Application Support Engineering - SRE

DTCC • Coppell, TX

1d • Hybrid

About The Position

The Application Support Engineer (SRE) helps ensure the availability, reliability, and performance of mission-critical applications supporting DTCC’s Common Data Transfer Services (CDTS) platform. The role combines hands-on application production support with Site Reliability Engineering principles, including troubleshooting production issues, improving monitoring and observability, automating operational tasks, and supporting application modernization across cloud and container platforms. The engineer works closely with Application Development, Infrastructure, and global Operations teams to reduce operational risk and deliver stable, resilient services.

The role supports applications and services across AWS, OpenShift, and containerized environments. It includes collaboration with globally distributed teams and participation in a rotating shift and 24x7 support model. DTCC describes its work environment as a flexible/hybrid model with three days onsite and two days remote.

Requirements

• Bachelor’s degree or equivalent experience.
• At least 4 years of experience in Application Support, Production Support, Site Reliability Engineering, DevOps, or related disciplines.
• Hands-on experience supporting enterprise applications in complex, business-critical production environments.
• Strong troubleshooting and log-analysis skills across Java applications, Linux/Unix operating systems, and distributed platforms.
• Working knowledge of SQL for data analysis, production investigation, and issue resolution.
• Experience with monitoring and observability tools such as Splunk, Grafana, Datadog, or similar platforms.
• Experience supporting AWS-based applications and cloud services.
• Familiarity with OpenShift, Kubernetes, Docker, or other container and orchestration technologies.
• Exposure to messaging and event-streaming technologies such as Kafka.
• Experience using ServiceNow or similar IT service management tools for Incident, Problem, and Change Management.
• Understanding of SRE principles, including reliability, observability, automation, incident prevention, and continuous improvement.
• Exposure to scripting or automation using Python, Shell, Bash, or a similar language.
• Strong analytical, communication, ownership, and problem-solving skills.
• Ability to collaborate effectively across Application Development, Infrastructure, Operations, and geographically distributed teams.
• Ability to work effectively in high-pressure production environments and manage multiple priorities.

Nice To Haves

• Experience supporting high-volume transaction-processing applications or distributed systems.
• Familiarity with AutoSys or other enterprise job-scheduling platforms.
• Exposure to CI/CD pipelines, DevOps practices, and automated deployment processes.
• Experience supporting Kafka-based applications or event-driven architectures.
• Exposure to mainframe environments or application-modernization initiatives.
• Understanding of security fundamentals, including certificates, credentials, access management, and operational controls.
• Experience within Financial Services, Capital Markets, FinTech, or another highly regulated industry.

Responsibilities

• Support mission-critical production applications, ensuring availability, stability, performance, and operational readiness.
• Monitor application and platform health, analyze alerts, and proactively identify reliability risks.
• Troubleshoot production issues across Java applications, SQL databases, Linux/Unix environments, messaging platforms, and distributed systems.
• Participate in incident response, root-cause analysis, and problem management, and help implement corrective actions to prevent recurrence.
• Coordinate issue resolution and service improvements among Application Development, Infrastructure, and Production Support teams.
• Support application releases, deployments, upgrades, change activities, and production validation.
• Improve monitoring, alerting, dashboards, and observability using tools such as Splunk, Grafana, or Datadog.
• Automate recurring operational processes to reduce manual effort, improve recovery, and minimize operational toil.
• Develop and maintain runbooks, support procedures, knowledge articles, and troubleshooting documentation.
• Support disaster recovery exercises, resiliency testing, operational controls, and audit-readiness activities.
• Support applications and services across AWS, OpenShift, and containerized environments.
• Collaborate with globally distributed teams and participate in a rotating shift and 24x7 support model.

Benefits

• Competitive compensation, including base pay and annual incentive.
• Comprehensive health and life insurance and well-being benefits, based on location.
• Pension and retirement benefits.
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level