Overview

Key Responsibilities

Responsibilities

• Own platform reliability practices for availability, resilience, latency, and operational efficiency.
• Drive DevOps and automation initiatives including Golden Image improvements and support automation use cases.
• Implement and maintain GitHub Actions pipelines and CI/CD reliability standards.
• Lead JFROG Helm chart automation and JFROG images/ACR migration work.
• Support microservices deployment enablement and platform/tooling upgrades.
• Own and optimize monitoring, alerting, observability, and logging stack components:
• Support health-check frameworks including Airflow health-check requirements.
• Provide troubleshooting support to Tier 1 and Tier 2 for high-complexity incidents.
• Collaborate with architecture and delivery teams on reliability and scalability patterns.
• Lead cloud infrastructure creation, maintenance, governance, and access controls.
• Drive capacity planning, DR planning/exercises, and platform best-practice documentation.
• Support cost management, role enforcement, and license management governance.
• Maintain SOP documentation for established alerts and incident patterns.

Qualifications

• 6+ years of experience in SRE, platform engineering, DevOps, or advanced production support roles.
• Strong hands-on expertise with Kubernetes, especially Azure Kubernetes Service (AKS), and cloud-native platform operations.
• Advanced experience with CI/CD engineering and GitHub Actions.
• Deep observability experience with Prometheus/Grafana/AlertManager and logging stacks.
• Strong Python automation scripting skills for reliability engineering, platform tooling, and operational toil reduction.
• End-user proficiency with AI-assisted productivity and operations tools for incident analysis, troubleshooting acceleration, and documentation support (AI/ML model development is not required).
• Familiarity with Java, React, and Spring Boot based services for production troubleshooting and stability improvements (not a feature-development role).
• Strong hands-on experience with the mandated streaming stack, including enterprise operational depth in Confluent Kafka, Confluent Cloud, and Azure Event Hub: Confluent Kafka, Confluent Cloud, Azure Event Hub, AWS-MSK, and Apache Flink.
• Proven high-severity incident leadership and post-incident reliability improvement execution.
• Postgres performance and reliability operations.
• Telecom-scale high-availability systems experience.
• Senior to Lead IC (typically 10 to 17 years)
• Location / Work Mode
• Onsite (Hyderabad / Bangalore or designated AT&T location)

Benefits

• Opportunity to define and scale platform reliability standards.
• High technical ownership and strong cross-functional influence.
• Enterprise-scale impact across observability, automation, and resilience engineering.