Drimva

JPMorgan Chase

Senior Manager of Software Engineering

$176K–$260K

Jersey City, NJ +1 · Manager · Full-time · Posted Oct 29, 2026

Location
Jersey City, NJ
Palo Alto, CA
Experience
5+ years of applied SRE experience and 2+ years leading technologists; team leadership experience includes direct responsibility for 8 or more engineers.

About the job

Leads a team of site reliability and platform engineers responsible for reliability, observability, and operational stability of large-scale data platforms and AI/ML workloads.

What you'll do

  • Lead, mentor, and develop a team of 8–10 engineers.
  • Set and govern availability targets, SLI/SLO frameworks, and reliability practices for production services.
  • Oversee data-platform infrastructure, observability, CI/CD, automation, and responsible use of enterprise-authorized AI capabilities.

What they ask for

  • Formal training or certification in site reliability engineering concepts and 5+ years of applied experience; 2+ years leading technologists on complex technical work.
  • Experience managing and growing SRE or platform engineering teams, with direct responsibility for at least 8 engineers.
  • Proven experience implementing SLI/SLO/SLA frameworks, incident management, and production-readiness practices across large-scale distributed systems and data platforms.
  • Hands-on experience with observability tools, large-scale data platforms, programming for automation, containers/orchestration, infrastructure as code, CI/CD, and safe enterprise AI use.

Nice to have

  • Experience with AWS and cloud-native services for AI/ML and analytics workloads.
  • Familiarity with big-data tools such as Glue or MapReduce, AI/ML platform engineering, or engineering communities.

Pay

Jersey City, NJ: USD 175,750.00-260,000.00 base salary; Palo Alto, CA: USD 175,750.00-260,000.00 base salary

Tools

Grafana, Dynatrace, Prometheus, Datadog, Splunk, Databricks, Spark, Python

AI focus

Leads safe use of enterprise-authorized AI in SRE workflows, with traceability, auditability, security and resiliency alignment, and human-in-the-loop validation; supports AI/ML platform workloads.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)