Software Engineer II - SRE

Software Engineer II - SRE

Mumbai, Maharashtra, India

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JOB INFORMATION

Job Identification

210801167

Job Category

Software Engineering

Business Unit

Asset & Wealth Management

Posting Date

10/21/2026, 02:48 PM

Locations

One Central Avenue, Downtown Powai, Mumbai, Maharashtra, Mumbai, IN-MH, 400076, IN

Job Schedule

Full time

Job Shift

Day

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 Asset and Wealth Management, 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

Designs, develops, and delivers software solutions, applying structured problem decomposition and technical troubleshooting to address complex engineering challenges

Writes secure, high-quality production code and maintains reliable algorithms/services that meet system and operational requirements

Produces and maintains architecture and design artifacts for complex applications, ensuring implementations adhere to defined design constraints

Implements and continuously improves reliability and release practices through automated CI/CD pipelines and engineering best practices

Collaborate with software engineers, stakeholders, and production support partners to resolve complex problems and proactively address issues before they impact customers

Analyzes large, diverse datasets to generate insights, visualizations, and reporting that drive continuous improvement of applications and systems

Uses enterprise-authorized AI capabilities to accelerate troubleshooting and operational analysis, validating outputs and handling operational data in line with sensitivity and security requirements

Contributes to engineering communities of practice and participates in events exploring new and emerging technologies

Fosters an inclusive team culture grounded in diversity, opportunity, inclusion, and mutual respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience

SRE mindset and working knowledge of reliability principles, including availability, scalability, incident management, and iterative improvement

Expert level in the programming on Python. Experience designing and building APIs using popular frameworks such as Flask, Fast API

Hands-on experience with system design, application development, testing, and operational stability in a large-scale distributed environment

Experience maintaining a Cloud-base infrastructure

Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection/visualization using tools such as Grafana, Dynatrace, Prometheus, Phoenix, Splunk, OpenTelemtry and others

Emerging knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)

Emerging knowledge of continuous integration and continuous delivery tools (e.g., Jenkins, Jules, Spinnaker, BitBucket, GitLab, Terraform, etc.)

Demonstrated ability to work effectively with enterprise-authorized AI-assisted engineering tools within the work environment as a core part of modern software and reliability engineering, including the ability to validate outputs for correctness, performance, and security, and to handle inputs/outputs in accordance with data sensitivity requirements

Production support / on-call experience, including incident triage, mitigation, root cause analysis, and driving post-incident improvements

Preferred qualifications, capabilities, and skills

Experience in a financial institution, preferably supporting Front Office platforms and time-sensitive, high-availability workloads

Knowledge on Terraform, containers and container orchestration, especially Kubernetes preferred

Knowledge of FinOps principles, cloud financial management, and cost optimization techniques

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