We are looking for a DevOps / Platform Lead to provide technical direction, mentorship, and escalation ownership across our DevOps and Platform Engineering practice.This is a technical leadership role with hands-on depth - combining architecture guidance, vendor management, and engineering oversightfor the DevOps and Platform Engineer group supporting the enterprise Data Platform, ingestion, orchestration, CI/CD, and observability layers.Leads a team of Platform and DevOps Engineers.You own the health, roadmap, and delivery of the platform practice.

Key Responsibilities:

Technical Strategy & Architecture

- Set the technical direction for DevOps and Platform Engineering - CI/CD standards,IaCpatterns, orchestration, and observability.

- Own the architecture roadmap for the ingestion layer, scheduling, and deployment automation.

- Guide the team on modern Databricks-native operating patterns.

Platform Operations & Reliability

- Serve as the single technical escalation point for DevOps and Platform incidents and change management.

- Drive problem management practices - reduce recurring incidents and champion permanent fixes over reactive support.

- Ensure operational readiness foryear-end activities, compliance, and audit requirements.

- Track platform KPIs - reliability, incident volume, deployment success rate, and cost efficiency.

Automation & Continuous Improvement

- Champion automation andagentic operations to reduce manual effort and improve reliability.

- Drive continuous improvement in ways of working, aligned with industry-standard operating maturity models.

Leadership & Mentorship

- Mentor and grow Platform and DevOps Engineers on best practices, code quality, and career growth.

- Shape team capacity and capability - hiring input, skills development, and workload planning across the Platform/DevOps group.





- Represent the DevOps / Platform practice in Data & AI leadership forums and cross-functional reviews.

Stakeholder & Vendor Management

- Partner with Data Engineering leadership to align platform capabilities with data delivery needs.

- Own vendor coordination with Databricks and adjacent platform vendors - case management, upgrade planning, and license/capacity discussions.

What Success Looks Like (First 6-12 Months):

- You'll establish the platform's CI/CD and observability standards, reduce recurring incidents through problem management, mature vendor and upgrade governance, and lift the team's automation and AI-native operating maturity.

Required Qualifications:

- Bachelor's orMaster's degree in Computer Science, Information Technology, or equivalent relevant experience.

- 10+years of overall experience in Data Engineering, Platform Engineering, or DevOpsincluding2+ years in a technical lead capacity.

- Strong hands-on backgroundin Databricks, cloud platforms, CI/CD, and Infrastructure-as-Code.

- Prior experience leading platform or DevOps teamssupporting enterprise data workloads.

- Proven experience managing vendor relationships and complex upgrade programs.

- Excellent communication and stakeholder management skills across engineering and business audiences.

Preferred Qualifications:

- Familiarity with UnityCataloggovernance and Databricks-native AI capabilities.

- Exposure to industry-standard maturity models for data and platform operations.

- Databricks Certified Data Engineer Qualified or Cloud Solutions Architect Professional certification.

Competencies:

- Ownership and accountability - end-to-end responsibility for platform health and delivery.

- Servant leadership - grows the team while removing blockers.

- Strategic thinking - balances short-term operational stability with long-term platform evolution.

- Diplomatic and clear communicator - comfortable with vendors, leadership, and engineering peers.

- Bias for automation, KPIs, and outcome-driven service delivery.

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📌 Platform/DevOps Lead (Bengaluru)
🏢 NXP Semiconductors India Private
📍 Bengaluru