Top Software Engineer Jobs

Build and optimize low-latency C++ systems for market data processing, exchange connectivity, and order execution. Analyze performance across application, memory, CPU, networking, and operating-system layers. Collaborate with traders, FPGA engineers, and infrastructure teams, while owning production systems through design, testing, deployment, and real-time support.

Frontend engineering interns will build performant, intuitive interfaces, ship products with cross-functional teams, translate customer feedback into product improvements, and contribute to scalable engineering tools and practices. Candidates should have strong JavaScript fundamentals, product and visual attention to detail, programming experience, and a track record of building and shipping projects.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Develop, deploy, and operate highly scalable, reliable Azure cloud services for Windows Autopatch. Responsibilities include coding, debugging, refactoring, performance optimization, observability, incident response, on-call operations, and designing enterprise-grade software components. The role also serves as a designated responsible individual, guides engineers, monitors service health, and improves reliability and operational efficiency.

Contribute to full-stack features for spacecraft mission control and distributed ground control systems. Build React/TypeScript frontends and Elixir backend services, write maintainable and testable code, collaborate with operators, designers, and engineering specialists, and participate in design and code reviews. The role involves smaller, well-defined tasks under senior guidance during a three-month temporary engagement with potential conversion.

Provide Tier-2 support for the Streaming Hub: troubleshoot customer-facing issues, maintain UI components, debug distributed systems, build automation, assist in incident response, release validation, and contribute to operational documentation and reliability improvements.

Develop and test flight software for spacecraft computers, integrate GNC algorithms, maintain command telemetry databases, support command scripting, build subsystem simulators, and create device drivers and communications libraries. The role involves embedded RTOS development, hardware integration, mission testing, and collaboration with ground-control software teams. This is a three-month onsite temporary engagement in Denver or Long Beach, with potential conversion to regular employment.

Design, build, deploy, and operate scalable cloud-native microservices and APIs (Java/Spring Boot) on AWS/GCP and Kubernetes. Build event-driven systems with Kafka, ensure reliability via TDD, CI/CD, monitoring, and performance testing, and collaborate with cross-functional teams to deliver production services at global scale.

Build developer-experience tooling and frameworks that streamline development, testing, packaging, and production releases. Lead release tooling designed to move code changes to production within 10 minutes, implement quality feedback loops, and improve engineering workflows using qualitative and quantitative feedback. Collaborate with product managers, designers, and engineers to enhance developer productivity, engineering practices, and operational patterns while helping scale the team and platform.

Develop and maintain modern C++ spacecraft simulation software and multi-physics libraries. Model spacecraft dynamics, thermal systems, attitude control, propulsion, power, sensors, and actuators; implement numerical solvers and time-stepping algorithms; maintain Python and C++ APIs; and collaborate on mission planning, algorithm development, testing, code reviews, and sprint planning.

Develop scalable Java and AWS applications, customer-facing features, automation, observability, and self-service engineering solutions. Responsibilities include system architecture, prototyping, code reviews, CI/CD and infrastructure improvements, monitoring, production troubleshooting, Scrum participation, on-call support, and mentoring junior engineers.

Develop and maintain web-based features across the full stack. Write testable code, perform unit/integration testing, debug OS/DB/app/JS/network issues, participate in code reviews, mentor teammates, research new technologies, and produce documentation and support materials. Work in an agile team to deliver high-quality solutions.

Design, develop, and integrate cloud-native software solutions; analyze system requirements; support application updates and releases; mentor junior engineers; collaborate with QA; troubleshoot production issues; run trainings and contribute to platform and developer tooling initiatives.

Build developer-experience tooling and frameworks for efficient development, testing, packaging, and rapid production releases. Lead release tooling design, establish quality feedback loops, improve engineering workflows through qualitative and quantitative feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers to enhance developer productivity and satisfaction while contributing to team and process growth.

Develop and maintain web-based applications across the full stack, including feature development, bug fixing, testing, debugging, documentation, and code reviews. Collaborate within an Agile team, research emerging technologies, troubleshoot operating systems, databases, applications, JavaScript, and networks, and contribute to process improvements. The role also includes mentoring teammates and delivering technical training.

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Assists with designing, developing, testing, debugging, documenting, and integrating software for aerospace applications. Collaborates with cross-functional teams, participates in code reviews, supports software quality and performance, and helps integrate software with hardware systems. The role requires a relevant bachelor’s degree, programming proficiency, and the ability to obtain and maintain a Secret U.S. security clearance. It is hybrid with occasional travel.

Develop reliable full-stack software and automation for SpaceX’s advanced machine shop. Responsibilities include designing, testing, deploying, and rapidly creating web applications that improve manufacturing cycle times, integrating CNC machine control and deployment, solving user problems, and contributing to architecture, design, and code reviews. The role may also involve AI-driven CNC programming and production software used across SpaceX teams.

Develop reliable full-stack software for SpaceX’s advanced machine shop and manufacturing operations. Responsibilities include designing, testing, deploying, and rapidly creating web applications, AI solutions, CNC automation, and machine-control software. The engineer will improve production cycle times, solve user problems, and contribute to architecture, design, and code reviews. Experience with manufacturing is not required.

Build and improve operator and customer software using TypeScript, React, and Rust. Develop Electron application features, collaborate with product and vehicle engineers, and own features from requirements through testing, documentation, and post-release support. Contribute to full-stack product development involving data models, APIs, performance, and reliability. This junior role emphasizes learning quickly, communication, independent problem-solving, and practical software development experience.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Develop and validate C++ software for Philips’ Azurion Eye clinical imaging platform. Translate requirements into real-time application features, perform code reviews and static analysis, maintain software design documentation, conduct unit and manual testing, and follow Agile, quality-management, and medical-device regulatory processes. Collaborate with product owners, AI/ML engineers, testers, and global stakeholders in an office-based, cross-functional environment.

Design and build high-performance APIs, streaming data infrastructure, internal tools, and data-processing libraries for options analytics. Develop systems that ingest, transform, analyze, and serve real-time and historical market data across distributed infrastructure. Maintain Kubernetes, cloud, and bare-metal environments while applying software engineering best practices and AI-assisted development workflows.

Lead the design, development, testing, deployment, and operation of secure full-stack applications using frontend and backend technologies. Build scalable APIs and accessible user experiences, improve resiliency and performance, troubleshoot production issues, and guide code quality and architecture. Drive CI/CD, automation, observability, secure development, AI-assisted engineering practices, and technical initiatives across agile, cross-functional teams.