Software Engineer II - SRE

Aumni

Mumbai

Hybrid

INR 1,800,000 - 3,000,000

Full time

14 days+

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Job summary

JPMorgan Chase is seeking a Site Reliability Engineer II to enhance system reliability within Asset and Wealth Management. You will work independently on small to medium projects and collaborate across teams to improve knowledge and practices.

The role emphasizes production-grade code, secure APIs, and scalable architectures. You will apply reliability principles, monitor and troubleshoot with observability tools, manage incident response, and contribute to automation and AI-assisted workflows

Qualifications

  • Formal training or certification in software engineering concepts and 3+ years SRE experience.
  • Expert level in Python programming, with API design using Flask or FastAPI.
  • Hands-on experience with large-scale distributed systems and cloud infrastructure.
  • Experience with cloud-based infrastructure and deployment.
  • Familiar with observability and telemetry tools (Grafana, Prometheus, OpenTelemetry).
  • Knowledge of CI/CD tools (Jenkins, Spinnaker, Terraform) and release practices.
  • Ability to validate AI-assisted tooling outputs for accuracy, security, and performance.
  • Production support / on-call experience including incident triage and post-incident improvements.

Responsibilities

  • Design, develop, and deliver reliable software solutions for complex systems.
  • Write secure, high-quality production code and robust services.
  • Create architecture and design artifacts for large applications.
  • Improve reliability and release practices via automated CI/CD pipelines.
  • Collaborate with engineers and support teams to address issues before customer impact.
  • Analyze large datasets to generate insights and drive improvements.
  • Leverage AI-assisted capabilities for troubleshooting and operational analysis.
  • Participate in communities of practice and stay updated on new technologies.
  • Foster an inclusive team culture emphasizing diversity and collaboration.

Skills

Python programming
APIs (Flask/FastAPI)
SRE mindset
Cloud infrastructure
Observability tools
CI/CD pipelines
Incident management
Data analysis

Tools

Grafana
Prometheus
OpenTelemetry
Jenkins
Spinnaker
Terraform

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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