Top Software Engineer Jobs

Develop simulation, modeling, wargaming, and aerospace analysis tools using scalable web architectures. Design software for flight and ground systems, laser communication networks, and multi-platform applications. Contribute across requirements, architecture, coding, testing, deployment, design reviews, code reviews, UI/UX, and performance optimization. Collaborate cross-functionally to deliver robust solutions using .NET, Angular, relational databases, and RESTful APIs.

Architect and deploy distributed simulation environments for complex aerospace systems and constellations. Build data pipelines for massive simulation datasets, perform statistical analysis and visualization, optimize HPC infrastructure, translate mission objectives into scalable architectures, and integrate synchronized simulation ecosystems. The role requires software architecture, distributed computational modeling, Monte Carlo campaign analysis, physical-systems modeling, and collaboration with aerospace domain experts.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Develop, integrate, deploy, troubleshoot, and sustain enterprise software for the GATEKEEPER product and DoD clients. The role uses Java/Spring Boot, Python, relational and NoSQL databases, Docker, and CI/CD practices. Responsibilities include collaborating across engineering and QA teams, participating in code reviews, supporting installations, resolving technical issues, and maintaining architecture, deployment, process, and training documentation.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Develop, integrate, and validate vehicle software for infrared perception and ADAS safety systems. Translate requirements and AI perception outputs into vehicle warnings, decisions, and control actions for features such as AEB, FCW, ACC, and blind-spot monitoring. Perform real-time and multithreaded software development, vehicle integration, CAN network interfacing, low-level hardware bring-up, and Linux-based troubleshooting. Support customer demonstrations, vehicle testing, documentation, and multidisciplinary engineering collaboration.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Build secure, high-performance applications, support cloud infrastructure and CI/CD pipelines, troubleshoot production issues, and optimize system reliability. Collaborate with cross-functional teams, participate in Agile ceremonies, review code, mentor junior engineers, and contribute across the full stack as needed.

Designs, develops, tests, and maintains scalable backend services, APIs, microservices, and secure high-performance applications. The role contributes across the full stack, supports cloud infrastructure and CI/CD pipelines, troubleshoots production issues, optimizes system reliability, reviews code, mentors junior engineers, and collaborates with cross-functional teams in Agile ceremonies. Acts as a technical expert across multiple projects.

Lead architecture and development of Python-based hardware test frameworks, instrument drivers, test result databases, and UIs. Integrate frameworks with CI/CD and hardware-in-the-loop systems, build shared spacecraft-level tests, partner with subsystem teams for adoption, and mentor engineers to ensure code quality across hardware test software.

Leads architecture, design, implementation, and delivery of highly scalable content platforms serving millions of consumers. Writes critical-path code, decomposes complex architectures for multiple teams, drives engineering standards, operational excellence, AI-assisted development, and cross-functional alignment. Mentors engineers, leads design reviews, participates in hiring and promotion assessments, and influences long-term technical and business strategy.

Leads end-to-end design and delivery of scalable backend services for Disney’s News Distribution Platform. Sets architectural direction, improves availability, resiliency, latency, performance, observability, and operational excellence. Partners with product, editorial, and engineering teams, conducts code reviews, mentors engineers, manages technical initiatives, and supports CI/CD, incident response, monitoring, and documentation.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Own the architecture and technical direction of large-scale distributed systems or agent-centric AI products. Lead complex technical decisions, establish engineering standards, partner with executive leadership, and guide high-priority initiatives. Build and operate production systems serving over 100,000 users while using AI-assisted development tools. The role requires extensive backend or full-stack engineering experience and offers Staff or Principal-level scope.

Designs, develops, tests, deploys, maintains, and supports enterprise software applications using C#, .NET, ASP.NET Core, SQL Server, APIs, and related technologies. Owns application performance, reliability, scalability, troubleshooting, and continuous improvement. Serves as a technical subject matter expert, contributes to architecture and technology decisions, partners with DevOps on CI/CD automation, and mentors engineers. Collaborates with business stakeholders, product owners, vendors, and project teams throughout the software development lifecycle.

Designs and develops complex front-end software products and enhancements using reusable components and modern frameworks. Builds scalable, high-performance web applications, integrates third-party APIs, participates in design and code reviews, and collaborates with engineers and designers. Provides ongoing maintenance, troubleshooting, customer support, and continuous-improvement recommendations in an Agile environment.

Build and maintain front-end and back-end features, RESTful APIs, and services under senior-engineer guidance. Write clean code, tests, and secure data-handling practices; debug issues and participate in code reviews, agile ceremonies, and technical discussions. Take ownership of scoped tasks, communicate clearly, learn quickly, and progressively deliver more complex client-facing software features across web, mobile, and AI-integrated projects.

Build and maintain performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Collaborate with product managers, designers, and engineers to scope projects, refine interfaces, develop shared infrastructure, and make architectural trade-offs. Teams may focus on client foundations, server-driven UI, advertising frameworks, or ad insertion. Responsibilities include writing robust maintainable code, automation, documentation, and supporting high-quality, scalable mobile experiences.

Design, develop, and maintain a full-stack internal web application tracking fish from catch to customer. Build backend services, APIs, data systems, reporting, and integrations with robotics and ERP platforms. Implement DevOps workflows covering deployment, monitoring, logging, and automated testing. Collaborate with robotics, operations, and business teams to create user-friendly tools and support a new processing facility.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot/React applications. Drives CI/CD, automation, operational stability, vendor evaluations, and engineering communities of practice.

Lead technical contributor on an agile Investment Banking engineering team. Design, develop, debug, and optimize secure production Java/J2EE/Spring Boot systems; drive adoption and validation of enterprise-approved AI-assisted engineering practices; lead vendor evaluations, automation and remediation efforts, and communities of practice; mentor engineers on responsible AI use and ensure test automation, performance tuning, and operational stability.

Lead an agile team to design, build, and operate low-latency, high-availability Python applications for Rates trading desks, owning architecture across data ingestion, calculation services, UI, and operational tooling. Partner with traders, drive technical decisions, improve CI/CD and observability, mentor engineers, and ensure production correctness, performance, and resiliency under tight timelines and high business impact.