Top Software Engineer Jobs

Orchestrate AI coding agents across parallel workstreams to deliver production features, refactors, and investigations. Own architecture, specifications, implementation reviews, testing, deployments, and production health across e-commerce systems. Build internal AI tooling, improve agent-generated code quality, automate engineering workflows, and collaborate with Product, Design, Operations, and Engineering teams. Mentor engineers on AI-native development practices and maintain high standards for security, reliability, performance, and maintainability.

Design, develop, and maintain high-performance Go-based software for global VOD, live, and linear streaming delivery. Build reliable services for dynamic ad insertion and manifest manipulation, partner with SRE on highly available multi-region systems, use observability and analytics for performance and incident analysis, and contribute to multi-CDN strategies, architecture, code reviews, and engineering standards.

Architect and operate Cisco’s AI Compute Platform, developing distributed control-plane services, Kubernetes platforms, GPU schedulers, APIs, controllers, and automated remediation systems. The role manages multi-cluster environments, tenant quotas, workload routing, GPU allocation, and reliability for large-scale training and inference workloads. It also leads architecture reviews, establishes engineering standards, mentors engineers, and drives Infrastructure as Code, GitOps, CI/CD, observability, incident response, and operational excellence.

Develop and maintain content-driven features for Hilton’s websites and customer-facing applications. Customize and extend content management systems, troubleshoot production issues, optimize performance and security, and create maintainable code with comprehensive automated testing. Collaborate with architects, product owners, designers, quality engineers, and developers within an Agile framework. The role requires Java, microservices, NoSQL databases, messaging architectures, React, Docker, Git, and web application development experience.

Lead the architecture and development of scalable backend services and software products for GM Commercial Services. Design reliable APIs and systems, solve complex business and technical problems, improve engineering practices, and build high-value products. Collaborate with product, design, infrastructure, operations, and engineering teams while mentoring engineers. The role requires expertise in Java, Kotlin, or Python; SQL and NoSQL databases; cloud platforms; Databricks; and modern web technologies.

Lead development of full-stack cloud-native applications using Java, TypeScript, Spring Boot, Spring Cloud, and AWS. Responsibilities include designing microservices, APIs, agentic workflows, reactive systems, infrastructure as code, CI/CD, observability, databases, and performance testing. The role also leads responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, and troubleshoots multi-agent environments.

Own Custral’s mobile app end to end, including product decisions, React Native development, Node and Express APIs, offline state, synchronization, conflict resolution, push notifications, and app-store releases. The role requires shaping the mobile experience, maintaining feature parity with the web app, and making independent product and technical tradeoffs in an early-stage, five-day in-person environment.

Build and own Custral’s product end to end across frontend and backend. Design core functionality, shape product direction and architecture, work directly with users, and operate high-volume production systems. Use TypeScript, React, Node.js, PostgreSQL, Redis, and Elasticsearch while making independent technical decisions, researching solutions, communicating tradeoffs, and collaborating effectively in a fast-paced, in-person startup environment.

Design, implement, and maintain scalable serverless backend services and responsive Next.js front-end components. Build data scrapers and integrations, improve CI/CD and IaC, mentor junior engineers, and collaborate with product and clients to solve complex compliance problems.

Build and evolve backend payroll platform services and APIs used by multiple engineering teams. Own a core domain, ensuring correctness, scalability, reliability, performance, and observability. Lead architecture and design decisions, solve ambiguous technical problems independently, and partner with product and engineering teams on platform adoption. Collaborate cross-functionally to deliver compliant payroll capabilities while promoting responsible use of AI-assisted development tools.

Leads full-stack software engineering for secure, scalable enterprise applications. Designs, develops, reviews, debugs, and troubleshoots Java-based solutions using microservices, cloud-native architecture, databases, messaging, and modern UI frameworks. Drives automation, application resiliency, AI-assisted engineering practices, secure coding, testing standards, architectural evaluations, and adoption of emerging technologies. Coaches teams, leads communities of practice, and collaborates across internal teams and external vendors.

Designs, develops, and operates secure, scalable cloud-native connectivity platforms using Golang and AWS. Responsibilities include architecture, distributed systems, testing, CI/CD, observability, security, performance tuning, production troubleshooting, code reviews, mentorship, and cross-functional collaboration. The role supports Mastercard Cloud Connect initiatives connecting customers to Mastercard services through public cloud and private networks.

Designs, develops, tests, documents, deploys, and supports scalable software applications. Collaborates with product managers, designers, and engineers to deliver features, automate deployments, troubleshoot complex issues, improve development processes, and maintain application quality and reliability.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Design and develop low-latency teleoperation software for robotic platforms, including real-time control, communication pipelines, immersive VR/AR interfaces, simulation environments, and operator input systems. Collaborate with robotics, perception, controls, and hardware teams to improve responsiveness, reliability, and human-robot interaction. Troubleshoot networking, latency, communication, and distributed control challenges while integrating robotic manipulators, mobile robots, humanoids, and other electromechanical systems.

Build enterprise platform capabilities for identity, access management, integrations, extensibility, scalability, security, compliance readiness, reliability, and operational excellence. Develop reliable and secure backend-leaning full-stack systems for complex customer environments and AI-powered enterprise SaaS products.

Build scalable data foundations and personalization systems for AI agents. Responsibilities include real-time eventing, streaming and batch ETL, Iceberg lakehouse infrastructure, OLAP querying, orchestration, experimentation, long-term agent memory, customer data platform primitives, analytics products, and optimization loops. The role may focus on platform engineering or full-stack product engineering, including ML-powered personalization and data visualization.

Designs, develops, tests, deploys, and maintains scalable full-stack software for mission-critical geospatial intelligence applications. The role involves extracting, transforming, analyzing, enriching, and visualizing large geospatial datasets using cloud technologies and emerging AI/ML techniques. Responsibilities include architecture, software lifecycle management, data product development, troubleshooting, documentation, and collaboration with engineering teams, clients, and users. The engineer will also support DevSecOps, cloud architectures, containerization, and technical leadership.

Build customer-facing full-stack experiences for recommendations, nurture campaigns, booking flows, and plan upgrades. Design reliable backend APIs and data models, run experiments, improve conversion and retention, mentor engineers, and collaborate with Product, Design, Data, and Platform teams. The role requires ownership of complex, multi-quarter projects, scalable architecture, refactoring, performance, reliability, and responsible use of AI tools.

Leads partner integration discovery, architecture, implementation, and launch readiness. Builds developer portals, documentation, SDKs, sample applications, integration templates, and automation. Develops reusable patterns for authentication, webhooks, retries, observability, and error handling. Collaborates with engineering, product, security, support, partnerships, and external developers to improve APIs and developer self-service. Reviews designs and code, mentors teammates, and owns partner integrations through delivery and ongoing iteration.

Leads full-stack software engineering for enterprise AI/ML data platforms. Designs, develops, tests, deploys, and troubleshoots Java and Python services, batch jobs, data pipelines, and front-end applications. Builds reliable data governance capabilities, analyzes pipeline performance and data quality, creates operational visualizations, and applies automation, observability, security, and responsible AI practices in an agile enterprise environment.

Develop and test innovative software for defense and commercial systems, including RF, radar, EO/IR, electronic warfare, and software-defined radio. Responsibilities include C++ and Python development, hardware integration with FPGAs, GPUs, and embedded SoCs, Linux application development, real-time systems, containerization, cloud-native technologies, DevSecOps, CI/CD, and agile collaboration in a rapid-prototype environment.

Develops, integrates, and tests advanced software for prototype and low-volume defense and commercial systems. Responsibilities include object-oriented C++ development, Linux application development, algorithm implementation, architecture design, and collaboration in rapid research environments. Preferred work includes real-time, embedded, multithreaded, GPU, DSP, cloud-native, containerized, DevSecOps, and RF or sensor software. The role is fully onsite and requires active Secret clearance with the ability to obtain Top Secret clearance.

Design, develop, integrate, and test advanced software for prototype and low-volume defense systems. Work includes object-oriented C++ development in Linux, algorithm implementation, real-time and embedded systems, multi-threaded and low-latency applications, and collaboration across research and engineering teams. Preferred work may involve MATLAB, Python, GPU technologies, DevSecOps, containers, cloud-native tools, signal processing, RF, cyber, and military systems.

Design, develop, integrate, and test software for advanced defense and commercial systems. Work with cross-functional teams on applications involving RF, radar, EO/IR, electronic warfare, software-defined radio, signal processing, hardware interfaces, embedded systems, cloud-native technologies, and real-time operating systems. Apply agile, DevSecOps, CI/CD, containerization, and automated release practices while developing prototype and low-volume products.