Who you are

• 8+ years of experience in software engineering
• 5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
• 5+ years with a Relational DB (PostgreSQL preferred)
• Experience building and operating SaaS products in cloud environments (AWS preferred)
• Familiarity with the tradeoffs and architecture of modern distributed systems
• Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
• Hands-on experience with containerization technologies (Docker, Kubernetes)
• Familiarity with Elasticsearch
• Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
• Proven success working within fast-paced, agile environments and cross-functional teams
• Strong communication skills, with the ability to collaborate with both technical and non-technical partners
• Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
• Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

What the job involves

• Join the Workday AI organization, where you’ll be building and supporting state-of-the-art AI capabilities that power Workday’s product suite. You’ll be working with a cross-functional team that ships frequently, iterates rapidly, and is supporting millions of users of Workday’s products
• Evisort Engineering is growing! As a Senior Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management platform
• You’ll work closely with engineers, product managers, data scientists, and designers to help deliver scalable, user-centric solutions that transform how legal and business teams manage their contracts
• Your technical contributions and team-first mindset will play a key role in delivering high-impact products that scale our AI capabilities and help global organizations simplify complex business processes
• Collaborate with engineering, data science, product, and design teams to build and evolve our vision, strategy, and roadmap
• Participate in a supportive, iterative team culture that values curiosity, learning, and strong engineering practices
• Contribute to the growth and success of your teammates through knowledge sharing and mentorship
• Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”)