Top Software Engineer Jobs

Develop embedded Linux software and device drivers for automotive display systems on high-compute SoC platforms. Responsibilities include display power and configuration features, full software lifecycle participation, hardware-software integration, performance and power optimization, SoC and display bring-up, validation, testing, and production-quality development for automotive and safety-critical systems.

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.

Design, scale, and operate Husky, Datadog’s petabyte-scale distributed columnar event store. Migrate storage to open standards including Parquet, Arrow, and DataFusion; improve compaction, compression, indexing, caching, and storage tiering; support event versioning and Iceberg-based analytical workloads; collaborate across ingestion, metadata, platform, and Lakehouse teams; and contribute to open-source software.

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.

Develop and maintain full-stack software applications across the software development lifecycle. Responsibilities include automated testing, shared library and tool development, workflow-efficiency improvements, software architecture best practices, and high-performance, low-latency systems development. The role collaborates with clients and managers to identify enhancements and permits telecommuting up to two days weekly.

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 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.

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.

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.

Leads the design and delivery of scalable platform capabilities across the full software development lifecycle. Builds cloud-native distributed systems, integrates AI and machine learning, conducts system design reviews, and drives coding, testing, deployment, monitoring, and maintenance. Provides technical leadership and mentorship, collaborates with stakeholders, translates complex problems into technical requirements, and promotes engineering excellence, standardization, and continuous improvement.

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.