Top Software Engineer Jobs

Build and operate secure, scalable AI compute platform services, including backend APIs, asynchronous workflows, Kubernetes controllers, and multi-tenant workload capabilities. The role focuses on distributed training and inference, platform reliability, observability, developer tooling, and infrastructure simplification. Responsibilities include collaborating across engineering teams, improving scalability and developer productivity, and providing technical leadership for production AI platform capabilities.

Design and build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.

Designs and develops highly available cloud services for AI inference workloads. Responsibilities include building Kubernetes controllers and platform capabilities for deployment, scheduling, scaling, recovery, upgrades, observability, and lifecycle management. The role leads production readiness reviews, resolves complex infrastructure issues, improves reliability and performance, drives architecture and design reviews, mentors engineers, and influences technical direction across teams.

Leads backend architecture and technical strategy for autonomous vehicle and customer support systems. Designs scalable integrations across Fleet, Uber for Business, Direct, and platform teams; develops proactive trip-lifecycle support, Agentic AI capabilities, reliability, and end-to-end testing frameworks. Drives cross-functional technical alignment and mentors senior engineers toward Staff-level impact.

Vice President of Engineering will lead engineering strategy, organization design, hiring, delivery, architecture, infrastructure, reliability, security, compliance, and AI initiatives. The role partners with executive leadership to scale MediCircle’s medication redistribution platform nationally, establish engineering operating standards, manage technical risk and investment, and build a high-performing engineering organization capable of supporting complex pharmacy operations, patient workflows, integrations, and regulatory requirements.

Lead the architecture and modernization of Citi’s global XVA valuation, risk, and stress-testing platforms. Design scalable distributed systems using Java, Python, cloud infrastructure, microservices, Kafka, and polyglot persistence. Drive Agentic AI, LLM-enabled software engineering, legacy modernization, MLOps, and model governance. Partner with quants, trading desks, and risk officers to deliver regulatory-compliant technology. Lead geographically distributed engineering teams, Agile programs, migration initiatives, resiliency, cybersecurity, and production governance.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of scalable data pipelines, machine learning models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and contribute reusable frameworks and product feedback. The role requires hands-on engineering, customer immersion, cross-functional collaboration, and travel to customers approximately 20% of the time.

Design, build, and operate Docker’s enterprise AI agent platform using Go and Kubernetes. Responsibilities include cloud control planes, multi-cloud infrastructure, security and network boundaries, reproducible software supply chains, production ownership, on-call operations, SLOs, incident response, distributed systems design, and technical leadership. The role also includes mentoring engineers and collaborating across runtime, identity, developer experience, and observability teams.

Build and own AI-assisted development infrastructure, including autonomous cloud development environments, MCP integrations, agent documentation, internal tooling, and enablement programs. Improve how engineering teams use AI coding agents across the organization, drive cross-team adoption, and stay current with AI productivity trends. The role requires strong software engineering, developer tooling, cloud infrastructure, CI/CD, and application development experience.

Optimize software workloads across datacenter and agentic AI applications on RISC-V platforms. Responsibilities include profiling applications and runtimes, identifying bottlenecks, tuning compilers and runtimes, analyzing memory and concurrency behavior, leveraging vector, matrix, and custom ISA capabilities, and developing AI-assisted optimization workflows. The role collaborates across software, compiler, hardware, and performance modeling teams to improve throughput, latency, efficiency, and future CPU architecture.

Designs, develops, tests, deploys, and supports robotic process automation workflows and components. Collaborates with business and technical stakeholders to translate requirements into solutions, integrate systems such as SAP, troubleshoot production issues, document processes, train users, and ensure quality, governance, security, and performance. The role also monitors automation impact, supports deployments and on-call operations, and contributes to cross-functional workflow automation initiatives.

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.

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.

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.