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# Staff Software Engineer - Backend

- **Company:** Agiloft, Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cursor (Graphical User Interface Elements), Amazon DynamoDB, Python (Programming Language), Systems Development Life Cycle, Delivery Pipeline, Grafana, Backend, Functional Programming, Api Design, Api Gateway, Serverless Computing
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2ae2e250d61783f3

## About the Role

Do you have experience in Tooling?, * At least 8 years of professional experience as a software engineer

 * Strong experience building backend services and APIs using Python in a product-focused environment
 * Proficiency in using relevant AI tools in the SDLC (Cursor, Codex, Claude Code)
 * Familiarity with infrastructure-as-code, observability tools, and cloud-native best practices
 * Self-motivated and accountable, with a strong sense of ownership over the systems you build
 * Collaborative, low-ego team player who thrives in cross-functional settings
 * Creative and pragmatic problem solver with a mindset for building scalable, maintainable systems

## Description

Engineers at Agiloft design, build, and deploy products designed to fundamentally change how contracts are created, reviewed, negotiated, and stored. You'll be working with a team of experienced entrepreneurs, engineers, data scientists, designers, and legal subject matter experts to build cutting-edge innovations for a fast-growing scale-up company., * Lead the design and development of core platform features using Python and an API-first approach

 * Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture
 * Collaborate with design and product teams to ensure that what we're building is scalable, maintainable, and secure
 * Contribute to infrastructure and deployment workflows in our AWS serverless environment (e.g., Lambda, API Gateway, DynamoDB)
 * Independently lead proof-of-concept projects and tackle complex architectural and engineering challenges
 * Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities


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