Platform/DevOps Lead

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 oversight   for 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

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Set the technical direction for DevOps and Platform Engineering — CI/CD standards,   IaC   patterns, orchestration, and observability.

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

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Guide the team on modern Databricks-native operating patterns.

Platform Operations & Reliability

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

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

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Ensure operational readiness for   y ear- e nd activities, compliance, and audit requirements.

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

Automation & Continuous Improvement

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Champion automation and   a gentic operations to reduce manual effort and improve reliability.

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

Leadership & Mentorship

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

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

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

Stakeholder & Vendor Management

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

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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):

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Y ou'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:

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

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10 +   years of overall experience in Data Engineering, Platform Engineering, or DevOps   including   2 + years in a technical lead capacity.

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

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Prior experience leading platform or DevOps teams   supporting enterprise data workloads.

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Proven experience managing vendor relationships and complex upgrade programs.

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

Preferred Qualifications:

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Familiarity with Unity   Catalog   governance and Databricks-native AI capabilities.

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

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

Competencies:

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

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Servant leadership — grows the team while removing blockers.

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

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

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

More information about NXP in India...

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