Top Hybrid Software Engineer Jobs

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 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.

Leads the API Platform team, including hiring, coaching, performance management, and development. Establishes standards for secure and reliable API design and exposure, partners with Product and Engineering on roadmaps, supports strategic integrations, gathers customer feedback, manages API tooling vendors, and reports adoption, performance, usage, and partner satisfaction to leadership.

Reviews requirements, drafts software designs, estimates and breaks down development tasks, implements and unit tests software functions, collaborates with developers and QA to ensure test coverage, resolves issues, communicates progress, and identifies project risks.

Architect and develop scalable React frontend platforms that enable independent deployment by multiple product teams. Define architecture standards, reusable component libraries, design systems, modular services, and shared tooling. Guide platform adoption, mentor engineers, and collaborate with architecture, product, and UX leadership. Ensure frontend performance, security, scalability, and maintainability across enterprise systems while improving developer velocity and application stability.

Develop and maintain secure, scalable full-stack applications supporting DHS and CBP traveler screening systems. Responsibilities include building React and Angular front ends, Java and Spring microservices, REST APIs, cloud-native applications, AI/ML solutions, authentication, automated testing, containerization, CI/CD, and performance optimization. The role participates in architecture, requirements analysis, Agile Scrum, SecDevOps, deployment, modernization, and cloud migration initiatives.

Leads the design, development, testing, and deployment of Workday integrations, reports, business processes, and document solutions across HCM and Financials. The role integrates Workday with third-party systems and Google Cloud services, supports upgrades and incident resolution, applies security and governance standards, and mentors junior developers. Responsibilities include Workday Studio, EIBs, APIs, XSLT, BIRT, automated testing, application security, and least-privilege access management.

Build AI-powered customer support workflows, tools, integrations, and knowledge systems. Investigate recurring issues, improve AI troubleshooting, automate repetitive support tasks, develop dashboards, and partner with Technical Support, Customer Success, and Product Engineering to improve customer experience and scalability.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.