Application Support Engineer

Application Support Engineer Location: Dallas, TX & Jersey hybrid Duration: 6+ Months (Possible Extension) Shift Schedule: Monday – Friday 8:00 AM to 5:00 PM Employment Type: Contract-to-Hire (CTH) The Development family is responsible for creating, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth subject matter expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and/or external clients in defining requirements and implementing solutions. The Application Support Engineering role specializes in maintaining and providing technical support for all applications that are beyond the development stage and are running in the daily operations of the firm. Works closely with development teams, infrastructure partners, and internal/external clients to escalate and resolve technical support incidents. Your Primary Responsibilities Design & Delivery Partnership: Participate in design reviews, sprint zero, and delivery planning to champion non-functional requirements (NFRs) including resiliency, observability, fault tolerance, Holiday and Special days processing, as well as disaster recovery. Major Release Management Partnership: Collaborate with Major Release Management to ensure each Risk release meets SRE standards for observability and resiliency (SLIs/SLOs, monitoring, knowledge base articles). Ensure releases are subject to required deployment validations. Monitoring, Observability & AI Enablement: Define and evolve monitoring, alerting, SLIs, and SLOs, leveraging AI/ML-driven analytics for anomaly detection, incident correlation, and early risk identification. Minimizing Application Recovery Time: Make design recommendations that will quick detection of outage conditions and allow the application to recover without manual interventions and/or create a knowledge based guidance for application support team to follow for improved application recovery times. Participate in major incident response / Root Cause analysis to drive continual systemic recovery time improvements. Automation & Self-Healing: Drive automation and intelligent tooling (including AI-assisted remediation) to reduce manual toil and improve consistency and recovery times. Operational Readiness & Risk Management: Attend and present operational readiness with application support (EAS L2) at project management meeting - raise any operational risks and concerns. Test NFRs in UAT environments to validate effectiveness and completeness of operational capabilities. Validate operational readiness prior to release with stakeholders, partner with Embedded Risk and Security teams, and proactively surface and mitigate technology and operational risks. Capacity & Performance Optimization: Lead capacity planning and performance analysis to ensure Risk platforms scale reliably under high load. Metrics & Continuous Improvement: Establish KPIs and operational metrics to demonstrate reliability improvements and operational maturity. People & Culture: Build a strong SRE culture—enhanced by AI-driven insights—across Risk Application Support and Development through mentorship and best-practice coaching; leverage approved AI tools to analyze code and collaborate on knowledge base articles, and to accelerate improvements in observability, performance, security, and maintainability. Qualifications Minimum of 8 years of related technical and management experience. Bachelor's degree preferred or equivalent experience. Cloud certifications is a plus. Talents Needed for Success Proven experience with SRE or DevOps practices, including CI/CD pipelines, infrastructure as code, and automation frameworks. Strong understanding of monitoring and observability platforms and experience designing and fine-tuning robust monitoring systems. Programming proficiency in one or more languages such as Python, Java, Go, or similar, for automation and tooling development. Familiarity with cloud platforms, containerized environments, and/or hybrid infrastructure models. Experience in financial services, capital markets, or regulated environments. Demonstrated participation in disaster recovery, performance, and resiliency testing. Knowledge of AI concepts, data platforms, messaging systems, and large-scale batch or real-time processing systems. Strong collaboration skills across technology and business teams. Hands-on experience leading and participating in incident and problem management, including root cause analysis. eTeam