Youll work at the intersection of engineering, problem-solving, and customer impact. Youll embed with enterprise clients, understand real-world problems, and design and implement solutions using the Co. platform.

This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

- 1+ years of hands-on software engineering experience, ideally in SaaS, enterprise tech, consulting, or platform-based engineering

- Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)

- Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly

- Experience working on API integrations, backend services, data pipelines, or workflow-based systems

- Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues

- Strong communication skills and proven ability to collaborate with product, engineering, and customer teams

- Willingness to travel frequently to global client sites for deployments and solution delivery

- B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)

- Mandatory (Company) - Product Company only

- B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.

- > 1 years of professional experience.

- Proficiency in at least one programming language : Python, Java, JavaScript, or TypeScript.

- Strong foundation in data structures, algorithms, and system design.

- Excellent analytical and problem-solving skills.

- Strong communication and ability to work collaboratively.

- Willingness to travel frequently to client sites across the globe.

Qualifications - Preferred :

- Exposure to data integration, APIs, cloud services, or workflow tools.

- Experience with React / frontend frameworks or low-code platforms.

- Familiarity with AI/ML concepts or GenAI tools.

- Prior internships in SaaS, enterprise tech, or consulting environments.