Platform Engineer

Location: Hyderabad, India

Department: Z- S&P SPGI ES Tech

Experience: 6+

• • Administer and support enterprise SaaS-based analytics platforms in a large-scale organizational environment.
  • Configure and maintain platform settings, users, access, data sources, integrations, and analytics capabilities.
  • Monitor platform health, availability, data quality, and integration status.
  • Troubleshoot platform, data, configuration, and integration-related issues.
  • Establish operational procedures and best practices for ongoing platform administration.
  • Take ownership of an existing platform and quickly develop an understanding of its architecture, configuration, integrations, and operational dependencies.

• • Work with Git and Azure DevOps data models to understand engineering and software delivery data.
  • Configure and maintain integrations that ingest engineering and DevOps data into enterprise analytics platforms.
  • Understand repository, commit, pull request, branch, build, release, work item, and related engineering data structures.
  • Validate data ingestion, transformation, mapping, and availability within the analytics platform.
  • Troubleshoot data discrepancies and integration failures across source systems and the analytics platform.

• • Design, implement, and maintain API-based integrations between enterprise SaaS platforms and internal systems.
  • Work with REST APIs and associated authentication mechanisms to retrieve, exchange, and manage platform data.
  • Develop scripts or utilities to automate data extraction, validation, platform administration, and operational activities.
  • Monitor API integrations and troubleshoot failures, authentication issues, data mapping problems, and connectivity issues.
  • Collaborate with engineering teams to understand source-system changes and their impact on downstream analytics.

• • Develop and execute SQL queries for data validation, troubleshooting, reconciliation, and analysis.
  • Investigate data quality issues and identify discrepancies between source systems and analytics platforms.
  • Validate data completeness, accuracy, consistency, and timeliness.
  • Support reporting and analytics teams by ensuring reliable underlying platform data.
  • Develop queries and validation mechanisms to support platform monitoring and operational reporting.

• • Take ownership of an existing platform with limited, incomplete, or undocumented operational knowledge.
  • Reverse-engineer platform configurations, integrations, data flows, dependencies, and operational processes.
  • Assess the existing environment and identify gaps in documentation, governance, monitoring, and support processes.
  • Create and maintain comprehensive technical and operational documentation.
  • Establish knowledge-transfer and support procedures to ensure sustainable platform ownership.
  • Identify opportunities to improve platform reliability, automation, maintainability, and operational efficiency.

• • Collaborate with Engineering, DevOps, Data, Security, and business stakeholders to understand platform requirements and priorities.
  • Work with source-system owners to resolve data and integration issues.
  • Communicate platform health, issues, risks, dependencies, and planned changes to relevant stakeholders.
  • Support enterprise initiatives involving engineering analytics, software delivery metrics, and platform modernization.

• • 5+ years of experience in Platform Engineering, SaaS Platform Administration, Application Administration, Data Engineering, or a related technical role.
  • Strong experience administering enterprise SaaS analytics platforms.
  • Hands-on experience working with Git and Azure DevOps data models.
  • Strong understanding of engineering and DevOps data and how it is captured, structured, and consumed for analytics.
  • Hands-on experience with API integration, preferably REST APIs.
  • Strong SQL skills for data analysis, validation, reconciliation, and troubleshooting.
  • Experience integrating enterprise applications and SaaS platforms with internal and external systems.
  • Demonstrated experience taking ownership of an existing, undocumented or poorly documented platform and establishing operational knowledge and documentation.
  • Strong troubleshooting and problem-solving skills across application, data, API, and integration layers.
  • Ability to work independently and take ownership of platform operations and technical issues.
  • Strong communication skills and ability to work with technical and non-technical stakeholders.

• • Hands-on experience with BlueOptima or Bloomfilter.
  • Exposure to Software Engineering Intelligence (SEI) or engineering productivity analytics platforms.
  • Experience with process mining and process analytics.
  • Experience administering enterprise SSO integrations.
  • Experience with SCIM-based user provisioning and lifecycle management.
  • Experience with enterprise access administration, RBAC, and user entitlement management.
  • Exposure to engineering productivity metrics and software delivery analytics.
  • Experience working with large-scale enterprise DevOps environments.