Client 360 Application Support Engineer (L3), Officer

Across the globe, institutional investors rely on State Street to help manage risk, respond to challenges, and drive performance and profitability. State Street is committed to fostering an environment where every employee feels valued and empowered to reach their full potential. The company offers inclusive development opportunities, flexible work-life support, and vibrant employee networks.

• B.S. degree in Computer Science, Engineering, Mathematics, Physics, or other technical course of study required; MS degree strongly preferred.
• 4-8+ years of experience in application or production support, with L3 ownership.
• Experience supporting cloud-based applications, preferably on AWS.
• Working knowledge of SQL for troubleshooting and data validation.
• Experience monitoring and troubleshooting batch jobs or data pipelines.
• Familiarity with logging, monitoring, and alerting tools.
• Exposure to Databricks, Apache Spark, or data engineering workflows.
• Familiarity with CI/CD pipelines and deployment processes.
• Scripting experience in Python, Shell for automation or diagnostics.
• Experience in Agile or DevOps environments.
• Knowledge of ITIL concepts (Incident, Problem, Change Management).

Nice to have:

• CI/CD
• Agile

Application & Production Support:

• Provide L3 application support for a production AWS + Databricks application.
• Monitor application health, batch jobs, and data pipelines.
• Own end-to-end incident resolution for high-severity production incidents (P1/P2).
• Perform incident triage, root cause analysis (RCA), and issue resolution within defined SLAs.
• Escalate complex issues to engineering teams with clear diagnostics and impact analysis.
• Partner with engineering teams to design long-term fixes, not just workarounds.
• Participate in on-call rotation and production support coverage as required.

Databricks & Data Pipeline Support:

• Monitor and support Databricks jobs, notebooks, and workflows.
• Validate successful completion of batch and scheduled jobs.
• Perform basic data validation and reconciliation using SQL, automated scripts.
• Identify data quality issues and coordinate fixes with data engineering teams.
• Support reruns and recovery procedures for failed pipelines.

AWS & Environment Support:

• Support applications running on AWS services such as S3, IAM, EC2, Glue, and CloudWatch.
• Review logs, metrics, and dashboards to identify performance or availability issues.
• Assist with environment validation after deployments or infrastructure changes.
• Follow security, access control, and change management processes.

Incident, Problem & Change Management:

• Log and track incidents, problems, and service requests in tools like ServiceNow, Jira.
• Maintain clear documentation for known issues, workarounds, and runbooks.
• Participate in post-incident reviews and help implement preventive measures, automation, and monitoring improvements.
• Support release activities with smoke testing and production readiness checks.

Continuous Improvement:

• Create and maintain L3 runbooks, operational playbooks, and troubleshooting guides.
• Identify recurring issues and propose automation or process improvements.
• Assist in improving monitoring, alerting, and operational dashboards.
• Contribute to knowledge bases.

As an Equal Opportunity Employer, all qualified applicants are considered without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by law.