Top Hybrid Software Engineer Jobs

Leads and develops software engineering teams while overseeing technical execution, architecture, scalability, security, testing, monitoring, and delivery. Partners with Product, Design, Data, and Business teams to define roadmaps, prioritize initiatives, and build platform integrations and financial systems. Provides mentorship, career planning, architectural guidance, and process improvement across established products and greenfield initiatives.

Lead Agile software teams developing secure full-stack web applications for defense and national security customers. Responsibilities include sprint planning, technical leadership, customer requirements gathering, frontend development with React, backend API development with Python, cloud deployment, containerization with Docker and Kubernetes, and collaboration on scalable, maintainable software systems using DevSecOps practices.

Build and deploy full-stack custom solutions for strategic customers using monday.com APIs, SDKs, app frameworks, and automation tools. Lead customer discovery, translate business needs into technical designs, develop production applications, manage deployment and DevOps considerations, and support live solutions. Projects typically last 2–6 weeks and require strong communication, independent execution, and customer collaboration.

Build and maintain real-time, event-based systems for the Offers team. Lead the design and development of scalable services, create maintainable technical solutions, enforce code quality and governance, and own systems from development through production. The role involves mentoring developers, estimating work, documenting solutions, supporting business needs, and working across Go, TypeScript, React, SQL, Kafka, and GCP.

Leads the design, development, testing, deployment, maintenance, and support of enterprise software applications, APIs, integrations, automation, and data solutions. Establishes SDLC, change management, secure coding, CI/CD, testing, and release governance practices. Designs and administers relational databases, ensures data quality and recovery, leads incident analysis, mentors developers, and supports modernization and cloud adoption.

Design, build, and maintain high-throughput, low-latency backend APIs and microservices for flight search, booking, payments. Own features end-to-end, ensure resiliency with testing and observability, collaborate with cross-functional partners, and modernize cloud-native systems at scale.

Build full-stack AI governance and observability features for Hex’s data platform. Responsibilities include developing React and TypeScript interfaces, backend language parsers, SQL generation, AI context systems, semantic models, agent audit tools, and workflows for governing and debugging AI-generated answers. The role requires solving front-end UX and backend scalability challenges while working with data teams and modern data warehouse technologies.

Manages a middleware software engineering team responsible for web services, databases, APIs, and IoT backend systems. Oversees resource planning, project execution, budgets, architecture, software quality, CI/CD, release processes, and technical standards. Leads recruiting, performance management, training, and consultant coordination while driving continuous improvement and technology roadmaps. Collaborates with product, marketing, architecture, engineering, and scrum teams to deliver reliable, secure, high-quality software products.

Own important customer-facing product problems end to end, from understanding complex financial workflows to designing, building, and shipping reliable software. Collaborate closely with customers, product, design, and engineering while applying strong technical and product judgment. Drive adoption and customer outcomes after launch, create clarity from ambiguity, and raise engineering standards through hands-on product development.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.