Staff Software Engineer

We’re looking for a

Staff Software Engineer to join our Adoption and Onboarding team in Bangalore. We are a newly formed team dedicated to bridging the gap between product capability and customer value, ensuring every interaction with Procore is helping customers achieve their business outcomes. In this role, you’ll drive the technical direction of the

backend services and APIs powering the end-to-end onboarding and adoption experience for Procore customers worldwide. You’ll work across the backend stack while collaborating closely with frontend engineers to build robust APIs and customer-facing experiences that integrate with Procore’s Data and AI platforms. As a

Staff Software Engineer, you’ll partner with Product, Design, Data Engineering, and Machine Learning teams to design and build solutions that delight users and solve critical business problems. Use your development experience, technical leadership, and ability to communicate complex solutions to set the technical bar for the team. Join us in making a significant impact on one of the world’s least digitized industries. Apply today! This position reports to the Senior Manager, Software Engineering and will be based in our Bangalore, India office. We’re looking for someone to join us immediately. What you'll do

• Drive the technical direction and design of the Adoption and Onboarding team’s backend services and APIs, in close partnership with Product, Design, and Engineering leadership.
• Work across backend services and APIs while partnering closely with frontend engineers to deliver customer-facing experiences, with deep ownership of service design, versioning, performance, developer experience, and API lifecycle for both internal and external consumers.
• Own the full stack from React-based customer-facing experiences through backend services and APIs, with deep ownership of service design, versioning, performance, developer experience, and API lifecycle for both internal and external consumers.
• Design and build customer-facing UI architecture, including component design, state management, and client-side performance, in addition to the backend services powering it.
• Design, build, and operate scalable REST and GraphQL APIs, including schema design, schema versioning, authentication, performance optimization, and API lifecycle management.
• Architect and build low-latency, scalable backend services, leveraging event-driven architectures, idempotent API design, caching strategies, and modern distributed systems principles.
• Partner closely with Data Engineering and Machine Learning teams to integrate data pipelines, model serving, and AI-powered features into the onboarding and adoption experience, ensuring clean contracts, reliable delivery, and strong observability across system boundaries.
• Ensure backend services are scalable, secure, observable, and aligned with Procore-wide Engineering direction and platform standards.
• Lead engineering initiatives that improve developer productivity, code quality, platform health, and operational excellence, while challenging the status quo when better approaches exist.
• Champion the responsible and effective adoption of AI-assisted development tools (such as Claude Code, Cursor, GitHub Copilot, and similar), establishing best practices for productivity, code review, and engineering quality across the team.
• Define and uphold KPIs and SLOs for the team’s services and APIs, and contribute to a strong incident response posture so customer-impacting issues are resolved quickly.
• Communicate complex technical problems and solutions to technical and non-technical stakeholders through design documents, architecture reviews, and technical discussions.
• Mentor junior engineers across the team, raising the technical bar through architecture guidance, code reviews, design feedback, and hands-on collaboration.
• Collaborate across engineering teams on large-scale initiatives to further our goal of connecting everyone in construction on one global platform. What we're looking for
• 8+ years of experience architecting end-to-end solutions, with a proven track record of building and scaling data-intensive web applications and resilient backend services.
• Deep hands-on experience building scalable, resilient backend services using Node.js, with strong expertise in REST and GraphQL APIs, PostgreSQL, distributed systems, event-driven architectures, idempotent API design, schema versioning, caching strategies (such as Redis), and modern API integration patterns. Working knowledge of React and TypeScript is preferred for effective collaboration across the full stack.
• Demonstrated experience designing, building, and operating REST and GraphQL APIs at scale, including schema design, authentication, performance optimization, API versioning, and lifecycle management.
• Experience working with relational and document databases, designing scalable data models and optimizing query performance for high-throughput applications.
• Proven track record of partnering with Data Engineering and Machine Learning teams to ship production features, including integrating data pipelines, model serving, and ML-driven experiences into customer-facing products.
• Demonstrated experience adopting AI coding tools (for example Claude Code, Cursor, GitHub Copilot, or similar) in a production engineering environment, with a clear point of view on improving engineering velocity and code quality.
• Strong foundation in Object-Oriented Programming, Test-Driven Development (TDD), Service-Oriented Architecture (SOA), distributed systems, and software design principles.
• Comprehensive knowledge of the full software development lifecycle, including CI/CD, testing strategy, deployment, runtime platforms, monitoring, observability, and incident response.
• Proven experience working in an Agile/Scrum environment.
• Track record of anticipating technical challenges within large-scale initiatives and designing scalable, maintainable solutions.
• Strong experience documenting architecture and bringing clarity to complex technical solutions.
• Experience collaborating with globally distributed teams across multiple time zones.
• Fluent in spoken and written English.