Top 892 Engineering team leader Jobs in Rancho Santa Fe, Ca

Principal Software Engineer - Multi-Cloud Control Plane - Kubernetes
ServiceNow —San Diego, CA
- $254,500 - $445,400 a year
- Online Application
- Hybrid work
- 11+ years
- Office
- Residential
- Employee stock purchase plan
- Health insurance
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General Manager
Winchester Interconnect —San Marcos, CA
- Up to $220 a day
- Oracle
- Engineering
- Data analysis skills
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Security Engineer, AI Platform Engineering
Saronic Technologies —San Diego, CA
- Full-time
- Customer service
- Senior level
- Teaching
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Manufacturing Engineer
5th Axis Inc. —San Diego, CA
- $108,000 - $135,000 a year
- Full-time
- 5 years
- Engineering
- Mid-level
- Paid training
- Health savings account
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3d
Flight Dynamicist
Leidos —San Diego, CA
- $87,100 - $157,450 a year
- Full-time
- Hybrid work
- System design
- Master's degree
- Analysis skills
Senior Systems Test Software Engineer
Saronic Technologies —San Diego, CA
- Full-time
- Software troubleshooting
- 5 years
- Writing skills
- Paid parental leave
- Paid holidays
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Modeling and Simulation Engineering Manager 2
Northrop Grumman —San Diego, CA
- $158,700 - $238,100 a year
- Overtime
- System design
- Office
- Master's degree
- Paid holidays
- Disability insurance
Systems Software Engineer, Generalist
Saronic Technologies —San Diego, CA
- Full-time
- 5 years
- Office
- C++
- Paid parental leave
- Paid holidays
Quick Apply
Forward Deployed Software Engineer
Saronic Technologies —San Diego, CA
- Full-time
- Up to 50% travel
- Office
- C++
- Paid parental leave
- Paid holidays
Quick Apply
DIS TECH - US Sales Lead / Account Manager (Flexible Level)
DIS Tech —San Diego, CA
- From $135,000 a year
- Full-time
- Hybrid work
- Engineering
- 3 years
- Travel
- Health insurance
- Dental insurance
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Forward Deployed Hardware Engineer
Saronic Technologies —San Diego, CA
- Full-time
- System design
- Mid-level
- 3 years
- Paid parental leave
- Paid holidays
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Manager Digital Engineering 1
Northrop Grumman —San Diego, CA
- $133,000 - $199,600 a year
- Overtime
- Bachelor of Science
- 3 years
- Supervising experience
- Paid holidays
- Disability insurance
13d
Competency Mechanical Engineer
ASML —San Diego, CA
- $102,375 - $170,625 a year
- Full-time
- Research
- Master's degree
- Senior level
- Paid holidays
- Health insurance
High Speed Systems Engineer
Leidos —San Diego, CA
- $87,100 - $157,450 a year
- Full-time
- Hybrid work
- Bachelor of Science
- Office
- Master's degree
Senior Software Engineer
Cesna Recruitment —San Diego, CA
- $120,000 - $160,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
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High Speed Systems Engineer
Leidos —San Diego, CA
- $87,100 - $157,450 a year
- Full-time
- Hybrid work
- Bachelor of Science
- Office
- Master's degree
Transmission Line Engineer III
NV5 —San Diego, CA
- $95,000 - $135,000 a year
- Full-time
- Hybrid work
- Bachelor of Science
- Office
- Mentoring
13d
Transmission Line Engineer II
NV5 —San Diego, CA
- $80,000 - $100,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Electrical Engineering
13d
Deputy Program Manager
United Support Services, Inc. —San Diego, CA
- $95,000 - $110,000 a year
- Extended hours
- Background check
- Microsoft Excel
- Ability to walk for extended periods
- Paid holidays
- Health insurance
Quick Apply
7d
Lead Electrical Systems Engineer
Leidos —San Diego, CA
- $131,300 - $237,350 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Team management

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engineering team leader jobs near rancho santa fe, ca

Principal Software Engineer - Multi-Cloud Control Plane - Kubernetes

ServiceNow -
San Diego, CA

Quick Apply

Job Details

Full-time
$254,500 - $445,400 a year

Benefits

Employee stock purchase plan
Health insurance
Flexible spending account
Family leave
401(k) matching

Qualifications

Containerization systems
Cloud identity and access management (IAM)
Software engineering
Go
Software design
Tooling
Software coding
Infrastructure as Code (IaC)
Infrastructure architecture design
Production systems
Distributed systems
Cloud Native Design
System architecture design
Cloud automation
Distributed computing
DevOps automation
AI-driven automation
AI strategy

Full Job Description

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

Position Location:
This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office. We have offices in several locations, including Santa Clara, CA, San Diego, CA, and Kirkland, WA

Cloud Platform — Kubernetes, Hyperscalers & Distributed Systems

We are currently seeking a Distinguished Engineer. In this role, you will have org-wide technical authority, giving you the ability to set technical direction across multiple engineering organizations. You will own the hardest, most ambiguous problems in the platform domain.

What you get to do in this role:

You will set the technical direction for our cloud-native platform across multiple engineering teams and organizations, defining the architecture and standards for how Kubernetes, distributed systems, and hyperscaler infrastructure are built and operated at scale.
You will own the hardest, most ambiguous technical problems in the platform domain — multi-cloud topology, control-plane design, workload isolation, identity and trust fabric, and reliability at the scale of hundreds of clusters and dozens of product workloads.
You will partner with engineering fellows, principal engineers, and other senior technical leaders to drive consistent architectural decisions and the adoption of best practices across the entire platform ecosystem.
You will identify and mitigate the biggest technical risks in initiatives with C-suite visibility, and you will be the person leadership trusts to make the call on managed vs. self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.
Where you see the need, you will personally design and build the critical components — control planes, operators, infrastructure abstractions, and the systems other teams build on top of.
You will mentor staff and principal engineers and shape the next generation of the organization’s technical leadership.

Qualifications

To be successful in this role you have:

Experience leveraging or critically thinking about how to integrate AI into engineering and platform work — whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run.
12+ years of experience designing, building, and operating large-scale distributed systems in production, with deep expertise running Kubernetes at scale (multi-cluster, multi-region, multi-tenant).
Hands-on, authoritative experience across one or more major hyperscalers (AWS, Azure, GCP), including their managed Kubernetes offerings (EKS, AKS, GKE) and the networking, IAM, and capacity tradeoffs that come with each.
A proven track record of providing technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.
Deep expertise in the core building blocks of a modern platform: the operator/controller pattern, infrastructure-as-code and control planes (e.g., Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.
Strong programming skills in Go and fluency across the cloud-native ecosystem.

It also helps if you have:

Experience designing identity and trust fabrics for distributed systems — workload identity, mTLS, and standards such as SPIFFE/SPIRE.
Experience with multi-tenant workload isolation and runtime security (e.g., Kata Containers, sandboxed runtimes).
Experience building and operating platforms for regulated or federal markets (FedRAMP, air-gapped or self-hosted distribution, OCI bundling).
Experience with observability at scale — metrics, tracing, and SLO-driven operations across a large fleet.
A platform-as-product mindset: treating internal engineering teams as customers and the platform as a product with a roadmap, contracts, and a delivery pipeline.

For positions in this location, we offer a base pay of $254,500 - $445,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Refine Your Search

engineering team leader jobs in rancho santa fe, ca

Principal Software Engineer - Multi-Cloud Control Plane - Kubernetes

General Manager

Security Engineer, AI Platform Engineering

Manufacturing Engineer

Flight Dynamicist

Senior Systems Test Software Engineer

Modeling and Simulation Engineering Manager 2

Systems Software Engineer, Generalist

Forward Deployed Software Engineer

DIS TECH - US Sales Lead / Account Manager (Flexible Level)

Forward Deployed Hardware Engineer

Manager Digital Engineering 1

Competency Mechanical Engineer

High Speed Systems Engineer

Senior Software Engineer

High Speed Systems Engineer

Transmission Line Engineer III

Transmission Line Engineer II

Deputy Program Manager

Lead Electrical Systems Engineer

I want to receive the latest job alert for engineering team leader in rancho santa fe, ca

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