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Engineering Manager – Service Development

India, Telangana · Job Posted April 11, 2026
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Job Description

This role will require you to lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments. You will manage and mentor a high-performing engineering team, champion the adoption of AI technologies, and drive automation across workflows.

Job Responsibility

  • Lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments (AWS, Azure, GCP)
  • Manage and mentor a high-performing engineering team, ensuring delivery, team performance, quality, and on-time releases
  • Lead development of enterprise-grade services that are platform agnostic and scalable to handle high volumes of data
  • Champion the adoption and integration of AI technologies—including Agentic AI, LLMs, and modern AI tools—into engineering workflows and product development
  • Drive extensive automation for process efficiencies across development, deployment, and operational workflows
  • Implement and optimize robust services for telemetry and observability for high availability, resiliency, and performance
  • Monitor, analyze, and optimize system performance
  • proactively troubleshoot and resolve issues related to data flows and telemetry
  • Collaborate closely with Product, Support, Operations, and Engineering teams to deliver enhanced reliability, user experience, and operational transparency
  • Evaluate and adopt new technologies, driving continuous improvement in pipeline scalability, observability, cloud integration, and AI-powered innovation

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related disciplines
  • 10+ years of relevant industry experience, including 2+ years in management roles
  • Demonstrated proficiency with AI technologies, including leveraging AI to drive innovation and efficiency
  • Strong programming skills (Java, Python/Go) and experience building distributed systems
  • Proven experience in product development and ownership of core platforms or user-facing features
  • Working experience with Docker, Kubernetes on cloud and on-premises
  • Ownership, accountability, and creativity in a dynamic, impact-driven engineering environment

Nice to have

  • Experience designing and scaling observability frameworks or telemetry pipelines
  • Practical experience integrating with tools/frameworks such as OpenTelemetry, Prometheus, Grafana, Datadog, Splunk
  • Excellent communication, teamwork, and leadership skills
  • Proven problem-solving skills, initiative, and a proactive engineering mindset

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