Top Software Engineer Jobs

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

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.

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.

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.

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.

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.

Own and evolve scalable backend systems and infrastructure powering educational products. Build end-to-end features, design APIs, operate production systems, improve observability and CI/CD, support reliability and incident response, and provide technical leadership through architecture discussions, code reviews, and mentorship. The role requires close collaboration with product and design teams, comfort with ambiguity, and occasional full-stack contribution.

Own and lead backend engineering initiatives for financial platforms, designing scalable Java and Ruby distributed services, Kafka data streams, PostgreSQL databases, AI-enabled features, and React components. The role includes production operations, observability, testing, and collaboration with product, architecture, and engineering teams to deliver resilient software.

Leads research, design, development, integration, and testing of software for radar and missile-warning systems. Coordinates hardware/software interfaces, requirements, architecture, verification, documentation, automated builds, security findings, and external model/API integration. Provides technical leadership and mentorship while supporting cost, schedule, and technical constraints. Develops browser-based controls, 3D visualization, target-data streaming, system-status displays, and timing-sensitive radar and communications integrations.

Leads research, architecture, design, development, integration, verification, and testing of software integrated with radar hardware for space-domain and missile-warning missions. Serves as the senior technical authority, resolving complex interface, timing, performance, security, and maintainability issues. Guides multidisciplinary engineering teams, operator applications, APIs, simulations, visualization, data streams, and hardware control while managing technical scope, cost, schedule, and risk.

Leads the design, development, deployment, maintenance, and optimization of scalable full-stack software systems. Responsibilities include coding, debugging, code reviews, API development, cloud-native deployment, testing, monitoring, performance optimization, production support, incident response, technical mentoring, and establishing development standards. The role collaborates cross-functionally, drives API-first and AI-enabled engineering practices, and participates in on-call support.

Build and operate Triumph’s full-stack product platform, including payments, ledger systems, identity, fraud prevention, notifications, operational dashboards, and infrastructure. Ensure critical systems are reliable, auditable, and scalable across products, countries, currencies, and 16x growth. Develop new payment rails, trust tooling, and platform capabilities while using AI agents throughout the software development lifecycle.

Design, build, and maintain scalable backend services, APIs, data pipelines, and integrations using Python. Develop automated tests, optimize performance, containerize applications with Docker, deploy Kubernetes workloads through Helm, and maintain CI/CD security and quality gates. Collaborate with agile, cross-functional teams to deliver resilient production systems while contributing to architecture, peer reviews, debugging, and DevSecOps practices.

Develop and maintain C/C++ software for mission-critical C4I, radar surveillance, and ISR systems. Responsibilities include sensor integration, radar tracking, sensor fusion, data correlation, real-time displays, troubleshooting, performance optimization, deployments, testing, documentation, and collaboration with government stakeholders and AI/ML teams. The role requires expertise in real-time and multithreaded programming, Linux environments, networked data, legacy codebases, and tracking algorithms.

Design, build, and scale backend services and APIs for an AI detection platform. Own AWS infrastructure, reliability, performance, observability, data pipelines, caching, and production model serving. Collaborate with machine learning and frontend teams, resolve scaling bottlenecks, and establish best practices for testing, deployment, and incident response.

Develop and maintain the Zepharis web product suite across frontend, backend, database, and deployment layers. Build full-stack features with Python, React, FastAPI, PostgreSQL, and related technologies; troubleshoot local, CI, and production issues; architect schemas and migrations; document technical decisions; and mentor engineers through code reviews and design discussions.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Lead the software architecture and development of a clinical prototype for precision surgery. Build robust multi-device communication infrastructure, high-performance data and image processing, real-time systems, and responsive desktop interfaces. Collaborate with hardware, research, mechanical, electrical, and clinical teams while balancing rapid prototyping with regulated medical software requirements. Mentor engineers, establish software processes, and guide development through first-in-human studies.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Lead full‑stack engineer responsible for designing, building, and operating secure, high‑quality React frontends and Java backends; championing engineering standards, AI‑assisted development practices, CI/CD automation, secure SDLC, testing strategy, and mentoring teams to ensure reliable, observable, and scalable production systems.

Develop and maintain Python backend services, scripts, APIs, data connectors, messaging interfaces, and automated tests. Troubleshoot defects, package applications in Docker, and assist with Kubernetes deployments using Helm and CI/CD pipelines. Participate in agile ceremonies, code reviews, and continuous verification while collaborating with senior engineers. The role supports mission-critical capabilities and requires an active Top Secret clearance, with TS/SCI polygraph experience preferred.

Build and enhance FinTech alternative-investment platforms across the full application stack. Develop Angular and backend solutions, REST APIs, and event-driven microservices using Node.js and related technologies. Participate in design meetings and Agile ceremonies, collaborate with product managers, testers, sales, support, and third-party API teams, and apply AI-assisted development workflows, system design, cybersecurity practices, TDD, and continuous delivery.

Staff Software Engineer responsible for owning major platform areas end to end, including service design, data modeling, APIs, deployment, observability, and production operations. The role sets technical direction, partners with product and design, models government-domain workflows, mentors engineers, and supports reliability, security, compliance, and audit needs. Experience with distributed systems, cloud infrastructure, asynchronous workflows, and optionally LLM agents, workflow orchestration, Kubernetes, and government compliance is valued.