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Lead Software Engineer - AWS SRE

JPMorgan Chase · Posted Oct 11

Global banking, investment, credit card, mortgage, and asset management services

Hyderabad, Hyderabad, Telangana, IndiaFull-timeOnsiteLead/Staff5+ years₹30.0L–₹50.0L yearly62 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

JPMorgan Chase's Consumer and Community Banking technology team works in agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. The work centers on cloud production operations, reliability engineering, observability, and AWS architecture across business-critical services. This role is a senior/lead AWS SRE responsible for live site management, SRE practices such as SLIs/SLOs and error budgets, incident response and root-cause analysis, observability, cloud architecture strategy, and cost optimization.

What you will do

  • Dive into Live Site Management and cloud production management practices, including production readiness, change governance, incident response, problem management, and operational risk reduction.
  • Define and improve SRE practices, including service-level indicators, service-level objectives, error budgets, capacity planning, and reliability engineering.
  • Advance observability across applications and infrastructure through effective logging, metrics, distributed tracing, dashboards, alerting, and automated anomaly detection.
  • Drive major incident response, root-cause analysis, corrective actions, and the systematic elimination of recurring production issues.
  • Establish production health, availability, performance, and resiliency measures that provide actionable insight to engineering and business leadership.
  • Promote team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
  • Shape the end-to-end AWS cloud architecture strategy across all product components.
  • Strengthen cloud cost strategy and optimization across the product.

Skills used in this role

AWSSREObservabilityDistributed TracingLoggingMetricsAlertingAnomaly DetectionAutomationAI-Assisted DevelopmentRoot-Cause AnalysisCapacity PlanningCloud ArchitecturePerformance EngineeringSystems ThinkingIncident Response

What the employer is looking for

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Deep, broad AWS expertise across compute, data, networking, security, and observability, with proven production architecture experience.
  • Systems thinking, including the ability to reason about trade-offs, failure modes, and dependencies across an entire product.
  • Strategic command of cost, scalability, automation, reliability, and AI integration as connected levers.
  • Hands-on depth to validate and prototype ideas, not just advise.
  • Proven experience managing cloud-hosted production services and leading Live Site Management practices in complex, business-critical environments.
  • Strong SRE and observability expertise, including SLI/SLO definition, error budgets, telemetry, distributed tracing, alert design, capacity management, and performance engineering.
  • Demonstrated ability to lead high-severity incident response, perform root-cause analysis, and drive durable remediation across multiple engineering teams.
  • Experience establishing production readiness standards, operational controls, runbooks, dashboards, and measurable service health objectives.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company

Leadership

JD
Jamie Dimon

Chairman and Chief Executive Officer

JB
Jeremy Barnum

Chief Financial Officer

JP
Jennifer Piepszak

Chief Operating Officer

LB
Lori Beer

Global Chief Information Officer

MC
Mary Callahan Erdoes

CEO, Asset & Wealth Management