LCS Support Analyst

Responsibilities • Supports Legal and Compliance Platform applications and focuses on Big Data platform and data SRE. • Understands the production systems and improves the production delivery with good planning, management and execution. • Driving and motivating production support team in Root Cause identification, preventive measures and tracking to implementation. • Knows the business needs and operational urgency and able to prioritize the recovery and provides interim/ permanent resolution. • Plays the Subject Matter Expert role for LCS applications • Liaise with Delivery, Development, Infra, Network and vendor teams on support matters – change, automation, performance & upgrades/migration. • Review and inspect work products/deliverables by Delivery & Development teams & vendors/service providers. • Manage the production infrastructure and conduct regular reviews of system performance for capacity planning, housekeeping and identification of system improvements. • Perform daily health check and monitoring of production systems to ensure SLA is met. • Develop dashboards and processes to automate tasks and reduce toils. • Adhere to Incident,Problem and change management processes all the times. • Proper record keeping and closure of Incident tickets without breaching SLAs. • Willing to do on-call and at times working on shifts. Requirements • Education – A Bachelor’s or higher degree; Computer Science related discipline or equivalent. • Years of Experience: 7 to 15 Years of total IT experience, including Application and/or Big Data Support. • At least 3-5 years of application Development experience will be preferred. • Ability to Multi-task, especially during critical incidents. • Good team player • Hands-on experience in incident, problem and change management. • Possess excellent verbal and written communication skills. • Must have knowledge and experience on supporting banking Applications. • Must have knowledge and experience of scripting in Windows, Linux/Unix. • Must have worked on at least one or more relational databases such as MariaDB, Oracle, SQL server. Must have knowledge of scheduling software such as Control-M or Tivoli/TWS. • Familiarity with Spark processing, Airflow, and DBS big data platform (Job Server, Lumen etc) will be advantageous. • Must have knowledge and experience on DevOps tools like Git, Bitbucket, Jenkins, Jira. • Must have knowledge and experience in APM tools like AppDynamics, Graylog, Prometheus and Grafana. • Preferred to have experience on AWS and PCF. • Good to have experience in software development using Actimize, Java, Python, Spring Boot, Angular. • Good to have Scrum/Agile leadership/adoption experience • Application Support experience on Financial Crime Domain will be an added advantage