The posting
Key Responsibilities
- Design, develop, enhance, and support enterprise applications in production environments.
- Provide production support, incident resolution, problem management, and application maintenance.
- Work on Data Engineering and Big Data platforms, including Spark, Hadoop, and Hive.
- Develop and maintain solutions using Python, Shell scripting, and PL/SQL.
- Implement and support DevOps and CI/CD pipelines across application and infrastructure environments.
- Work with cloud and container technologies such as AWS, Docker, Kubernetes, and Pivotal Cloud Foundry.
- Support and troubleshoot application middleware and messaging platforms, including IBM WebSphere Application Server, JBoss, IBM MQ, and Apache Tomcat.
- Monitor application and infrastructure health using Splunk, Grafana, and Prometheus.
- Apply Site Reliability Engineering (SRE) principles to improve application availability, reliability, scalability, and performance.
- Work with RAG, LLM, and Generative AI technologies and understand their application within enterprise solutions.
- Collaborate with development, infrastructure, operations, and business teams to resolve technical issues and deliver solutions.
- Participate in Incident Management, Problem Management, and Change Management processes.
- Take ownership of technical issues and projects, ensuring timely resolution and delivery.
- Identify opportunities for automation, process improvements, and increased system reliability.
- Work independently in a fast-paced environment while managing multiple priorities and time-sensitive issues.



