Top Software Engineer Jobs

Principal Software Engineer responsible for designing, developing, supporting, and improving enterprise software platforms. The role leads technical decisions, architecture, infrastructure, quality standards, and cross-functional implementation; mentors developers; evaluates technologies; troubleshoots complex issues; and collaborates with customers and distributed teams. Requires strong communication, enterprise development expertise, database proficiency, security knowledge, and experience with Java or .NET, Angular, RESTful APIs, and Agile practices.

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.

Design, develop, test, and operate large-scale distributed software services within Microsoft Security. Responsibilities include system and interface design, code and design reviews, secure and reliable modular components, integration testing, monitoring, troubleshooting, automation, and Live Site optimization. Engineers collaborate with product and engineering teams to deliver data-driven customer experiences and may work on cloud, secure software, and AI/ML-powered systems.

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.

Build systems to analyze and visualize agent performance, enable A/B testing of AI agents, explore conversational data through AI-powered clustering, and proactively monitor agents for defects and emerging patterns. The role requires shipping full-stack production systems, collaborating autonomously, and applying strong craftsmanship and customer focus. Experience with AI products, Go, TypeScript, developer tooling, programming languages, databases, design, or technical leadership is advantageous.

Build and scale Sierra’s customer-facing AI communication platform across voice, chat, SMS, email, and native app experiences. Responsibilities include developing multimodal agent experiences, global telephony infrastructure, channel integrations, real-time low-latency systems, contact-center integrations, and safe personal-agent connectivity. The role requires strong backend fundamentals while collaborating across infrastructure, mobile, and web systems, with emphasis on reliability, security, performance, and rapid delivery.

Build and operate secure, high-reliability payments infrastructure for AI voice agents. Responsibilities include real-time card capture, tokenization, payment gateway integrations, egress controls, privacy protection, idempotent payment actions, and self-service APIs and SDKs. The role spans backend systems, security, real-time voice, LLM integration, and customer-cloud deployments, with end-to-end ownership from design through production and on-call support.

Design, develop, test, deploy, and support enterprise Java applications, REST APIs, microservices, and batch-processing platforms. Lead system design, code reviews, modernization, security, performance optimization, production support, incident resolution, and CI/CD improvements. Collaborate with business, QA, DevOps, and architecture teams while mentoring junior engineers and using approved AI tools to improve development workflows.

Design, develop, and deploy scalable microservices and event-driven systems for T-Mobile’s business order management platform. Manage Azure cloud infrastructure, build high-performance REST APIs, integrate backend systems, optimize order processing, and support subscription lifecycle workflows. Conduct code reviews, performance tuning, issue resolution, and technical writing while mentoring distributed engineering teams and collaborating cross-functionally.

Develop and maintain scalable backend data engineering solutions using Python, PySpark, and Databricks. Build, deploy, and support reliable data pipelines and platform modules for financial reporting and analytics. Design software architectures, troubleshoot complex systems, analyze financial data, participate in code reviews, and collaborate with product managers, architects, and engineering teams. Apply secure coding, agile development, CI/CD, resiliency, responsible AI-assisted development, and enterprise data governance practices.

Leads development of secure, scalable Java full-stack software for a digital identity team. Designs, codes, tests, troubleshoots, and reviews production applications; improves resiliency and automation; promotes responsible AI-assisted engineering practices; and evaluates vendor and architectural solutions. Requires cloud-native experience with AWS and Kubernetes, REST API development, agile delivery, security, and CI/CD. Familiarity with IAM technologies and ForgeRock or Ping Identity is preferred.