Job Responsibilities
Key Responsibilities:
Provide Level 2 or Level 3 support for business critical applications, ensuring high availability and performance.
Investigate and resolve application issues, bugs, and performance bottlenecks.
Develop and use AI tools (e.g. predictive analytics, anomaly detection, intelligent monitoring) to proactively identify and resolve issues.
Performing application recovery, application verification, and monitoring.
Perform non-functional testing, identify break points, securities vulnerabilities, and application anomalies.
Monitor application health and performance using appropriate tools.
Automate routine support tasks using scripting (e.g. Python, PowerShell) and AI-enhanced solutions.
Collaborate with engineering, infrastructure, and business teams to implement fixes and enhancements.
Maintain documentation for support procedures, known issues, and resolutions.
Develop and enhance in-house built observability platform using Elastic, Logstash, and Kibana.
Ensure compliance for all internal controls and standard operating procedures.
This will involve fixing vulnerabilities, extracting evidence for audits, and maintaining system hygiene.
Job Requirements
Qualifications:
Bachelors degree in Computer Science or Engineering from a reputable university or equivalent experience.
Candidate with 3-5 years of experience in software development, system analysis, or application support roles.
Proficiency in Java and/or scripting (SQL, Python, Shell).
Understanding of RESTful APIs, microservices, and integration patterns.
Hands-on knowledge in Linux, Windows operating system based application support and maintenance.
Good verbal and written English communication skills.
Operations and Production-first mindset.
Ability to work independently and in a team-oriented environment.
Preferred Skills:
Understanding of financial instruments and post-trade operations.
Experience with monitoring tools (e.g. Splunk, AppDynamics, Dynatrace).
Knowledge of CI/CD pipelines and DevOps practices.
Experience operating cloud platforms and containerized environments with demonstrated competency to deploy applications, configure, perform monitoring and troubleshooting in these environments.
Experience in supporting the enhancement for open-source dashboards and visualization tools such as Elastic, LogStash, and Kibana.