Senior Manager of Software Engineering

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Jersey City, NJPalo Alto, CA
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $175k

$107k $244k

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This listing doesn't post a salary. Most similar roles pay $149,500–$200,237.

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Employer

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 1238 open roles on FindRole.

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At a glance

TL;DR · Senior Manager of Software Engineering

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The Senior Manager of Software Engineering joins the AI/ML and Data Platforms team to lead and mentor a group of 8–10 engineers. This role serves as the non-functional requirement owner for applications supporting large-scale data platforms and AI/ML workloads. Key responsibilities include defining availability targets, implementing service level indicators and objectives, and overseeing the operational stability of data platform infrastructure. The manager will drive the design of observability frameworks and manage CI/CD pipelines. Required technical skills include proficiency in Python, Docker, Kubernetes, and Terraform. Candidates must have experience with Spark, Databricks, and monitoring tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk. The role focuses on ensuring secure, scalable, and high-performing analytics environments while fostering a blameless, data-driven site reliability engineering culture.

What does a Software Engineering Manager earn in California?

Median $267050 from 38 postings across 13 companies.

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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 indicators for large-scale data and AI/ML platforms.
Drive the design and implementation of observability frameworks using tools like Grafana, Prometheus, and Datadog.
Oversee the architecture and operational stability of Databricks, Spark-based pipelines, and big data ecosystems.
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, Spark-based pipelines, and Databricks.
Proficiency in Python or similar programming languages, Docker, Kubernetes, and Terraform.
Experience with AWS platforms, cloud-native infrastructure, and AI/ML platform engineering (preferred).