Vice President, Senior Manager of Site Reliability Engineering

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $188k

$140k $240k

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1197 open roles on FindRole.

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At a glance

TL;DR · Vice President, Senior Manager of Site Reliability Engineering

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The Vice President - Senior Manager of Site Reliability Engineering joins the Chief Data and Analytics Office AI/ML and Data Platforms team to lead a group of 8–10 engineers. This role serves as the non-functional requirement owner, defining availability targets and embedding reliability principles into product designs for large-scale data platforms and AI/ML workloads. Key responsibilities include overseeing infrastructure stability, managing stakeholders, and driving a culture of blameless post-mortems and continuous improvement. The position requires expertise in site reliability engineering, platform engineering, and distributed systems. Candidates must utilize tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk, alongside Databricks, Spark, Docker, Kubernetes, and Terraform. Proficiency in Python is required to manage CI/CD pipelines, automation frameworks, and secure, scalable analytics infrastructure.

Skills

Site Reliability Engineering Platform Engineering AI/ML Infrastructure Grafana Dynatrace Prometheus Datadog Splunk Databricks Spark Python Docker Kubernetes Terraform CI/CD Infrastructure as Code AWS Big Data Data Lake SLI/SLO/SLA Incident Management

What you'll do

Lead, mentor, and develop a team of 8–10 site reliability and platform engineers through tailored growth plans.
Own non-functional requirements, availability targets, and service level objectives for large-scale data and AI/ML workloads.
Drive the design and implementation of observability frameworks using tools like Grafana, Dynatrace, and Prometheus.
Oversee the architecture and operational stability of Databricks, Spark-based pipelines, and big data infrastructure.
Establish and govern CI/CD pipelines, infrastructure as code practices using Terraform, and automation frameworks.
Lead the adoption of enterprise-authorized AI capabilities within site reliability workflows with human-in-the-loop validation.
Manage stakeholders to ensure project delivery aligns with compliance standards, risk requirements, and business objectives.
Conduct data-driven post-mortems and real-time feedback loops to foster a culture of continuous improvement.

What we're looking for

Formal training or certification in site reliability engineering concepts and 5+ years of applied experience.
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 8 or more engineers.
Advanced proficiency in site reliability culture, including implementing SLI/SLO/SLA frameworks, error budgets, and incident management.
Hands-on experience with observability tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk.
Experience leading platform engineering for large-scale data platforms using Spark and Databricks.
Proficiency in Python or similar programming languages for automation and platform development.
Experience with Docker, Kubernetes, Terraform, and CI/CD practices.
Experience with AWS platforms and cloud-native infrastructure for AI/ML workloads (preferred).
Background in AI/ML platform engineering, including infrastructure for model training and monitoring (preferred).