at J.P. Morgan
Bulge Bracket Investment BanksPosted 15 days ago
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*SITE RELIABILITY ENGINEER II - EXPAND YOUR SRE EXPERTISE AT JPMORGAN CHASE* Key Role: Ensure system reliability at a global financial powerhouse. Responsibilities: - Solve complex challenges and develop software solutions - Write secure, high-quality code and maintain reliable algorithms/services - Produce architecture and design artifacts, adhere to defined design constraints - Implement, improve reliability, and automate CI/CD pipelines - Collaborate with cross-functional teams to resolve issues, proactively address potential problems - Analyze large datasets, drive continuous improvement, leverage AI for accelerated troubleshooting Required Skills & Experience: - Formal software engineering training, 3+ years applied experience, SRE mindset - Expertise in Python, API design, system design, large-scale distributed environments - Experience with observability tools, cloud-based infrastructure maintenance - Familiarity with CI/CD tools, enterprise-authorized AI-assisted engineering tools - Production support, incident triage, root cause analysis experience Preferred Qualifications: - Experience in financial institutions, supporting Front Office platforms - Knowledge of Terraform, containers, Kubernetes, FinOps principles Neutral, professional tone, no generic phrases. Neutral, professional tone, no generic phrases. Neutral, professional tone, no generic phrases.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Location: Mumbai, Maharashtra, India
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 youll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chases 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
- 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
- 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
Work in technology while increasing your knowledge and skillsets at one of the world's leading organizations
