Top Software Engineer Jobs

Design, build, and scale Data Marketplace capabilities across APIs, backend services, user-facing workflows, and partner integrations. Lead technical initiatives from design through production, improve reliability and observability, collaborate cross-functionally, and mentor engineers. Contribute to scalable distributed systems, data-intensive applications, and AI-enabled marketplace experiences.

Lead the architecture and development of LiveRamp’s petabyte-scale backend activation platform. Build distributed data pipelines using Spark, Dataproc, SingleStore, Kubernetes, streaming systems, and workflow engines. Drive multi-tenant scheduling, performance, cost optimization, reliability, observability, and production excellence. Define technical strategy, lead complex initiatives, mentor engineers, collaborate cross-functionally, and adopt AI-enhanced development and operations practices.

Lead architecture and development of significant backend platform features from concept through release. Design scalable distributed systems, write technical proposals, assess business impacts, and ensure dependable performance. Use AI coding assistants while validating code quality and safety, coach engineers, shape the technical roadmap, and collaborate with product and cross-functional teams. The role requires expert Node.js and TypeScript skills, experience with message queues, and ownership of substantial product areas.

Build customer-facing conversational features, self-service workflows, audience management tools, and back-end platform services. Own significant product areas from design through delivery while collaborating closely with product and design teams. Work across distributed systems, programming interfaces, product experience, and design systems in a fast-paced startup environment.

Build and own SnapMagic’s AI-assisted electronics design and CAD software. Develop full-stack applications using Python, Django, JavaScript, HTML, CSS, and PostgreSQL; ensure hardware-grade accuracy, reliability, and scalability; engage directly with hardware engineers; and guide product priorities based on adoption and user outcomes. The role requires hands-on hardware experience, strong product judgment, independent problem-solving, testing, code review, and ownership from concept through production.

Develop and maintain full-stack web applications across persistence, services, platform, and performance layers. Translate business requirements and design mockups into intuitive features, collaborate with product and design teams, and work within a Scrum-based Agile process. The role requires expertise in Java, JavaScript, modern web frameworks, cloud applications, web architecture, object-oriented development, and automated testing, with opportunities to integrate AI into workflows and problem-solving.

Develops, tests, debugs, and documents software applications, modules, and features under senior guidance. Troubleshoots basic defects, translates requirements into functional code, supports unit testing and quality assurance, participates in team planning, and learns new programming languages, frameworks, and tools as needed.

Build and ship software across Aurelian’s AI call-handling, dispatcher tools, analytics, and integrations. Engineers own product outcomes end to end by speaking with customers, identifying problems, defining roadmaps, prioritizing work, and iterating on solutions. The role involves full-stack development, customer visits to 911 dispatch centers, and close ownership of product decisions and delivery.

Develop, test, document, deploy, and troubleshoot software for semiconductor Atomic Layer Deposition equipment. Implement C# and .NET features, support equipment integration and laboratory testing, execute verification activities, maintain technical documentation, and collaborate with software and equipment engineers. The role also supports commissioning, system startup, software releases, and continuous improvement in office, laboratory, and manufacturing environments, with up to 15% travel for customer-site activities.

Leads full software development projects from requirements through deployment and maintenance. Designs full-stack, cloud-based, and service-oriented solutions; modernizes legacy applications; builds CI/CD pipelines; and supports Kubernetes environments. Monitors and troubleshoots critical systems using observability tools, produces technical documentation and UML models, supports secure communications systems, and collaborates with clients and multidisciplinary teams on architecture, integration, performance, and operational improvements.

Develop and scale backend infrastructure for an AI-native cybersecurity platform. Responsibilities include designing software applications, writing clean and documented code, delivering and testing features, troubleshooting and debugging issues, reviewing peer code, and maintaining technical documentation. The role supports systems that monitor large volumes of digital entities and detect social engineering threats such as phishing, impersonation, and fraud.

Designs, develops, tests, debugs, and documents software components for advanced aerospace systems. Collaborates with multidisciplinary teams on code quality, reviews, requirements, hardware integration, protocols, and software-hardware integration. Supports agile development and occasional travel in a hybrid environment. The role requires a bachelor’s degree, software development experience, proficiency in common programming languages, and an active Secret U.S. security clearance.

Serve as the senior hands-on technical lead for a small product engineering team. Build and own customer-facing AI-driven features across the full stack, including interfaces, backend services, infrastructure, and data pipelines. Mentor junior engineers, establish code review and engineering practices, guide architecture, and collaborate with product, customer-facing teams, and leadership to define priorities. The role requires recent production experience with language-model functionality and may involve AI evaluation, LLM observability, and agentic pipelines.

Build and maintain highly scalable ingestion pipelines and indexing solutions for semantic search and LLM grounding across enterprise M365 data. Design, implement, test, and operate low-latency, high-availability services while ensuring security, compliance, and integration with other engineering teams.

Build and own full-stack features for fintech products, with emphasis on high-volume backend services supporting lending, payments, payouts, ledgers, payroll, point of sale, and inventory workflows. Design scalable systems, contribute to architecture and engineering practices, use AI-assisted development, and collaborate with product, design, and engineering teams in a fast-moving greenfield environment.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Build and optimize Optiver’s Research Platform, including service orchestration, job scheduling, cluster management, distributed systems, and big-data processing. Develop scalable compute and data platform capabilities in Python and Rust, integrate emerging technologies such as GPU and CUDA tooling, and collaborate with traders, researchers, and engineers to improve large-scale simulations and model training.

Build and improve Optiver’s research platform, including service orchestration, job scheduling, cluster management, big-data processing, and managed compute and data infrastructure. Develop scalable, reliable features in Python and Rust, explore technologies such as GPUs and CUDA, and collaborate with traders, researchers, and engineers on large-scale simulations and model training.

Develop and maintain C++ scientific software, automated CI/CD workflows, and containerized cloud deployments in an Agile research and development environment. Responsibilities include software development, testing, integration, debugging, tool and prototype development, technical documentation, customer presentations, cross-disciplinary collaboration, and mentoring junior developers. The role requires Linux development, modern C++, container orchestration, IPC, and active Top Secret clearance with TS/SCI eligibility.

Develop, analyze, test, and implement sensor fusion, tracking, and state-estimation algorithms. Build C++ and Python prototypes and tools, resolve algorithm defects, conduct performance analysis, and support technical documentation and customer presentations. The role requires collaboration across engineering disciplines, Linux development, debugging, containerization, version control, Agile practices, and applied mathematics. It is an on-site position supporting defense and intelligence customers, requiring an active Top Secret clearance and 10% travel.

Build and scale Knowtex’s native Android application for clinical documentation. Own mobile workflows including recording, authentication, patient selection, note review, APIs, audio, background processes, and device capabilities. Improve reliability, security, observability, performance, and release quality while collaborating across engineering, product, and customer teams. Support enterprise healthcare deployments, investigate escalations, and contribute to technical design and code reviews.

Build and operate large-scale observability infrastructure for Anthropic’s multi-cluster AI systems. Responsibilities include telemetry ingestion and storage, instrumentation libraries, eBPF tracing, continuous profiling, cross-signal correlation, unified query interfaces, and AI-assisted diagnostics. The role involves improving reliability, operational efficiency, and incident response while partnering with Research, Inference, Product, and Infrastructure teams.

Build and scale backend platforms, orchestration systems, and user-facing capabilities powering Microsoft 365 Copilot. Collaborate with applied scientists and engineers to deliver scalable AI features, define architectures, create implementation plans, ensure robust testing, and improve engineering practices. Work spans enterprise-scale AI infrastructure, multimodal and agentic interactions, model capabilities, and production-ready intelligent systems.

Participate in the Gradient Development Program, complete technical training, pursue Google Cloud certifications, and work with technical and business leads to translate business requirements into software solutions. The role is designed for recent or upcoming computer science, statistics, or data science graduates and emphasizes programming, analytical problem-solving, communication, organization, and teamwork.