Lead Software Development Engineer (Python)

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

Why Skan AI

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

We are seeking a highly accomplished Lead Python Development Engineer to spearhead the technical execution and architectural evolution of our web applications and backend services. You will be responsible for the end-to-end delivery of complex features, ensuring that our systems remain scalable, performant, and resilient. You will serve as the primary technical authority for our backend stack, working in close coordination with Product Management and Front-end Engineering teams to deliver mission-critical solutions.

Core Responsibilities

1. Technical Execution and Architectural Oversight

• Feature Ownership: Lead the full lifecycle of feature development, from conceptual technical design and schema definition to deployment and production monitoring.
• Backend Development: Engineer high-performance, secure, and maintainable services using Python and modern frameworks (e.g., FastAPI, Django, or Flask).
• Data Strategy: Architect and optimize complex relational schemas within PostgreSQL and manage large-scale analytical workloads using StarRocks.
• Database Governance: Oversee systematic database versioning and seamless schema evolution utilizing Alembic migrations.

2. Collaboration and Integration

• Cross-Functional Synergy: Act as the primary technical liaison to the Product Team, translating business requirements into robust technical specifications and providing rigorous effort estimations.
• Front-end Alignment: Partner closely with frontend development teams to design and implement optimized API contracts, ensuring a high-performance user experience.
• Technical Communication: Articulate complex architectural decisions and trade-offs to both technical and non-technical stakeholders with clarity and precision.

3. Engineering Excellence and Mentorship

• Quality Assurance: Establish and enforce rigorous engineering standards through comprehensive code reviews, automated testing frameworks, and continuous integration protocols.
• Team Development: Foster a culture of technical excellence by mentoring engineering staff, promoting professional growth, and facilitating knowledge-sharing sessions.
• Performance Optimization: Continuously identify and resolve bottlenecks in application logic, database queries, and infrastructure configurations.

Technical Qualifications

• Professional Experience: A minimum of 8+ years in software engineering, with a proven track record of leading technical execution in a Senior or Lead capacity.
• Python Expertise: Deep mastery of Python and its asynchronous ecosystem.
• Advanced Data Systems: Extensive experience with PostgreSQL, including performance tuning, indexing strategies, and complex query optimization.
• Demonstrated proficiency with StarRocks (or equivalent OLAP databases) for high-performance analytical processing.
• Expert-level command of Alembic for managing sophisticated database migration lifecycles.
• API Architecture: Proven ability to design and scale RESTful APIs within a microservices environment.
• Infrastructure: Familiarity with containerization (Docker, Kubernetes) and modern CI/CD orchestration.