Top Senior Software Engineer Jobs

Design and operate high-throughput data pipelines, streaming services, time-series storage, and industrial data historians for sensor telemetry in test and production systems. Ensure reliable ingestion without data loss, define data architecture and schema standards, improve operational reliability, and support visualization and analytics teams. The role includes debugging, root cause analysis, engineering standards, and collaboration across controls, test automation, and visualization functions in safety-critical, 24/7 environments.

Leads technical direction and architecture for Uber One membership engineering across growth, retention, benefits, experimentation, and infrastructure. Designs highly scalable distributed systems, coordinates complex multi-team initiatives, drives experimentation and data-informed product development, mentors senior engineers, and partners with Product, Data Science, Marketing, and business leaders to deliver reliable membership experiences across Rides, Delivery, and Grocery.

Own the product surface and underlying services for an AI-powered workflow platform. Build review, correction, and approval interfaces; durable state, jobs, queues, retries, and core domain models; and deliver features end to end from schema through user interface. The role requires strong Python skills, comfort with probabilistic systems, product judgment, customer engagement, and experience building at an early-stage company.

Develop and maintain complex full-stack web applications using React and Node.js. Collaborate with Product, UX, and engineering teams to deliver accessible, scalable, secure applications across monoliths, micro-frontends, and services. Lead work through the full SDLC, including requirements, system design, deployment, maintenance, code reviews, continuous integration, and automated testing.

Designs and maintains Eclipse-based IDE components, REST API servlets, web applications, database interfaces, and automated testing systems. Develops with Java, JavaScript, TypeScript, Python, React, SQL, and NoSQL databases across Windows and Linux. The engineer analyzes requirements, improves existing software, collaborates with hardware and architecture teams, and integrates Agentic AI workflows into developer tooling.

Design, develop, test, and maintain scalable C#/.NET applications, RESTful APIs, and GraphQL services. Collaborate with cross-functional teams on technical requirements and solution design, troubleshoot complex issues, conduct code reviews, support CI/CD and automated testing, and mentor engineers. The role also contributes to cloud-based solutions, microservices, distributed systems, and continuous improvement of software development practices.

Develop and evaluate software engineering solutions supporting the Air Force ACME program, an AI-driven classification management platform. Responsibilities include software design, testing, system validation, technical documentation, program reviews, engineering support, risk management, trade-space analysis, roadmap development, and technical training across acquisition, integration, sustainment, deployment, and operations.

Build and maintain scalable frontend applications supporting vehicle sales and operational workflows. Own features end-to-end from technical design through production, integrate backend APIs and third-party services, optimize performance and accessibility, contribute to shared component libraries, and collaborate with product, design, and engineering teams. The role also involves architectural leadership, code reviews, secure development practices, and using AI-assisted tools to improve engineering velocity.

Build and scale reliable full-stack products for paving contractors, including AI-powered estimating, crew optimization, and automated business insights. Own system performance, security, observability, automation, testing, deployment, and technical standards. Collaborate with engineering, product, design, and company founders while helping shape team culture and development practices.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Leads a development team building a classification marking tool for an ICAM Zero Trust program. Responsibilities include providing technical guidance, enforcing code quality, managing project progress, demonstrating solutions, communicating risks, supporting user acceptance testing, maintaining configuration management, preparing deployment packages and documentation, and coordinating customer and software delivery activities.

Develop and maintain end-to-end full-stack software solutions in an agile environment. Design, modify, test, deploy, debug, and monitor applications across UNIX and Linux systems. Build interfaces with third-party products, enhance existing code, resolve complex workflow problems, and collaborate cross-functionally on architecture and system improvements. The role also involves supporting APIs, DevOps practices, automated testing, and software solutions for potentially classified environments.

Develop, integrate, deploy, and maintain robust software applications for federal programs. Responsibilities include providing status estimates, supporting DevSecOps and agile development, working with cloud, containerized, front-end, and back-end systems, automating testing and CI/CD, and troubleshooting Linux-based environments. The role requires an active Secret clearance and expertise in Python, Go, Bash, JavaScript, Kubernetes, virtualization, and command and control systems.

Design, develop, test, and maintain C++ and C# desktop applications using WPF for semiconductor equipment. Architect multithreaded software, integrate applications with hardware and automation systems, optimize performance and reliability, troubleshoot complex integration issues, participate in code reviews, document designs and tests, and contribute to software architecture and technology roadmaps.

Develop and maintain APIs and software applications across the full SDLC. Responsibilities include software architecture, clean and automated coding, code reviews, debugging, testing, deployment, documentation, system monitoring, and collaboration with internal teams and vendors. The role requires extensive Python, AWS, Docker, microservices, and DevOps experience, with independent ownership of development activities in a remote environment.

Design, build, and operate secure, scalable Java microservices for a high-traffic consumer platform. Develop production LLM features using RAG, agentic workflows, and tool-use patterns. Lead design discussions and code reviews, improve quality and testing, partner with product, security, and platform teams, and resolve performance and scalability issues. Deploy and operate services on AWS using Docker and Kubernetes while applying event-driven architecture, CI/CD, infrastructure as code, and automated testing.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Own a major product surface, write and review production code, make long-term architecture and build-versus-buy decisions, and maintain high correctness standards. Collaborate directly with founders on roadmap, improve evaluation systems, and optionally lead a small engineering pod through code reviews, one-on-ones, and technical mentorship. Work involves ambiguous problem definition, end-to-end system ownership, and potentially LLM-powered platforms, cloud infrastructure, compliance-aware design, and internal engineering tools.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through architecture, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, and scalability while collaborating across infrastructure, networking, storage, security, and SRE teams. Senior engineers lead complex domain work; Staff engineers shape cross-team architecture and mentor others.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference infrastructure, autoscaling, internal deployment tools, observability, and production support. The role requires deep Kubernetes and distributed systems expertise, strong Go and Python skills, and collaboration across networking, storage, compute, and AI infrastructure teams.