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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