorship, structured training, and exposure to technology, data engineering, machine learning, IT, and analytics teams.

An 11-week in-person technology internship offering placements in software engineering, cloud and DevOps, data engineering, AI and machine learning, enterprise applications, platform engineering, or automation. Interns will contribute to real-world projects such as application development, data pipelines, process automation, cloud infrastructure, and AI solutions while participating in professional development and leadership sessions.

Develops GUIs, dashboards, AWS applications and infrastructure, automated workflows, and AI/ML integrations. Responsibilities include integrating new features into existing tools, collaborating across the software development lifecycle, writing tested code, and monitoring workflow and model performance. Requires software development fundamentals, Python, JavaScript, HTML, CSS, AWS, Git, UI frameworks, automation, and AI/ML awareness, along with an active Top Secret/SCI clearance and NSA Full Scope Polygraph.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Summer 2027 internship opportunities for software and computer engineers, programmers, business operations specialists, and data scientists. Interns will support remote sensing, missile defense, intelligence, surveillance, reconnaissance, space domain awareness, and aircraft survivability projects. Candidates must be U.S. citizens, enrolled full-time as rising juniors, seniors, or graduate students, and pursuing Computer Science, Engineering, or related STEM degrees. Strong attention to detail and communication skills are required.

Develop, test, deploy, and operate secure, scalable software services supporting Microsoft’s business operations, commerce, billing, usage measurement, and customer adoption. Responsibilities include architecture, coding, code reviews, test automation, AI-assisted development, deployment automation, observability, on-call support, security, privacy, compliance, and cross-team collaboration.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Develops secure, scalable software solutions for JPMorganChase’s CX Loyalty Travel team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, system stability, and participation in agile engineering practices. The role uses .NET, C#, RESTful APIs, SQL, React or Angular, cloud technologies, and enterprise-authorized AI coding tools to deliver high-quality production systems.

Build and ship member-facing web features using React, Next.js, and Tailwind CSS. Implement responsive, accessible interfaces, test user journeys, participate in code reviews, collaborate with product, design, and backend teams, and contribute to performance and maintainability. The role includes AI-assisted prototyping, frontend API integration, learning team systems, and participating in on-call rotations under senior guidance.

Leads full-stack software engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, managing engineering talent, driving architectural and roadmap decisions, delivering distributed microservices and full-stack systems, and aligning engineering execution with enterprise goals. The role involves AWS and other cloud technologies, modern programming languages, databases, containers, Agile delivery, AI-enabled development, and regulatory technology solutions.