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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bangalore location and sought-after platform skills create moderate candidate competition.
Platform engineering skills are transferable but data-observability emphasis prefers analytics background.
Explicit 8+ years and mandatory cloud, IaC, Kubernetes, and observability expertise tighten shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead the architecture, design, and implementation of scalable, AI-driven observability, reliability, and intelligent automation solutions for enterprise data platforms.
Collaborate cross-functionally to define observability requirements and operationalize reliability metrics to proactively detect issues and optimize platform performance and cost.
Provide technical leadership, mentorship, and drive adoption of best practices in platform engineering, automation, and AI-assisted development to improve operational excellence.
Minimum Requirements
8+ years experience in platform engineering, cloud engineering, data engineering, DevOps, or similar roles.
Strong experience with cloud platforms such as GCP or AWS, including cloud infrastructure, operations, and distributed systems.
Proficiency in Python, SQL, Bash or similar programming and scripting languages; experience with containerization (Docker, Kubernetes) and infrastructure as code tools (Terraform, CloudFormation, Ansible).
Work Experience Required: 8+ years in relevant technology roles.
Ideal Candidate Profile
Experienced in leading complex technical design and cross-functional initiatives focused on data platform observability and automation at enterprise scale.
Pragmatic engineer with hands-on expertise in cloud-native technologies, AI-driven engineering practices, and building real-time monitoring and anomaly detection systems.
Strong collaborator comfortable working with product, operations, governance, and engineering teams to deliver measurable improvements in platform reliability and developer productivity.