Top Software Engineer Jobs

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Design and build scalable developer tools and services with a front-end focus. Drive system design to deployment, revamp existing tooling, troubleshoot full-stack issues, collaborate with product and design, and integrate solutions into developer workflows to improve feedback loops and validation at scale.

Build and scale Netflix's in-house ad tech: ad serving, inventory/forecasting, campaign management, reporting, identity and audiences, and platform foundations. Collaborate with ad ops, product, and cross-functional teams to design architectures, implement cloud-based systems, run A/B experiments, and deliver high-performance, privacy-aware advertising solutions across client platforms.

Design and build backend services, REST APIs, and integrations for bank administrators and customers. Apply domain-driven design and microservice architecture, write well-tested, documented code, and participate in system design, code reviews, and agile SCRUM processes. Integrate with third-party services such as Plaid and SendGrid.

Develop, configure, integrate, and sustain Windows-based applications and interfaces. Support API and third-party integrations, deployment, testing, troubleshooting, and operational support to enable interoperability between sensors, communications, security platforms, and government infrastructure.

Hybrid role splitting time between hands-on development of cloud-native Java microservices and serving as Scrum Master. Responsibilities include design, coding, testing, CI/CD/DevSecOps practices, facilitating Agile ceremonies, removing impediments, coordinating releases, troubleshooting production issues, and mentoring junior engineers to deliver safety-critical FAA systems.

Hybrid role split ~50/50 between hands-on cloud-native Java microservices development and Scrum Master duties. Design, build, test, deploy, and maintain production services; facilitate Agile ceremonies, remove impediments, mentor engineers, coordinate releases, and support operational troubleshooting for safety-critical FAA modernization programs. US citizenship and Public Trust eligibility required.

Design, build, and operate cloud-native, large-scale data platform and real-time stream processing services. Lead distributed systems development using Java/Scala and big-data technologies, mentor teams, ensure scalability, reliability, security, and drive platform adoption across the organization.

Build scalable React/TypeScript frontends to visualize and interact with large-scale, real-time telemetry. Define data models and workflows, optimize rendering and performance, collaborate with product, design, and backend teams, and turn ambiguous requirements into intuitive, mission-critical interfaces for technical users.

Design, build, and maintain enterprise data ingestion pipelines, onboarding workflows, and API-based data services using Java and ETL tools. Modernize legacy pipelines to AWS and Databricks lakehouse, implement logging/monitoring, ensure security/compliance, and integrate with cloud/platform teams to support production-ready, governed data intake.

Develop, configure, test, debug, and support Workday integrations (Report Writer, EIB). Perform analysis, troubleshoot incidents, document work, monitor system health, and collaborate to deliver intermediate-complexity engineering tasks.

Develop, enhance, and support enterprise SQL-based financial applications across the full SDLC. Troubleshoot legacy production systems, collaborate with customers and cross-functional teams, implement DevOps practices, maintain documentation, and improve system reliability, performance, and maintainability within interconnected, secure environments.

Design, develop, and own reliable full-stack applications used across SpaceX. Build prototypes, collaborate on architecture and code reviews, implement CI/CD, testing, deployment, monitoring, and performance tuning. Work closely with cross-functional teams to solve user problems and support launch and Starlink operations. Must be onsite and may require extended hours.

Investigate and resolve complex customer-reported issues in large Java enterprise codebases, perform root-cause analysis, deliver production-ready fixes, use AI-assisted debugging and test generation, contribute to documentation and product enhancements, and participate in on-call pager rotations.

Design, build, and operate cloud-native backend systems and large-scale data ETL pipelines for ADAS simulation and analytics. Develop APIs, data schemas, automation, and testing strategies; collaborate with product and engineering teams, write technical documentation, and deliver features through the full software lifecycle.

Role is part of the Digital Science job family. Responsibilities primarily require complying with corporate policies, procedures, and security standards while performing assigned duties. Applicants must provide education and work history by uploading a resume or entering it in the application. Includes standard applicant privacy, equal-opportunity, and hiring notices; compensation range provided for US applicants.

Develop, test, and maintain web-based geospatial intelligence applications using Java/Python. Design features, integrate relational and NoSQL data, apply secure coding, participate in Agile sprints, code reviews, and CI/CD. Support performance tuning, documentation, and mentor junior developers in a classified environment.

Design and build scalable, cloud-native backend services and AI-powered applications. Implement agentic AI solutions and integrate LLMs with enterprise systems. Develop REST/GraphQL APIs, microservices, and event-driven architectures. Deploy on AWS, containerize with Kubernetes/Docker, build CI/CD pipelines, and ensure observability. Collaborate with cross-functional teams to deliver secure, high-performance enterprise solutions and leverage AI-assisted developer tools.

Develop and maintain ASP.NET Core APIs and service components for a C# desktop product; own medium-sized features end-to-end; contribute to Google Cloud-to-Azure migration (adapters, data migration, validation); build CI/CD, container deployments, observability, runbooks, and mentor junior engineers.

Develop and support build tools and infrastructure for large-scale C++ and Python product lifecycles. Write cross-platform software for Unix/Linux/MacOS/Windows, work in an agile team, collaborate with developers, algorithm experts, customers, and maintain SDLC using CMake and command-line tooling.

Design, build, and maintain scalable backend payment services supporting global payment processing. Implement secure data handling, improve reliability via observability and automation, apply software design principles, collaborate with cross-functional teams, and contribute to architecture and GenAI-driven improvements for high-availability, production systems.

Design and deliver full stack, client-facing loyalty experiences and embeddable placements. Lead end-to-end system and browser-side architecture, ensure scalability, performance, privacy, and compatibility across partner surfaces. Integrate AI/ML personalization safely, own features through implementation and operations, collaborate with product/data/design/partner teams, and mentor engineers while defining patterns and best practices for embedded cross-team solutions.

Design, build, and operate full‑stack services and customer experiences. Implement frontend and backend code, own service lifecycle (testing, deployment, monitoring, incident response), collaborate with product and design, apply data‑driven prioritization, and safely integrate AI/ML capabilities to improve system reliability and user experience.

Lead and deliver secure, high-quality software solutions for financial planning and analysis. Design, develop, review, and troubleshoot production code; drive adoption of enterprise AI-assisted engineering practices; leverage AWS and big-data technologies like Spark; evaluate vendors; automate remediation to improve operational stability.

Lead architect and implement scalable hybrid-cloud solutions, design and review high-quality code, conduct code reviews, collaborate with cross-functional teams, present to senior stakeholders, prioritize work, and mentor engineers to drive technical excellence.