Top Software Engineer Jobs

Develop, test, deploy, and support RPA workflows and automation solutions across business teams. Translate stakeholder requirements into technical designs, integrate with systems such as SAP, troubleshoot production issues, document solutions, train users, and monitor automation quality and performance. The role also involves API and database integration, governance compliance, cross-functional project delivery, and participation in an on-call rotation.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

Leads full-stack engineering and AI modernization initiatives, designing scalable enterprise applications and architecture. Responsibilities include coding, testing, technical discovery, application modernization, security and privacy integration, engineering standards, mentoring, stakeholder consulting, and strategic technology leadership. The role requires collaboration across product, operations, data, and security teams while balancing innovation, platform stability, and delivery commitments.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Build and maintain scalable full-stack integrations between Commure and healthcare systems, including EHRs and insurance providers. Design end-to-end workflows, use LLMs to reverse-engineer EHRs, improve architecture and reliability, troubleshoot production issues, implement monitoring, and ensure HIPAA, HL7, and FHIR compliance. Collaborate with product, healthcare, DevOps, QA, and security teams throughout development and deployment.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Lead full-stack engineering for Snowflake Snowsight, owning product areas end to end and driving large cross-team projects from architecture through delivery. Use agentic AI, Go, React, and Java to build scalable, reliable experiences. Partner with product and design, shape product vision, mentor engineers, establish technical standards, and improve customer experience, service health, performance, security, and quality.

GRVTY seeks students and recent graduates for 2027 internships and full-time roles across software engineering, AI, cybersecurity, data science, robotics, systems, electrical, and mechanical engineering. Candidates will build defense technology, contribute to complex software projects, and gain exposure to classified-environment deployments, government acquisition, and security frameworks. Applicants must be U.S. citizens pursuing or recently completing a relevant degree, available in 2027, and capable of learning quickly across multiple projects.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Build and ship end-to-end web features across UI, APIs, databases, tests, and deployment by directing AI coding agents. Translate requirements into agent-ready specifications, manage parallel agent sessions, review generated code, enforce security and quality, and require effective automated tests. Deploy and monitor applications on Azure, debug production issues, improve agent context and tooling, and document releases and operational procedures.

Design, build, and scale backend systems and microservices for automated chargeback and dispute workflows. Integrate with card networks, banks, and merchants, improve CI/CD, upgrade platform architecture, and own feature delivery and system optimizations.

Summer 2027 software engineering internship supporting AI/ML, big data, and cloud projects. The intern will collaborate with scientists, engineers, and project managers to develop, integrate, and deploy production-grade solutions in an agile, mission-oriented environment. Responsibilities include working with real-world datasets, enterprise-scale systems, multiple software components, and operational end users.

Designs, develops, debugs, and troubleshoots full-stack Java/Spring Boot microservices on AWS. Collaborates in Agile teams, applies CI/CD, works with Oracle and Kafka, uses enterprise AI-assisted coding tools, ensures secure, resilient, and scalable software, and contributes to engineering communities and best practices.

Leads a 45-person employee organization and 50 contractors responsible for USAA’s telematics application strategy, architecture, engineering delivery, vendors, budgets, security, compliance, and modernization. Oversees cloud, mobile, data, AI, machine learning, IoT, and connected-vehicle capabilities supporting insurance pricing, underwriting, claims, fraud detection, and member engagement. Partners with business and technology executives on roadmaps, technical debt reduction, SDLC controls, risk management, and ecosystem relationships.

Develops and maintains web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, writing software, implementing business logic, integrating web APIs, conducting unit and formal testing, troubleshooting production issues, performing impact analysis, supporting configuration control, and contributing to user training materials. The role uses HTML5, JavaScript, Bootstrap, CSS, C#.NET, SQL, Ruby on Rails, AWS, and AI technologies.

Develop and sustain cloud software and AI/ML capabilities for national security applications. Responsibilities include requirements analysis, Java-based distributed software development, AWS cloud integration, RESTful services, testing, deployment, troubleshooting, and technical documentation. The role works with Hadoop and big-data technologies, Linux, Kubernetes, infrastructure as code, CI/CD, LLMs, RAG, and agentic AI. An active TS/SCI clearance with polygraph and at least five years of software engineering experience are required.

Develop cloud software and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, RESTful services, distributed systems, cloud integration, infrastructure as code, containerization, testing, sustainment, and issue resolution. The role requires experience with Hadoop and big-data technologies, Linux, software integration, technical documentation, and secure solutions supporting national security missions.

Design, develop, and test software solutions supporting cybersecurity, satellite ground systems, information management, cloud computing, and AI/ML missions. Collaborate in an Agile environment and contribute across requirements, architecture, design, development, and unit testing. The two-year Ignite Innovators program provides technical leadership development and hands-on national security experience, with potential transition to Peraton mission programs.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, deployment, enhancement, maintenance, and issue resolution. The role involves distributed NoSQL systems, big-data technologies, cloud scalability, AI/ML algorithms, LLMs, RAG, agentic workflows, and software testing within a mission-driven national security environment.

The Principal Engineer will lead technical initiatives in AI-driven tax software, mentor engineers, enforce technical standards, and contribute to architectural design and product innovation.

Build and operate secure, scalable cloud-native services, user interfaces, backend services, and data pipelines for Relativity’s AI Platform. Responsibilities include writing maintainable tested code, participating in design and code reviews, supporting reliability and incident response, collaborating across engineering and product teams, and improving experimentation infrastructure for petabyte-scale legal data workloads.

Leads multiple engineering teams building and scaling Databricks’ AI/BI Dashboard product and service platform. Responsibilities include hiring and developing engineers and managers, establishing processes, driving product strategy, making architecture decisions, managing technical debt, improving software quality and operability, and applying AI and LLM technologies to product experiences. The role requires extensive distributed systems, SaaS, team scaling, and engineering leadership experience.

Leads technology strategy and the technology organization supporting a direct-to-consumer dental platform. Owns the technology roadmap, modernization, reliability, quality, delivery processes, AI adoption, and investment decisions. Manages internal and outsourced engineering, QA, infrastructure, and web development teams; develops talent and operating standards; and partners with executives and business leaders to connect technology initiatives to customer and business outcomes.