Site Reliability Engineer II - Java/Python, Kubernetes, AWS, Terraform

Aumni; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

JPMorgan Chase in Bengaluru seeks a Site Reliability Engineer II to strengthen system reliability within the Commercial Investment Bank team. You will write robust code, operate large-scale services, and collaborate with cross-functional teams to reduce toil and improve SLO-driven observability.

You will apply AI-enabled capabilities to incidents, participate in root-cause analyses, and drive automation across CI/CD pipelines and monitoring tooling.

Qualifications

• Formal training or certification on site reliability engineering concepts and 2+ years applied experience.
• Proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
• Fluency in programming languages such as Java or Python.
• Deep knowledge of observability and CI/CD tooling with enterprise-grade monitoring and automation.
• Experience with AI capabilities in reliability workflows and guardrails.

Responsibilities

• Executes small to medium projects independently and scales to larger designs.
• Writes high quality, maintainable code and follows software engineering best practices.
• Uses enterprise AI capabilities to speed incident triage and post-incident analysis.
• Triage, diagnose, and resolve incidents with cross-functional teams.
• Implement observability patterns including SLOs, monitoring, and alerting.
• Identify toil and pursue automated, resilient improvements.

Skills

Reliability engineering

Observability

SRE fundamentals

CI/CD tooling

Programming (Java/Python)

Incident response

AI for reliability

Networking troubleshooting

Kubernetes / Docker

Monitoring tools (Splunk, Dynatrace, …

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Jenkins

GitLab

Terraform

Kubernetes

Docker

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 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 site reliability engineering concepts and 2+ years applied experience
• 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.)
• 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.
• Use 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

Work in technology while increasing your knowledge and skillsets at one of the world's leading organizations