Senior Platform Engineer

Job Description

Software Engineer

Location: Charleston, WV (Remote)

Company: Agiloft

Position Overview

Engineers at Agiloft design, build, and deploy products to transform contract lifecycle management. Work with a team of entrepreneurs, engineers, data scientists, designers, and legal experts on cutting-edge innovations for a fast-growing scale-up company.

Key Achievements Built

• Global, enterprise-scale serverless platform on AWS
• Suite of LLM-powered applications with thoughtful queuing and load balancing
• API-first development culture with backend serving multiple frontend clients
  
  

Job Responsibilities

• Build and maintain enterprise software applications
• Collaborate with product managers and designers on novel solutions
• Work with AI engineers to efficiently use commercial LLM APIs
• Improve code quality, extensibility, scalability, and test coverage
• Make architecture and cloud-engineering decisions
• Develop and improve infrastructure-as-code, CI/CD pipelines, monitoring/observability tools
• Enhance internal developer tools and workflows
• Provide feedback on team quality, tech stack, and stakeholder relations
• Troubleshoot and resolve complex application stack issues
• Mentor junior team members
• Participate in incident response and disaster recovery
• Leverage AI-assisted tools for productivity
• Other duties as assigned
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Minimum 5 years professional software engineering experience
• Comfortable with Python in core application code
• Experience with serverless technology (API Gateway, Lambda, DynamoDB, or similar)
• Interest in building enterprise software with customer empathy
• Strong problem-solving, collaboration, and communication skills
• Eagerness to learn new technologies and tools
• Proficiency in AI tools (Cursor, GitHub Copilot) for coding or API integrations
• Deep understanding of:
• Version control (Git)
• Relational databases (Postgres preferred)
• Infrastructure as Code on AWS (CloudFormation, SAM)
• RESTful API design and documentation
• CI/CD tools (GitHub Actions or similar)
• Containerization (Docker, ECS)
• Enterprise-scale cloud engineering in AWS
• Modern agile SDLC
  

Preferred Qualifications

• Interest in team leadership and career growth
• Experience with LLM applications using commercial APIs
• Familiarity with Postgres query optimization and indexing
• Exposure to Python data science tools (numpy, scipy, scikit-learn, pandas)
• Experience with monitoring and observability
• Interest in application and cloud security
  
  

Additional Information

• Background checks conducted every 3 years or as needed
• Comprehensive benefits: medical, dental, vision insurance; short/long-term disability; life insurance; 401(k) with match; flexible vacation; paid parental leave; voluntary benefits (pet insurance)
• Diverse and inclusive workplace; accommodations available