Senior Engineer - Gen AI

WhatYoullDo

• Collaborate with client facing teams to understand solution context and contribute in technical requirement gathering and analysis
• Design and implement technical features leveraging best practices for technology stack being used
• Work with technical architects on the team to validate design and implementation approach
• Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
• Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths
• Uses bug tracking, code review, version control and other tools to organize and deliver work
• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies
• Consistently contribute in researching & evaluating latest technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions

WhatYoullBring

• 2+ years of relevant hands-on experience
• CS foundation is must
• Strong command over distributed computing framework like Spark (preferred) or others.
• Strong analytical / problems solving
• Ability to quickly learn and become hands on new technology and be innovative in creating solutions
• Strong in at least one of the Programming languages - Python or Java, Scala, etc. and Programming basics - Data Structures
• Hands on experience in building modules for data management solutions such as data pipeline, orchestration, ingestion patterns (batch, real time)
• Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP
• Good understanding of RDBMS, with some exp on ETL is preferred

Additional Skills:

• Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform
• AWS Solutions Architect certification with understanding of broader AWS stack
• Knowledge of data modeling and data warehouse concepts
• Willingness to travel to other global offices as needed to work with client or other internal project teams.