Senior Site Reliability Engineer

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Site Reliability Engineer III to help scale and harden mission-critical systems. You will collaborate with software engineers to design, implement, and operate reliable cloud-based applications using Python, AWS and CI/CD pipelines.

The role emphasizes observability, incident response, and applying AI-assisted insights to improve reliability, with a focus on automation, monitoring, and scalable architecture.

Qualifications

• Formal training on site reliability engineering concepts and 3+ years applied experience.

Responsibilities

• Guides and assists others in building appropriate level designs and gaining consensus.
• Collaborates with engineers to design, develop, test, and implement deployment and reliability approaches.
• Uses enterprise AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis.
• Implements infrastructure as code for applications and platforms in remit.
• Collaborates with stakeholders to resolve problems and address issues using SLOs/SLIs.
• Applies AI capabilities to identify patterns indicating reliability risk or toil.
• Familiar with availability, reliability, scalability, and improving these outcomes iteratively.
• Proactively identifies road blocks and explores new technologies.

Skills

Python

Java/Spring Boot

.Net

Tools

Grafana

Prometheus

Dynatrace

Datadog

Splunk

AWS

Jenkins

Github

Terraform

Job description

Site Reliability Engineer III - Python, Grafana, Splunk, AWS, Jenkins

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Site Reliability Engineer III at JPMorgan Chase within the Employee Platforms Team, you will solve complex and broad business problems with simple and straightforward solutions.

Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions.

You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
• Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
• Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes
• Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively
• Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
• Experience in Python, Grafana , Prometheus, Dynatrace, Datadog and Splunk, AWS, CICD experience, Jenkins, Github, Terraform
• Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
• Experience with continuous integration and continuous delivery tooling

Preferred qualifications, capabilities, and skills

• Familiarity with AI coding assistant tools
• Familiarity with container and container orchestration and troubleshooting common networking technologies and issues