Senior AppProd Support (Tier 3 SRE for event-driven ecosystems)

Key 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:

Prometheus AlertManager Grafana Azure Monitor Thanos OpenSearch FluentBit and related tools.

- 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.

Required Qualifications / Must-Have Skills

- 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.

- Experience in governance controls: access management role enforcement and separation of duties.

- Proven high-severity incident leadership and post-incident reliability improvement execution.

Good-to-Have / Nice-to-Have

- Postgres performance and reliability operations.

- Telecom-scale high-availability systems experience.

Experience Level

Senior to Lead IC (typically 10 to 17 years)

Location / Work Mode

Onsite (Hyderabad / Bangalore or designated AT&T location)

What We Offer

- 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.

Weekly Hours:

Time Type:

Location:

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