Role Overview :

The role focuses on production support, system reliability, observability, automation, and peak event readiness across complex, distributed platforms including OMS, Java-based applications.

The candidate will work closely with business, engineering, infrastructure, and external partners to ensure high availability, performance, and operational excellence, especially during high-traffic sale events.

Technology Stack :

Application & Programming :

- Java, Spring Boot

- IBM Sterling OMS

- Python, Shell Scripting

Databases :

- DB2, MySQL

- NoSQL : Firestore, BigQuery

Monitoring & Observability :

- Splunk

- Dynatrace

- SolarWinds

- Grafana

Infrastructure :

- Windows

- Red Hat Enterprise Linux (RHEL)

Key Responsibilities (Support Role) :

Production Support & Reliability :

- Resolve production incidents within defined SLAs, ensuring minimal business impact.

- Provide L2/L3 support for OMS and integrated systems.

- Support BAU operations and major sale events with proactive monitoring and rapid issue resolution.

Observability & Monitoring :

- Design, create, and continuously improve alerts and dashboards for end-to-end system visibility.

- Analyze logs, metrics, and traces to identify root causes and prevent recurring issues.

Automation & Utilities :

- Automate manual operational tasks to reduce toil and speed up incident resolution.

- Build utilities and scripts to support BAU needs, such as :

1. Order creation using curl/JMeter scripts

2. Order status and fulfillment updates

3. Transaction log (TLOG) validation

4. End-to-end system and data validation

System Optimization :

- Perform infrastructure and application-level optimizations to improve performance, stability, and scalability.

Required Capabilities & Skills :

Technical Skills :

- Strong debugging skills across Java, Spring Boot, IBM Sterling OMS, and integrated external systems (e.g., Yantriks, Listrak, payment gateways).

- Hands-on experience with SQL (DB2, MySQL) and NoSQL databases (Firestore, BigQuery).

- Proficiency in Java, Python, and shell scripting for utilities and automation.

- Experience with monitoring and observability tools (Splunk, Dynatrace, SolarWinds, Grafana).

Analytical & Problem-Solving :

- Strong analytical skills to identify root causes across distributed systems and multiple environments.

- Ability to troubleshoot complex, end-to-end business and technical issues.

Domain Knowledge :

- Good understanding of Retail domain, especially supply chain, order management, and fulfillment workflows.

Mindset & Collaboration :

- Strong learning mindset to quickly adapt to new tools and technologies.

- Ability to work effectively with cross-functional teams and external partners.