Top Senior Software Engineer Jobs

Develop and validate safety-critical flight software for a reusable satellite platform. Responsibilities include architecting Linux-based embedded systems, autonomous operations, fault detection and recovery, spacecraft communications, telemetry, distributed subsystem software, and SIL/HITL testing. The engineer will create automated test pipelines, support integration and on-orbit commissioning, and collaborate with GNC, avionics, and mission operations teams.

Design, develop, test, and maintain complex software systems for intelligence and analytics applications. Implement RF signal processing, analytics, visualization, and integrate new and legacy software across varied hardware. Contribute to system-level design, perform code reviews and testing, and resolve software problem reports.

Design and implement production-quality system software, tools, and frameworks for enterprise storage systems. Develop and run realistic validation and analysis solutions, debug cross-layer issues (application, OS, driver, hardware), collaborate with firmware/hardware teams, drive technical design, mentor engineers, and evolve internal tooling with AI integrations.

The role involves leading frontend development, maintaining UI components, overseeing CI/CD pipelines, mentoring engineers, and enhancing application performance in collaboration with cross-functional teams.

The Senior Software Engineer will design AI features, maintain data pipelines, develop scalable ML serving infrastructure on AWS, and lead cloud-native software solutions.

Develop and maintain complex full-stack web applications using React and Node.js. Lead software through the full SDLC, from requirements and system design through deployment and maintenance. Build accessible, performant client-side applications, micro-frontends, and services; integrate frontend and backend components; and ensure quality through continuous integration, code reviews, and automated testing. Collaborate with Product, UX, engineering teams, and healthcare-domain professionals using Agile delivery practices.

Build and enhance large-scale entity resolution and matching services using Java, Spring, cloud-native infrastructure, distributed systems, and machine learning. The role involves designing scalable, reliable, low-latency backend solutions; improving matching results; supporting millions of users and billions of documents; collaborating with product and architecture teams; and driving the long-term roadmap for matching algorithms.

Lead console development for an unpublished game. Collaborate across teams, solve technical problems, optimize performance, and mentor new engineers.

Build and own full-stack product features for an AI-powered biopharma documentation platform. Develop React and TypeScript interfaces, backend services, APIs, data models, and production deployments. Design scalable systems for complex enterprise workflows, create AI-native scientific and regulatory content experiences, collaborate cross-functionally, and make pragmatic architectural decisions in a fast-paced startup environment.

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.