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 • Set the technical direction for DevOps and Platform Engineering — CI/CD standards, IaC patterns, 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 for year-end activities, compliance, and audit requirements. • Track platform KPIs — reliability, incident volume, deployment success rate, and cost efficiency.Automation & Continuous Improvement • Champion automation and agentic 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 or Master's degree in Computer Science, Information Technology, or equivalent relevant experience. • 10+ years of overall experience in Data Engineering, Platform Engineering, or DevOps including 2+ years in a technical lead capacity. • Strong hands-on background in Databricks, cloud platforms, CI/CD, and Infrastructure-as-Code. • Prior experience leading platform or DevOps teams supporting 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 Unity Catalog governance and Databricks-native AI capabilities. • Exposure to industry-standard maturity models for data and platform operations. • Databricks Certified Data Engineer Professional 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. More information about NXP in India... #LI-29f4