Staff Platform Engineer AI

Agiloft is a global leader in data-first contract lifecycle management software, helping organizations manage contracts efficiently. The Staff Platform Engineer will design, build, and maintain enterprise software applications while collaborating with cross-functional teams to create innovative solutions for contract management.

Responsibilities:

• Build and maintain software applications in our suite of enterprise software products
• Work with product managers and designers to brainstorm bottom-up solutions to novel problems
• Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs
• Continuously improve the code quality, extensibility, scalability, and test coverage of software projects
• Make architecture and cloud-engineering decisions in conjunction with other engineers
• Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools
• Improve internal developer tools, workflows, and best practices to enhance team efficiency
• Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders
• Troubleshoot and resolve complex issues across the entire application stack
• Mentor junior team members
• Participate in incident response and disaster recovery efforts
• Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
• Other duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Minimum of 8 years of professional experience as a software engineer
• Minimum of 3 years in a tech lead, architecture lead, or management role
• Comfortable working with Python in core application code
• Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar)
• Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
• Strong problem-solving, collaboration, teamwork and communication skills
• Eagerness to learn and adapt to new technologies and tools
• Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations
• Deep understanding of version control systems (Git)
• Deep understanding of relational databases and data modeling (Postgres preferred)
• Deep understanding of infrastructure as Code in AWS (CloudFormation, SAM)
• Deep understanding of RESTful API design and documentation
• Deep understanding of CI/CD tools such as GitHub Actions or similar
• Deep understanding of containerization and orchestration (Docker, ECS)
• Deep understanding of enterprise-scale cloud engineering in AWS
• Deep understanding of modern software development lifecycle on an agile product team
• Interest in team leadership and career growth
• Experience building applications on top of LLMs using commercial APIs
• Familiarity with Postgres, query optimization, and database indexing
• Exposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)
• Experience with monitoring and observability across deployments and tenants
• Interest in application security and cloud security