Staff Platform Engineer
United States
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Agiloft
Set the bar higher with Agiloft's contract lifecycle management software that automates your processes, reduces risk, & drives more revenue.Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
As a Staff Platform Engineer, you will work with a fast-moving, ambitious team, building and maintaining enterprise software applications. You will collaborate with a group of designers, AI experts, and other software engineers in pursuit of a common goal: to build great software products that solve high-stakes problems for our customers. The Staff Platform Engineer will primarily work on Screens, an AI-powered contract review application run by a small, experienced team. The team runs a modern software stack and iterates rapidly.
Job 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
- Other duties as assigned
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
- Minimum of 10 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)
- Relational databases and data modeling (Postgres preferred)
- Infrastructure as Code in AWS (CloudFormation, SAM)
- RESTful API design and documentation
- CI/CD tools such as GitHub Actions or similar
- Containerization and orchestration (Docker, ECS)
- Enterprise-scale cloud engineering in AWS
- Modern software development lifecycle on an agile product team
Preferred Qualifications
- 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
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS CI/CD CloudFormation Computer Science Copilot CX Docker DynamoDB ECS Engineering Git GitHub Lambda LLMs NumPy Pandas Pipelines PostgreSQL Python RDBMS Scikit-learn SciPy Security
Perks/benefits: Career development Flex hours Startup environment
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