Top Software Engineer Jobs

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.

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.

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.

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.

Own end-to-end technical delivery for sophisticated robotics and AI customers. Serve as their primary engineering contact, understand data and workflow needs, build and ship solutions, maintain strong support standards, improve tooling and processes, and translate customer feedback into durable product and delivery improvements. Collaborate across engineering, data, and operations teams with high autonomy and a broad generalist mindset.

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%.

Develop, test, and maintain software applications, APIs, and geospatial services using modern programming languages and cloud technologies. Collaborate with experienced engineers on ArcGIS Enterprise, AWS, AI-enabled applications, databases, APIs, DevOps, CI/CD, and containerized deployments. Troubleshoot issues, improve performance and reliability, participate in code reviews, and gain experience with geospatial data, near-real-time feeds, and generative AI integrations.

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.

Leads full-stack engineering for a scalable credit investment technology platform. Develops AI-powered underwriting and portfolio management solutions, user-facing applications, backend systems, integrations, reporting tools, and workflow automation. Partners with investment, middle-office, and back-office stakeholders to gather requirements and deliver enhancements. Responsibilities include architecture, coding, testing, deployment, troubleshooting, production support, and secure software development.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Paid 16-week software engineering internship from January through April. Interns will ship production features for Replit, collaborate with engineering, design, product, and AI research teams, and work on developer experiences, AI tools, cloud infrastructure, and automation. The role emphasizes independent problem-solving, communication, continuous learning, and building accessible software for millions of users.

Design and implement software, automation, or AI-driven solutions that improve engineering workflows, reduce manual effort, and enhance customer outcomes. Responsibilities include analyzing data across systems, collaborating with engineers, developing and testing solutions, documenting implementations, measuring project impact, and presenting results to leadership. The internship is based in Mayfield Heights, Ohio, with potential part-time remote work during the school year.

Develops, validates, documents, and maintains R programs, packages, Bash utilities, Linux tools, and statistical analysis datasets for clinical research. Translates SAS programs into R, supports metadata repositories and CDISC standards, troubleshoots complex programming issues, trains researchers, mentors programmers, and collaborates with statisticians, epidemiologists, clinicians, and data managers. The role also contributes to programming standards, artificial intelligence applications, presentations, recruitment, and research network initiatives.