Senior Lead SRE - Databricks

J.P. Morgan; Hyderabad; On-site; INR 15,00,000 - 20,00,000; Full time

Job summary

A leading financial institution is seeking a Principal Site Reliability Engineer to join their AI/ML & Data platform team in Hyderabad. The role requires expertise in application development, incident management, and tool development for automating tasks. Candidates should have 5+ years in site reliability, proficiency in Python or PySpark, and experience with monitoring tools such as Grafana and Datadog. The position involves collaborating with cross-functional teams and mentoring team members to enhance strategic change.

Qualifications

• 5+ years of experience in SRE concepts and practices.
• Experience in production incident management and resolution.
• Proficient in Python or PySpark for modeling.

Responsibilities

• Ensure service level indicators effectively measure customer experience.
• Coordinate incident management for application issues.
• Mentor team members and foster strategic change.

Skills

Site reliability principles

Application development

Python

AI/ML solutions

Incident management

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Job description

Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.

As a Principal Site Reliability Engineer at JPMorgan Chase within the AI/ML & Data platform team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products’ design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production.

Job responsibilities

• Demonstrate expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.
• Coordinate incident management coverage to ensure effective resolution of application issues.
• Collaborate with cross-functional teams to perform root cause analysis and implement production changes.
• Mentor and guide team members to foster innovation and strategic change.
• Develop and support AI/ML solutions for troubleshooting and incident resolution.

Required qualifications, capabilities, and skills

• Formal training or certification on SRE concepts and 5+ years applied experience
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficiency in running production incident calls and managing incident resolution.
• Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
• Strong understanding of SLI/SLO/SLA and Error Budgets
• Proficiency in Python or PySpark for AI/ML modeling.
• Must be able to reduce toil by building new tools to automate repeated tasks.
• Hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery
• Understanding of network topologies, load balancing, and content delivery networks.
• Awareness of risk controls and compliance with departmental and company-wide standards.
• Ability to work collaboratively in teams and build meaningful relationships to achieve common goals.

Preferred qualifications, capabilities, and skills

• SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies.
• AWS and Databricks certifications.