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Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 6, 2026. EXL scores B on the Alion truth index.

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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

Platform Engineer - 5-8 Years

· Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

· Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

· Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

· Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

· Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.

Platform Engineer - 5-8 Years

· Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

· Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

· Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

· Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

· Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.

Platform Engineer - 5-8 Years

· Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

· Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

· Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

· Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

· Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.

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