MetAntz
Company:
https://www.linkedin.com/company/metantz
Industries: Technology, Information and Internet
Job details:
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.
Click on Apply to know more.