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    Job · 12535064

    AI

    Senior App/Prod Support (Tier 3 SRE for event-driven ecosystems)

    AT&T Inc, C/o Radancy · Bengaluru · onsite · Posted 64d ago

    Not disclosed10–18 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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.

    Sourced from foundit

    Skills

    TerraformConfluent KafkasreAksMicrosoft AzureLinuxCi/Cd

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