Site Reliability Engineer II - Python, AWS, Unix

JPMorganChase; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JPMorgan Chase is hiring a Site Reliability Engineer II for the Payments Technology team in Bengaluru. You will ensure system reliability, write robust code, and collaborate with cross-functional teams to improve services and resilience.

You will leverage enterprise AI capabilities to speed up incident triage, implement observability patterns, and support secure, scalable production workloads in a cloud-based environment.

Qualifications

• 2+ years of software engineering concepts training or certification.
• Ability to code in at least one programming language.
• Experience maintaining a cloud-based infrastructure.
• Familiar with site reliability concepts and observability patterns.
• Proficiency with containers and common server OS (Linux/Windows).
• Exposure to CI/CD practices and tooling.

Responsibilities

• Execute small to medium projects independently and escalate to larger initiatives when needed.
• Write high-quality, maintainable code and follow software engineering best practices.
• Leverage enterprise AI capabilities to speed up incident triage and post-incident analysis.
• Participate in triaging, diagnosing, and resolving incidents to root cause.
• Identify toil and improve systems to reduce manual interventions.
• Improve observability with SLIs/SLOs, monitoring, and alerting.

Skills

Java development

Cloud infrastructure

Observability

Containers

CI/CD tooling

AI in SRE

Education

Software engineering concepts certification

Tools

AWS EC2

AWS EKS

AWS ECS

Terraform

PostgreSQL

Oracle

Job description

Job Description

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

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)