Senior Manager, SRE & AI/ML Platform Engineering

JPMorganChase; Jersey City (NJ); On-site; USD 190,000 - 290,000; Full time

Job summary

JPMorganChase is seeking a Senior Manager of Site Reliability Engineering in Jersey City to lead a team of 8–10 engineers. You will own non-functional requirements, define availability targets, and drive reliability for analytics and AI/ML workloads.

You will implement SLI/SLO/SLA, observability frameworks, and scalable platform architecture across Databricks, Spark, and data pipelines. The role emphasizes blameless post-mortems, data-driven decision making, and collaboration with stakeholders

Qualifications

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience.
• In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Demonstrated experience managing and growing site reliability or platform engineering teams, with direct responsibility for a team of 8 or more engineers.
• Advanced proficiency in site reliability culture and principles, with a proven track record of implementing SLI/SLO/SLA frameworks, error budgets, incident management, and production readiness practices across large-scale distributed systems and data platforms.
• Hands‑on experience with observability tooling and monitoring strategies, including white and black box monitoring, alerting, and telemetry collection using Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
• Experience leading platform engineering efforts on large-scale data platforms and data lake ecosystems, including distributed compute frameworks such as Spark and managed platforms such as Databricks.
• Proficiency in Python or similar programming languages for automation, platform development, and operational tooling.
• Experience with containerization and orchestration technologies including Docker and Kubernetes, and infrastructure as code tools such as Terraform.
• Demonstrated experience leading teams in the safe and effective use of enterprise-authorized AI capabilities within reliability engineering workflows, including validation practices, escalation paths, and awareness of data sensitivity.
• Proficient with CI/CD practices and related tooling, container orchestration, and troubleshooting common networking technologies and issues.
• Strong communication and stakeholder management skills, with the ability to translate complex technical concepts into business-aligned outcomes and influence peers and executive partners.

Responsibilities

• Lead, mentor, and develop a team of 8–10 site reliability and platform engineers, fostering ownership and continuous improvement.
• Own non-functional requirements, availability targets, SLIs/SLAs, and production readiness for services supporting large-scale data platforms and AI/ML workloads.
• Drive design and evolution of observability and reliability frameworks across distributed systems and data platforms.
• Oversee architecture and operational stability of data platform infrastructure, including Databricks, Spark pipelines, and big data tools.
• Advance reuse-first adoption of enterprise AI capabilities within SRE workflows with proper validation and governance.
• Foster continuous improvement through real-time feedback loops, post-mortems, and data-driven learning.
• Manage stakeholders and ensure projects align with compliance, risk, security, and business objectives.
• Support staffing, budget, and resource planning, including hiring and development of engineering talent.
• Promote SRE culture and knowledge sharing via internal communities and forums.
• Establish and govern CI/CD pipelines and IaC practices to accelerate delivery and reduce toil.

Skills

5+ years SRE leadership

Team leadership 8+ engineers

SLI/SLO/SLA frameworks

Observability tooling

Databricks/Spark

Python automation

Docker/Kubernetes

Terraform/IaC

AI reliability workflows

CI/CD pipelines

Stakeholder communication

Tools

Grafana

Prometheus

Datadog

Splunk

Databricks

Spark

Terraform

Docker

Kubernetes

Python

Job description

JPMorganChase is seeking a Senior Manager of Site Reliability Engineering in Jersey City to lead a team of 8–10 engineers. You will own non-functional requirements, define availability targets, and drive reliability for analytics and AI/ML workloads.

You will implement SLI/SLO/SLA, observability frameworks, and scalable platform architecture across Databricks, Spark, and data pipelines. The role emphasizes blameless post-mortems, data-driven decision making, and collaboration with stakeholders