Site Reliability Engineer II - Python, AWS, Unix

JPMorgan Chase & Co.; Bengaluru; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Site Reliability Engineer II in Bengaluru to help ensure system reliability within the Commercial & Investment Bank - Payments Technology team.

You will develop code, follow best practices, and collaborate with cross-functional teams to improve reliability and knowledge of JPMorgan's technologies. The role emphasizes independent project work, AI-enabled incident triage, and robust observability.

Qualifications

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Ability to code in at least one programming language.
• Working knowledge of enterprise AI capabilities for SRE workflows with validation and data sensitivity awareness.
• Assess AI-assisted operational recommendations for correctness and risk; maintain resiliency, security and auditability.
• Experience maintaining a cloud-based infrastructure.
• Familiar with site reliability concepts and practices.
• Familiar with observability including SLOs, monitoring and telemetry collection.
• Familiarity with containers or Linux/Windows server OS.
• Emerging knowledge of CI/CD practices and tooling.

Responsibilities

• Executes small to medium projects independently with initial direction and graduates to designing and delivering projects independently.
• Writes high quality, maintainable code following software engineering best practices.
• Uses enterprise AI capabilities to speed up incident triage, troubleshooting, and post-incident analysis, with data sensitivity in mind.
• Participates in triaging, examining, diagnosing, and resolving incidents to address root causes.
• Identifies toil and works to eliminate it through systems engineering or code updates.
• Implements observability patterns and improves SLOs, monitoring, and alerting for transparency.
• Applies enterprise AI capabilities to identify recurrence of toil and reliability risks from operational signals.

Skills

Programming

AI in SRE

Cloud infrastructure

Observability

Containers

CI/CD

Education

Software engineering training

Tools

AWS

Terraform

Kubernetes

Linux

Job description

Play a key role in ensuring system reliability at one of the world's most iconic and largest financial institutions.

As a Site Reliability Engineer II at JPMorgan Chase within the Commercial & Investment Bank- Payments Technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you'll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase's business and relevant technologies.

Job responsibilities

• Executes small to medium projects independently with initial direction and graduates to designing and delivering projects independently
• Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
• Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Participates in triaging, examining, diagnosing, and resolving incidents and works with others to solve problems at their root
• Recognizes toil within the role and proactively works towards eliminating it through systems engineering or updating application code
• Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
• Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong)
• Ability to code in at least one programming language
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity.
• Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability.
• Experience maintaining a cloud-based infrastructure
• Familiar with site reliability concepts, principles, and practices
• Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection
• Familiarity with containers or a common server OS such as Linux and Windows
• Emerging knowledge of continuous integration and continuous delivery practices and related tooling

Preferred qualifications, capabilities, and skills

• Java developer experience in enterprise application development
• Strong experience in SDLC delivery in Agile methodologies
• At least two years experience in Java 17+
• Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
• Experience writing Terraform scripts and deploying in AWS production environment
• Experience in at least one relational database management system (preferably Oracle or PostgreSQL)