Lead Site Reliability Engineer AWS

JPMorganChase; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

JPMorgan Chase in Bengaluru, within the Global Banking Technology team, seeks a Lead Site Reliability Engineer to shape reliability across critical applications and platforms. You will guide incident response, drive SRE best practices, and mentor engineers in a complex enterprise environment.

Role requires 5+ years of SRE experience, expertise in observability, CI/CD tooling, and container orchestration, with strong leadership and communication skills across stakeholders.

Qualifications

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience.
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
• Fluency in at least one programming language such as Java or Python.
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines.
• Proficiency and experience in observability with tools like Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc., and CI/CD tooling like Jenkins, GitLab, Terraform.
• Strong SDLC, secure development, and DevOps/CI/CD capabilities; able to drive continuous improvement with root-cause analysis and auto-remediation.
• Experience with enterprise AI capabilities to improve SRE workflows and knowledge capture.
• Ability to evaluate AI-driven recommendations for correctness and risk, with guardrails for resiliency and security.
• Experience with monitoring/logging tools and dashboards.
• Experience with container orchestration (Kubernetes, ECS, Docker).
• Troubleshooting networking technologies and issues.

Responsibilities

• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team.
• Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics.
• Collaborates to define service level indicators and objectives with stakeholders and customers.
• Maintains high technical expertise and solves bottlenecks in areas of expertise.
• Leads AI-assisted reliability workflows across SDLC/toolchain practices with traceability and security controls.
• Acts as main incident contact to quickly identify and resolve issues to avoid financial losses.
• Documents and shares knowledge within the organization via internal forums and communities of practice.

Skills

SRE leadership

Reliability engineering

Observability

CI/CD tooling

AI in operations

Incident management

Networking troubleshooting

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

AppDynamics

Jenkins

GitLab

Terraform

Kubernetes

Docker

Job description

Job Description

A critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank's Global Banking Technology team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job Responsibilities

• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.
• Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
• Documents and shares knowledge within your organization via internal forums and communities of practice

Required Qualifications, Capabilities, And Skills

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
• Fluency in at least one programming language such as (e.g., Java/Python, Java Spring Boot, etc.)
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
• Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
• Strong grasp of SDLC, secure development, DevOps/CI/CD tooling; capable of implementing top-tier continuous improvement with root-cause analysis and auto-remediation.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
• Experience with monitoring/logging tools (e.g., Splunk, AppDynamics) and dashboard technologies.
• Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
• Experience with troubleshooting common networking technologies and issues

Preferred Qualifications, Capabilities, And Skills

• Tools / Agentic AI to solve common opportunities in SRE Domain
• Certification towards CI/CD and AI skills. Splunk Administrator certification desired.
• Drive to self-educate and evaluate new technology
• Ability to teach new programming languages to team members
• Ability to expand and collaborate across different levels and stakeholder groups