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.
