Technology Support Director- Digital Enablement Production Management

JPMorganChase; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health insurance

Job summary

JPMorgan Chase seeks a Technology Support Director to lead production management for Payments Technology. You will drive reliability, automation, and observability across full stack services in a scalable, compliant global environment.

You will oversee incident response, on-call governance, and executive reporting while partnering with security, product, and engineering leaders to ensure optimal performance and resilience.

Qualifications

• Experience leading global production environments and reliability initiatives.
• Proven AI in production with validation and governance.
• Strong incident leadership and executive communication.
• AWS, IAM, cloud security and compliance knowledge.

Responsibilities

• Leads Production Management Engineering team with on-call norms.
• Owns service availability, reliability targets, and incident response.
• Defines reliability roadmap including automation and observability.
• Oversees production/UAT environments and monitors KPIs.
• Drives governance forums and executive reporting.

Skills

AWS

IAM

SRE

AI in prod

DevOps

Python/Java

Linux

Tools

Splunk

Grafana

Dynatrace

ServiceNow

CloudFormation

Job description

Job Description

Join us in a pivotal role where your deep expertise leads operational excellence in technology support, enhancing system stability and performance across full stack technologies.

As a Technology Support Director at JPMorgan Chase within the Commercial & Investment Bank's Payments Technology team, you will lead teams ensuring the operational stability, availability, and performance of our production services. Leverage your deep expertise and industry knowledge to set the strategic direction, influence the organization, and maintain and enhance all internally and externally developed systems, ensuring a seamless user experience, and fostering a culture of continuous improvement.

Job Responsibilities

• Leads, coach, and develop a high-performing Production Management Engineering team in Bangalore (hiring, performance management, career development, succession planning). Establishes clear team operating rhythms (shift/on-call expectations where applicable), decision rights, escalation paths, and accountability. Build a culture of operational excellence: documentation discipline, continuous improvement, and rigorous follow-through on actions.
• Drives effective stakeholder management across engineering, product, security, infrastructure, and business teams; manage competing priorities and align execution to organizational goals. Owns service availability and reliability targets (e.g., 99.999% where applicable) and define service tiers/criticality for the platform.
• Establishes and drives a reliability engineering roadmap: automation/self-healing, reduced toil, improved observability, and improved recoverability. Set production standards for monitoring, alerting, logging, runbooks, and production readiness gates for onboarding new apps/services.
• Oversees end-to-end management of production and UAT environments, ensuring availability, resiliency, performance, and security across application and infrastructure layers. Establish and monitor KPIs for production systems (availability, latency, MTTR, incident rates, change success rate, capacity/utilization, and control/compliance evidence health), using SLI/SLO frameworks to proactively prevent customer impact.
• Acts as escalation leader for Sev1/Sev2 incidents and high-risk production events; ensure rapid mobilization across global teams. Drive high-quality root cause analysis and corrective actions with measurable outcomes and verified closure.
• Leads governance forums (service health reviews, incident/problem reviews, change quality, operational risk) and provide executive-level reporting. Ensures processes and solutions adhere to regulatory requirements and internal policies, maintaining robust compliance and security standards (including IAM lifecycle controls).
• Partners with application and platform engineering leadership to improve architecture resiliency, reduce blast radius, and remove single points of failure. Evaluate cross-LOB impact of platform changes and data/process initiatives; ensure operational readiness and safe delivery. Sponsor modernization of tooling and operational analytics to improve MTTR and prevent recurrence.
• Champions automation and DevOps practices (CI/CD enablement, infrastructure-as-code, standardized release/run pipelines) to streamline operations and reduce manual intervention and toil. Stay abreast of industry trends and emerging technologies in SRE/production operations, IAM, and cloud infrastructure, recommending enhancements to production management practices. Own DR/SR/HA strategy, testing cadence, evidence capture, and outcomes; ensure documentation is current and executable. Proactively manage capacity, performance, and dependency risks through forecasting, testing, and engineered action plans.
• Leads AWS-based resiliency design and execution where applicable (multi-AZ/multi-region patterns, cloud-native scaling and recovery approaches), partnering with security to ensure cloud security best practices and risk management are embedded.
• Establishes governance standards for AI-assisted workflows used in incident/problem/change processes (including documentation and trend analysis), ensuring traceability/auditability and alignment to resiliency and security expectations.
• Sets reuse-first expectations for enterprise-authorized AI adoption within the work environment across support operations to accelerate incident insights and operational reporting, with human-in-the-loop validation and appropriate handling of sensitive data.

Required Qualifications, Capabilities, And Skills

• 7+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services, including leadership accountability for global production environments and reliability transformation initiatives, with demonstrated delivery in highly regulated environments and on cloud (AWS) and IAM-critical platforms.
• Demonstrated experience leading safe use of enterprise-authorized AI capabilities within the work environment within production support workflows, including validation practices and awareness of data sensitivity.
• Ability to define review/approval and escalation expectations for AI-assisted recommendations while maintaining operational, security, and auditability outcomes.
• Executive-grade written and verbal communication; calm, decisive leadership during major incidents. Demonstrated ability to lead large-scale, complex production environments in a fast-paced organization; ability to drive strategic initiatives and manage competing priorities effectively.
• Strong collaboration skills to work with technical experts, key stakeholders, and team members to resolve complex problems.
• Strong understanding of Linux-based platforms, web/app architectures, and distributed system reliability patterns. Expertise in observability practices and tools (logs/metrics/traces, alert design, dashboards; e.g., Splunk/Geneos/Dynatrace/Grafana/ServiceNow), including configuration/integration and metric analysis across application and infrastructure layers.
• Proven knowledge of site reliability culture and principles, including use of SLIs/SLOs to drive proactive operations and reliability improvements. Extensive experience with AWS architecture and services (e.g., EC2, IAM, S3, Lambda, CloudFormation) and cloud security best practices; strong understanding of cloud security principles, compliance frameworks, and risk management.
• Proven expertise in Identity and Access Management (IAM), including onboarding/support strategy, policy design, implementation, and audit; familiarity with IAM platforms/tools such as ForgeRock and Ping Identity.
• Proficiency in at least one programming language such as Python or Java/Spring Boot, plus strong command of Linux scripting for day-to-day operational enablement and automation. Experience with automation tooling. DevOps methodologies, and CI/CD pipelines; familiarity with enterprise scheduling/orchestration tools such as Autosys or Control-M.
• Demonstrated experience leading safe use of enterprise-authorized AI capabilities within the work environment within production support workflows, including validation practices and awareness of data sensitivity.
• Ability to define review/approval and escalation expectations for AI-assisted recommendations while maintaining operational, security, and auditability outcomes.

Preferred Qualifications, Capabilities, And Skills

• Familiarity with container and container orchestration technologies such as Docker, ECS, and Kubernetes.
• Familiarity with troubleshooting common networking technologies and issues, plus internet security/network fundamentals.
• Familiarity with databases and messaging/integration technologies.

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