Top Software Engineer Jobs

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

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.

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.

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.

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.

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.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Leads multiple engineering teams building internal platforms, web applications, AI-powered workflows, integrations, data pipelines, and automation. Sets technical direction, oversees architecture and delivery, partners with product and business stakeholders, and develops engineering talent. The role emphasizes front-end development with TypeScript and React, CMS integrations, internationalization and localization, scalable SaaS systems, AI-enabled marketing workflows, and operational productivity improvements.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

Supports economists and research associates with computational research tools, workflows, and software. Responsibilities include optimizing and parallelizing code, enabling on-premises and cloud HPC usage, supporting AI and large language model adoption, developing training curricula, providing consultations, and documenting technical resources. The role also collaborates on research papers and delivers guidance on programming, Linux, version control, job scheduling, cloud computing, and research computing best practices.

Build and deploy AI-powered solutions for heavy-industry customers. Responsibilities include understanding manufacturing, physics, and chemistry problems; analyzing data; developing models; writing frontend and backend code; building infrastructure and automation; rapidly prototyping; and consolidating successful solutions into robust software. The role requires extensive customer-site collaboration, strong communication, comfort with ambiguity, and travel of 25% to 75%.

Supports Linux-based software delivery pipelines, development environments, AI engineering initiatives, and security improvement projects. Assists with Linux and Elixir development, vulnerability remediation, security tooling, automation, and software quality practices while collaborating with experienced engineers.

Build and ship software across Aurelian’s AI call-handling, dispatcher tools, analytics, and integrations. Engineers own product outcomes end to end by speaking with customers, identifying problems, defining roadmaps, prioritizing work, and iterating on solutions. The role involves full-stack development, customer visits to 911 dispatch centers, and close ownership of product decisions and delivery.

Leads the architecture, development, and deployment of physics-based modeling and simulation algorithms for e-beam semiconductor inspection systems. Develops SEM image formation, electron-beam interaction, and voltage-contrast technologies; integrates physics-based methods with computer vision and AI; translates physical phenomena into production software; influences technical roadmaps; and mentors junior engineers. Requires a PhD, 8+ years of experience, strong C++/CUDA/Python skills, and semiconductor experience preferred.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.