About Company:

Keka is one of the fastest growing SaaS products in India and has quickly grown to a leader position in its segment in shortest time. With happy customers who refer Keka to others, Keka is on its way to becoming the market category leader in India. We are on a mission to provide best employee experience for companies across the globe and we are looking for awesome folks to join our team.

Skills Required:

  • 4+ years of strong programming experience on .Net / .Net core applications
  • Should be proficient with c#, ASP .NET MVC / .NET core, WEB API and Angular (2 and above) 
  • Should have experience on building azure applications
  • Hands on experience on Html, CSS, JavaScript, and Bootstrap 
  • Proficient with SQL server (Stored procedures and UDF) processing larger volumes of data
  • Good knowledge on version control system and workflow (GIT) 
  • Hands on experience on managing NoSQL data
  • Familiarity with test driven development, continuous integration / Continuous delivery (CI/ CD) concepts
  • Experience with modern architecture 


  • Provide technical leadership and functional help working closely with team members
  • Design, implement and maintain application within all phases of the software development life cycle (SDLC) on Microsoft azure 
  • Independently carry out the activities without much of guidance 
  • Create, understand, and validate design and estimates and be able to justify them
  • Applies knowledge of principles and techniques to solve technical problems.
  • Works closely with other functions to understand customer needs and to develop product roadmaps
  • Strong troubleshooting and analytical skills and detail oriented
  • Comprehensive understanding of OOPS concepts, data structures, algorithms and product development techniques and theories 
  • Should be able to design schema for enterprise level applications
  • Should be able to apply design patterns
  • Should be open to face new challenges and learn new technologies
  • Experience with debugging, performance profiling and optimization