Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
We are looking for12 years experienced highly skilled Senior Lead Software Engineer (QA) with Experience in Azure (Databricks, ADLS, ADF, Synapse) and/or AWS (Glue, S3, Redshift), Good in Design scalable architectures (Lakehouse). Experience in building and optimizing data pipelines using Spark, Databricks, ADF, Glue.t orchestration, Model Context Protocol, any frameworks or tools related to evaluations and ML observability. (Including and not limited to Langsmith).Advanced SQL for transformations and validations.. Expertise in dimensional modeling, Data Vault, and canonical models. Define data vision, roadmap, and governance policies. RBAC/ABAC, encryption, secrets management. Audit readiness and regulatory compliance. Audit readiness and regulatory compliance.Ensure scalability, performance tuning, and cost optimization. Deep knowledge of Azure (Databricks, ADLS, Synapse) or AWS (Glue, Redshift). Work with data engineers, QA, platform teams to ensure delivery. Support feature store design and RAG pipelines for GenAI use cases. Snowflake/Synapse/Redshift, Lake Formation, glue catalogs; portability considerations. Feature store strategy, curated ML-ready datasets, RAG data pipelines over governed KBs.Delta Lake maintenance (OPTIMIZE/VACUUM), schema evolution, time travel, multi‑hop Medallion architecture..
Qualification
We are looking for12 years experienced highly skilled Senior Lead Software Engineer (QA) with Experience in Azure (Databricks, ADLS, ADF, Synapse) and/or AWS (Glue, S3, Redshift), Good in Design scalable architectures (Lakehouse). Experience in building and optimizing data pipelines using Spark, Databricks, ADF, Glue.t orchestration, Model Context Protocol, any frameworks or tools related to evaluations and ML observability. (Including and not limited to Langsmith).Advanced SQL for transformations and validations.. Expertise in dimensional modeling, Data Vault, and canonical models. Define data vision, roadmap, and governance policies. RBAC/ABAC, encryption, secrets management. Audit readiness and regulatory compliance. Audit readiness and regulatory compliance.Ensure scalability, performance tuning, and cost optimization. Deep knowledge of Azure (Databricks, ADLS, Synapse) or AWS (Glue, Redshift). Work with data engineers, QA, platform teams to ensure delivery. Support feature store design and RAG pipelines for GenAI use cases. Snowflake/Synapse/Redshift, Lake Formation, glue catalogs; portability considerations. Feature store strategy, curated ML-ready datasets, RAG data pipelines over governed KBs.Delta Lake maintenance (OPTIMIZE/VACUUM), schema evolution, time travel, multi‑hop Medallion architecture..
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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