Senior Technology Services Lead

Responsibilities

• Provides leadership in defect, incident, problem, and change review meetings and release activities as applicable, developing reliable and repeatable solutions to technology issues
• Manages the stability, resiliency, reliability, and performance of a wide array of supported systems
• Manages the Point of Escalation for team members, peers, and partner teams, and shares the leadership Point of Contact for triage of high priority incidents or consulting engagements
• Mentors staff, provides technical leadership across the organization, and participates and helps with the resource interview and onboarding processes
• Directs appropriate teams to ensure alerts, monitoring, dashboards, and processes are established appropriately for new projects and initiatives
• Supports change implementations and proactively identifies potential issues resulting from the changes
• Manages vulnerability remediation, designs and implements robust patching strategy with end to end automated solutions
• Designs, deploys, and maintains databases on containers on Kubernetes / OpenShift platforms
• Implements highly resilient, secure, scalable and performant architectures in Hybrid cloud environments
• Sustains ongoing compliance to bank’s standards including Identity Access Management, Data protection and Security baselines
• Collaborates with cross‑functional teams to deliver secure, resilient, and production‑ready infrastructure platforms
• Contributes to CI/CD pipelines, infrastructure automation, and operational best practices
• Participates in Agile ceremonies and supports iterative, high‑quality software delivery

Requirements

• 5 Years of job related experience required
• Strong hands‑on experience with databases like Oracle/Exadata, PostgreSQL, CockroachDB, Redis or DB2
• Working knowledge of managing databases on containers with good understanding of container concepts, including scheduling, networking, storage, configuration, and secrets management
• Experience operating infrastructure services and database workloads in Cloud (Azure/AWS/GCP)
• Proficiency in Python working with APIs for developing and operationalizing AI‑driven applications including agent designs
• Experience working in large‑scale enterprise environments with strong requirements for security, reliability, and compliance
• Familiarity with CI/CD pipelines and DevOps practices for containerized applications
• Experience contributing within Agile frameworks (Scrum, Kanban, or SAFe)
• Strong problem‑solving skills and ability to troubleshoot complex platform issues
• Clear, concise communication with technical and non‑technical stakeholders
• Ability to work effectively across engineering, infrastructure, security, and application teams

Qualifications

• Experience operating in regulated or highly secure environments
• Exposure to observability tools (logging, metrics, tracing) for distributed and AI‑driven systems
• Experience supporting multi‑tenant platforms at scale