Application Support Engineering Associate

About the company

DTCC

Financial services · 5,001 to 10,000 employees

What you'll do

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
• Monitor application and platform health, proactively identifying and resolving reliability risks.
• Lead incident response, troubleshooting, and root cause analysis (RCA) activities for critical production issues.
• Drive preventative actions and service improvements to reduce recurring incidents and improve system stability.
• Assess business impact and coordinate resolution efforts across technology and business teams.
• Ensure application availability, performance, and resiliency across production environments.
• Execute application recovery, failover, restart, and availability management procedures.
• Support critical processing schedules and operational commitments.
• Maintain and update support runbooks, knowledge articles, SOPs, and troubleshooting guides.
• Ensure documentation remains current and audit-ready.
• Establish escalation paths and SME contact information.
• Support application releases, vendor upgrades, and production deployments.
• Validate implementation readiness and ensure successful deployment outcomes.
• Partner with development teams to improve release quality and operational readiness.
• Execute Disaster Recovery (DR) procedures during planned tests and unplanned events.
• Maintain DR scripts and evidence required for BCM and audit compliance.
• Participate in resilience and recovery exercises.
• Identify and implement automation opportunities to reduce manual effort and improve operational efficiency.
• Enhance monitoring, observability, alerting, and support tooling.
• Drive continuous improvement initiatives using SRE and operational best practices.
• Execute and support disaster recovery (DR) testing, recovery procedures, and resilience exercises.
• Maintain recovery documentation, scripts, and audit evidence required for business continuity and regulatory compliance.
• Partner with Application Development, Infrastructure, Database, Cloud, Security, and Product teams to ensure service reliability.
• Serve as a key stakeholder during major incidents, change events, and operational reviews.
• Build strong relationships across global teams to drive operational excellence and service improvements.
• Support audits, control testing, and evidence collection activities.
• Ensure operational processes align with security, risk, and compliance requirements.
• Maintain strong control practices that support DTCC's operational resilience objectives. Collaboration & Stakeholder Management
• Minimum of 4 years of related experience
• Bachelor's degree preferred or equivalent experience
• Java/J2EE
• Oracle, SQL, DB2
• IBM MQ, Kafka
• Splunk, Grafana, AutoSys
• ServiceNow and ITIL processes
• Linux/Unix
• AWS or cloud-based environments
• Strong understanding of Site Reliability Engineering (SRE) principles, including reliability, observability, automation, and incident prevention.
• Experience supporting distributed systems and enterprise-scale applications.
• Experience with AWS or cloud-based environments.
• Understanding of messaging systems, middleware, networking, or integration platforms (IBM MQ, Kafka, IIB, or similar).
• Exposure to containers and orchestration technologies such as Kubernetes, Docker, and OpenShift.
• Scripting or programming experience using Python or similar languages.
• Knowledge of financial services, securities processing, or capital markets environments.
• Strong problem-solving skills with a focus on operational excellence, automation, and continuous improvement.
• Exposure to mainframe environments, including batch processing, job monitoring, and JCL.
• Experience supporting Kafka-based applications and event-driven architectures.
• Exposure to AI-driven automation or operational efficiency initiatives in production support environments.
• Understanding of enterprise integration and distributed processing platforms.

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