Job DescriptionWe're seeking a future team member for the role of
Application Support Manager / Senior Application Support Engineer to join our team. This role is located in Pittsburgh.
In this role, you'll make an impact in the following ways:- Provide L2/L3 production support leadership for enterprise applications across mainframe and distributed platforms. Lead, mentor, and manage a team of 20-25 application support engineers, ensuring high performance, accountability, and professional development.
- Monitor application and platform health, investigate incidents, and drive timely resolution of production issues. Perform and oversee root cause analysis for application, database, messaging, and infrastructure-related issues.
- Support and troubleshoot application integrations across mainframe, distributed, and hybrid systems. Work closely with development, infrastructure, database, SRE, and business teams to resolve incidents and improve platform stability and resilience.
- Analyze logs, application behavior, and system performance to identify issues and recommend corrective and preventive actions.
- Support database-related troubleshooting across Oracle, MongoDB, Microsoft SQL Server, and PostgreSQL environments.
- Troubleshoot and support messaging/integration platforms, including Kafka and IBM MQ.
- Drive SRE practices, including observability, monitoring, alerting, reliability engineering, automation, and continuous service improvement.
- Identify opportunities to automate manual operational tasks, including the use of AI and intelligent automation to improve efficiency, reduce risk, and enhance support processes. Participate in release support, deployment validation, capacity planning, and post-implementation monitoring.
- Contribute to operational readiness, knowledge documentation, runbooks, and continuous improvement initiatives. Provide on-call leadership and demonstrate willingness to support weekends and off-hours as business needs require.
To be successful in this role, we're seeking the following:- Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred.10-12 years of related experience required; experience in the securities or financial services industry is a plus.
- Strong experience providing production support for enterprise applications across distributed and mainframe environments. Strong hands-on experience supporting Java-based applications and mainframe-based applications.
- Proven experience in leadership and people management, including managing teams of 20-25 people in a production support or operations environment.
- Experience providing support for AI/ML applications, proactively identifying and resolving issues, automating operational tasks, conducting root cause analysis, and collaborating with engineering teams to improve system resilience, scalability, and performance.
- Demonstrated experience automating manual support or operational tasks using AI, scripting, or workflow automation tools. Solid hands-on experience with one or more enterprise databases, including Oracle, MongoDB, Microsoft SQL Server, or PostgreSQL.
- Experience supporting messaging technologies such as Kafka and IBM MQ. Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues across multiple platforms. Experience in incident management, problem management, root cause analysis, and production support processes.
- Strong verbal and written communication skills, with the ability to engage effectively with technical teams, senior leadership, and business stakeholders. Demonstrated flexibility and commitment to supporting critical systems during weekends and off-hours when necessary.
- Experience in financial services or other highly regulated enterprise environments. Familiarity with ITIL processes, service management tools, and production monitoring solutions.
- Experience with Unix/Linux environments, scripting, application performance monitoring tools, and enterprise schedulers/automation frameworks. Strong understanding of SRE principles, including monitoring, alerting, automation, reliability, availability, and performance optimization. Understanding of distributed system architecture, integration patterns, and enterprise production support models.
