Specialist App/Prod Support

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
5+ 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.
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
40
Time Type
Regular
Location:
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City, IND:KA:Bangalore / Intl Tech Park, Navigator Bldg, Whitefield Road: Intl Tech Park, Navigator Bldg:Intl Tech Park, Navigator Bldg
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Work arrangement
No