Description

Must have 8+ years applied experience with Java and some Python and Bash scripting

Must have worked on container technologies like Kubernetes

Must have Expertise in Spring and Spring Boot.

Must have worked on at least one messaging infrastructure like Kafka

Must be Proficient in Relational Database like Postgres/Oracle

Must have in depth knowledge on SQL.

Expert in maintaining and troubleshooting Incidents in production in an enterprise environment

Exposure to cloud technologies especially hands-on with AWS Glue, S3,Lambda,EKS etc .

Best fit if Person has Data Engineering Background especially used Apache Spark.

Experience in Splunk and analysing Splunk Logs.

Exposure to regression testing and TDD, JUnit, Mockito, Cucumber

Experience in using Github copilot for spec driven dev

Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security

Experience in Spark and Airflow jobs dev and maintenance

Good to have knowledge on NOSQL Database like DynamoDB

High level brief about the project:

L2/L3 Production Support and BAU Support for PTR application
L2 - Triaging and Problem Management, User Education, Health Checks, etc..
L3 – Ad-hoc report Generation, Data Extracts, Bug Fixes, Market/Regulatory mandated Enhancements, TLM mandated upgrades & changes, FARM finding fixes (vulnerability fix, version/patch upgrades etc.), AO Comms ( Audit requests, Recertifications, Access requests etc.), SRE Infra Support etc.

Key Skills

Education

Any Graduate