Agiloft
Sr Software Engineer- Fullstack
Canada · Senior
Sponsorship not specifiedDetected 75 days ago
TypeScriptPythonReactBackend DevelopmentFull-Stack DevelopmentDynamoDBAWSRecruiting
About the role
- Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space.
- Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
- Our working philosophy is that "EX = CX": when employee experience is excellent, so is customer experience.
Responsibilities
- Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft's certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
- 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
- Implement front-end features and help manage a growing React project in TypeScript
- Collaborate with design and product teams to ensure that what we're building is scalable, maintainable, and secure
- 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
Requirements
- If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.
Company info
- With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage.
- Our no code platform is easily managed and administered by business users, which is why
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This listing is sourced directly from Agiloft's careers page and normalized into a canonical job model.