Senior Full Stack Engineer

About Skan.ai Skan.ai is a process intelligence platform that helps enterprises discover, analyze, and optimize how work actually happens. Using AI and computer vision, Skan captures and transforms desktop activity data into actionable business insights — powering smarter decisions at scale. We are a fast-growing, data-first company with a global customer base across BFSI, healthcare, and operations-heavy industries.

The Role We are looking for a seasoned Full Stack Engineer with 5–10 years of experience to join our engineering team. You will own features end-to-end — from database design and API development to rich React-based interfaces — with a strong emphasis on data-intensive, analytical workloads. You'll collaborate closely with product, design, and data engineering to build systems that process and visualize large volumes of behavioral and process data.

What You Will Do

• Design and build scalable full-stack features across the Skan platform — backend APIs, data pipelines, and frontend interfaces
• Develop and maintain Python-based backend services (REST APIs, async workers, data processing jobs)
• Work with PostgreSQL for transactional data and contribute to data warehouse design and ETL/ELT pipelines (Snowflake, BigQuery, Redshift)
• Build performant, accessible React UIs for dashboards, analytics views, and workflow tools
• Collaborate with data engineers on dbt models, warehouse schemas, and analytical query optimization
• Participate in architecture discussions, code reviews, and technical planning
• Mentor junior engineers and contribute to engineering best practices

Must-Have Skills

• 5–10 years of professional software engineering experience
• Strong proficiency in Python - backend APIs using FastAPI, Django, or Flask; async programming; service architecture
• Solid React experience - hooks, state management (Context, Redux), component design, TypeScript preferred
• Deep knowledge of PostgreSQL - schema design, indexing, query optimization, transactions
• Hands-on experience with Data Warehouses - Snowflake, BigQuery, or Redshift; ETL/ELT design and analytical data modeling
• Ability to own and ship full-stack features independently

Nice-to-Have

• Experience with data pipeline orchestration (Airflow, Prefect, or similar)
• Familiarity with dbt for data transformation
• Exposure to event-driven systems or streaming (Kafka, Kinesis)
• Experience building data visualization or BI-style dashboards
• Docker, Kubernetes, and CI/CD pipeline experience
• Prior work in a product-led, data-intensive SaaS environment

What Success Looks Like In the first 90 days, you will have shipped at least one significant end-to-end feature, understand the Skan data model deeply, and be a trusted contributor in engineering discussions. Within six months, you will be driving technical decisions for your domain and actively elevating the team around you.

Why Skan.ai

• Work on a genuinely differentiated product at the intersection of AI, process intelligence, and enterprise analytics
• High ownership culture - engineers here shape the product, not just execute tickets
• Collaborative, low-ego team with strong technical depth
• Competitive compensation, flexible work environment, and growth opportunities

Skan.ai is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.