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Position Summary: We are expanding our Platform Engineering capability to build, secure, and automate the enterprise Data Platform on cloud and Databricks. This role owns the underlying infrastructure, ingestion frameworks, CI/CD pipelines, orchestration, and observability that enable Data Engineers and Analytics teams to operate at scale. The ideal candidate combines strong platform engineering fundamentals with hands-on DevOps skills across data replication, job scheduling, deployment automation, and cloud operations. Key Responsibilities: Infrastructure & Platform Engineering: Deploy and maintain Databricks workspaces and cloud infrastructure using Infrastructure-as-Code. Manage platform upgrades, patching, new flow setup, and environment refresh support. Support enterprise data replication (HVR) and file-based ingestion patterns from operational systems into the data platform. Orchestration & Job Scheduling: Provide monitoring, recovery, and operational support for enterprise job scheduling and orchestration. Configure job dependencies and coordinate with source teams on long-running workloads. CI/CD & Deployment Automation: Design and maintain GitLab CI/CD pipelines for data and platform projects with automated deployment workflows. Standardize deployment strategies using reusable templates and Databricks-native deployment tooling. Implement branching strategies, code review policies, and environment promotion rules. Support the Change Request (CR) deployment lifecycle, including validation and ticket closure. Monitoring, Reliability & Support: Configure monitoring, alerting, and logging to ensure platform stability. Serve as an escalation point for platform-related incidents and vendor coordination. Support year-end activities and compliance reporting requirements. What Success Looks Like (First 6–12 Months): In your first 6–12 months, you'll stabilize CI/CD and monitoring for key platform flows, automate recurring operational tasks, and streamline the change-request and deployment lifecycle. Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience. 6+ years of industry experience in Data Engineering, Cloud Infrastructure, or DevOps. Hands-on experience with CI/CD tooling (GitLab preferred) — pipeline authoring, release management, and secrets management. Strong grounding in cloud platforms (AWS preferred) for data workloads. Working knowledge of Databricks platform administration. Experience with monitoring and observability tools, proactive alerting, and incident triage. Proficient in Python and Bash/Shell scripting for automation. Preferred Qualifications: Experience with enterprise data replication tools (e.g. HVR). Advanced Infrastructure-as-Code skills. Familiarity with enterprise job orchestration platforms (e.g. Autopilot). Exposure to Databricks Serverless Compute and Workflow orchestration. Cloud Solutions Architect or Databricks certifications are a plus. Competencies: Reliability-first mindset — focus on stability, automation, and self-healing systems. Strong sense of ownership across the platform lifecycle — build, run, and evolve. Effective vendor coordination and cross-team collaboration. Clear documentation and knowledge-sharing habits. More information about NXP in India... #LI-29f4
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
