Top Hybrid Software Engineer Jobs

Senior Software Engineer responsible for designing scalable, reliable, observable, and well-tested backend or distributed systems. The role requires expertise in C, C++, or Rust; data modeling, APIs, service-oriented architectures, SQL, networking, and infrastructure. The engineer will work in AI-assisted development workflows, validate AI-generated code, contribute to architecture and technical direction, document designs, mentor peers, and collaborate across Product, UX, and Engineering.

Lead technical direction and hands-on development of Bitcoin and stablecoin iOS products across Cash App, Square, and Bitkey. Own architecture, implementation, testing, service integration, rollout, observability, security, and post-launch improvements. Build foundational systems, mentor engineers, influence cross-team standards, collaborate across platforms, and integrate AI-assisted development tools while maintaining software quality and reliability.

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.

Own and define Dubsado’s data infrastructure strategy, including pipelines, warehouse reliability, analytical modeling, data quality, observability, and tooling standards. Build scalable data systems, collaborate with engineering, product, and business teams, and support AI agents, customer-facing features, and internal users. Serve as the initial dedicated data specialist, operating autonomously while gradually distributing data quality ownership across engineering.

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.

Develops and supports web-based applications across the full technology stack. Responsibilities include implementing features, writing unit and integration tests, debugging operating system, database, application, JavaScript, and network issues, participating in code reviews, documenting solutions, researching technologies, and mentoring team members within an Agile environment.

Lead North America engineering teams for retirement products, provide technical and people leadership, drive architecture and delivery across multiple teams, adopt AI-native engineering practices, ensure operational excellence, and partner with product to shape roadmaps and execution.

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.