Top Software Engineer Jobs

Develop and maintain secure Salesforce solutions for Department of Defense customers. Lead junior developers, design complex features, build integrations, write Apex and Lightning Web Components, manage deployments, conduct code reviews, troubleshoot production issues, maintain testing and code coverage, and document technical designs for sustainment and authorization packages.

Build and maintain full-stack features across Python services, Snowflake data pipelines, Vue applications, and an AWS-based AI agent. Develop visualizations and workflows for complex energy-market data, operate production systems, resolve incidents, improve performance and security, review code, mentor engineers, and contribute to architecture, releases, and deployment practices.

Leads the Developer Environments infrastructure team, guiding technical strategy, delivery, reliability, and developer productivity. Responsibilities include mentoring engineers, hiring, prioritizing technical and resource needs, managing backlogs, setting goals, balancing speed with service-level objectives, and ensuring scalable, highly available infrastructure. The role requires technical planning and design participation, production infrastructure experience, and proficiency in a high-level programming language.

Leads software engineering strategy, architecture, technical project delivery, and development team management. Designs scalable cloud-native solutions, contributes hands-on to software development and code reviews, and promotes generative AI, DevOps, CI/CD, automated testing, and agile practices. Oversees .NET, C#, SQL Server, API, microservices, and AWS or Azure technologies while aligning technical initiatives with corporate growth objectives and communicating with executives and business stakeholders.

Develop and deploy Adobe Experience Cloud solutions, primarily Adobe Launch, Analytics, and Target, for enterprise clients. Responsibilities include requirements analysis, technical specification development, JavaScript and media-tag implementation, QA/UAT testing, solution design, effort estimation, client collaboration, mentoring, and supporting business development. The role requires managing multiple projects while delivering high-quality implementations within Agile development processes.

Build real-time user interfaces, internal tools, and dashboards for electronic options trading. Develop production-grade full-stack applications using JavaScript/TypeScript and Python, collaborate with traders and quantitative developers, automate trading-lifecycle processes, and own projects from design through deployment and maintenance.

Develop and support enterprise Java-based Warehouse Management System applications, integrations, microservices, REST APIs, and warehouse automation solutions. Integrate WMS with ERP, OMS, transportation, and third-party systems while leveraging Azure, Kubernetes, and data platforms. Lead SDLC activities, technical design, code reviews, troubleshooting, production support, modernization, documentation, vendor coordination, and mentoring. Improve performance, inventory visibility, order fulfillment, and warehouse execution across mission-critical distribution systems.

Develops and supports complex clinical, financial, and patient-data applications. Responsibilities include evaluating business needs, designing models and specifications, customizing packaged software, developing applications, implementing systems, troubleshooting, supporting users, leading projects, and providing technical guidance and training. Workday Extend experience is strongly preferred.

Leads the Events Analytics Platform engineering team building and operating petabyte-scale distributed data systems. Owns architecture, analytical storage and query infrastructure, scalability, reliability, performance, incident response, and technical execution. Partners with product engineering teams to deliver platform capabilities supporting Sentry products and AI-powered debugging. Develops engineers, drives technical decisions, and manages projects from design through production operations.

Build and extend Skydio’s AI coding-agent platform, including agent integrations, MCP servers, sandboxed execution, secure permissions, secrets handling, and auditability. Develop infrastructure for internal tools and agents, collaborate with firmware, autonomy, cloud, and application teams to improve workflows, measure adoption and engineering impact, and drive internal adoption of AI development tools.