Senior App/Prod Support (SRE, Kafka, K8s, Azure Resource Management)

- 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.

- 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.

- Postgres performance and reliability operations.

- Telecom-scale high-availability systems experience.

Senior to Lead IC (typically 10 to 17 years)

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

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.