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Salary
≈ $22k – $45k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Sep 3, 2026. LTM scores B on the Alion truth index.

Overview
Company
Impact
Profile match

LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.

Must Have

Strong hands-on experience with Microsoft Azure services.

Expertise in Azure DevOps, including CI/CD pipelines, release management, and automation.

Experience with Docker for containerization and image management.

Strong knowledge of Kubernetes (AKS), including deployments, scaling, and configuration management.

Experience with Azure Container Registry (ACR) for container image management.

Hands-on experience with Azure Key Vault for secrets and certificate management.

Experience with Azure Blob Storage for cloud data storage and integration.

Proficiency in Python/PySpark for data transformation and optimization.

Strong SQL/SQL Server skills, including complex queries and performance tuning.

Experience in developing and integrating REST APIs.

Strong understanding of CI/CD practices, automated deployment, and DevOps methodologies.

Experience with automated testing (unit, integration, and end-to-end testing).

Hands-on experience with Git, branching strategies, PR reviews, and version control.

Knowledge of security best practices, RBAC, secrets management, and image scanning.

Experience building and supporting enterprise-scale data engineering solutions.

Experience in production support, monitoring, troubleshooting, and reliability engineering.

Good to Have

Experience with Azure Databricks, including notebooks, jobs, clusters, and workflow orchestration.

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