Top Software Engineer Jobs

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.

Leads the design and development of scalable, cloud-native, AI-powered software systems. Drives architecture, DevOps, CI/CD, observability, performance optimization, automation, incident analysis, and continuous improvement. Provides technical guidance through code reviews and architectural decisions, mentors engineers, and collaborates with cross-functional teams to align technical solutions with business objectives.

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.

Designs and develops scalable data pipelines, backend services, ETL/ELT workflows, APIs, microservices, and cloud-native applications using C#/.NET, SQL, Azure, and AWS. Responsibilities include database optimization, CI/CD, automated testing, DevOps, data governance, security compliance, and translating advanced technologies into production-ready healthcare solutions. Collaborates with research, engineering, and product teams while supporting ethical, performant, and reusable enterprise capabilities.

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.

Build and scale optimization and backend systems for public transportation planning and scheduling products. Own features from concept through production, improve performance and reliability, collaborate with designers, data scientists, researchers, product managers, transit planners, and customers, and contribute to engineering architecture, best practices, tooling, and code quality. The role involves computationally hard systems, geospatial computation, machine learning, and AI.

Supports and enhances ATIS/ATMS systems for a 24/7 transportation management center. Develops Python and Java applications, web tools, APIs, dashboards, reports, database solutions, automation, and integrations. Maintains applications across Windows and Linux environments, troubleshoots operational issues, manages deployments and documentation, and supports system improvements involving analytics, AI, GIS, and ITS technologies. Provides technical guidance, training, and coordination with transportation personnel, vendors, and engineering teams.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Leads two scrum teams while remaining hands-on in software development at least 50% of the time. Designs, codes, tests, debugs, and supports secure, resilient, high-throughput distributed payment systems using Java and Spring Boot. Drives AI-assisted engineering practices, automation, CI/CD, code quality, operational stability, and responsible AI usage. Evaluates technical solutions with vendors and internal teams and leads engineering communities of practice.

Design, develop, test, debug, review, and deploy full-stack applications using Python and Java with Gradle. Gather requirements, resolve defects, create accessible user interfaces, integrate external requirements tools, and explore large language model and AI integrations. Collaborate with customers, product managers, developers, and leadership on project initiatives while mentoring junior engineers. The role is onsite at Fort Meade and supports an Intelligence Community mission.

Leads global engineering, architecture, delivery, and modernization for a securities valuation platform supporting pricing, valuation models, fund accounting, and NAV calculations. The role drives cloud adoption, resilient application architecture, DevOps, automation, data and AI capabilities, regulatory compliance, operational stability, and technology strategy. The Vice President also develops global talent, partners with business and risk stakeholders, and delivers scalable solutions across financial services.