Top 50 Cloud architect Jobs in San Diego, Ca

Principal / Distinguished 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
Quick Apply
Salesforce Data Cloud & AI Associate Architect
Accenture —San Diego, CA
- $68,300 - $218,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
Delivery Consultant - Data Architect, AWS Professional Services
Amazon Web Services, Inc. —San Diego, CA
- $131,300 - $204,300 a year
- Full-time
- Computer Science
- HIPAA
- 3 years
- AD&D insurance
- Health insurance
Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)
Accenture —San Diego, CA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Mentoring
- Paid holidays
- Disability insurance
AI Architect
ICW Group —San Diego, CA
- $105,780.03 - $189,347.93 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid holidays
- Health insurance
Consultant - Cloud Architect
Deloitte —San Diego, CA
- $82,600 - $162,800 a year
- Full-time
- Azure
- Computer Science
- System design
Staff IT Cloud Engineer
Qualcomm —San Diego, CA
- $129,600 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- DevOps
Advanced AI Architect
Accenture —San Diego, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- DevOps
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Salesforce Revenue(CPQ) Cloud Technical Architect - CMT
Accenture —San Diego, CA
- $87,400 - $266,300 a year
- Full-time
- Remote
- Management
- Mentoring
- US work authorization
- Paid holidays
- Disability insurance
Engineering Manager, Cloud (Remote)
Brain Corp —San Diego, CA
- $220,203 - $275,254 a year
- On call
- Remote
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Quick Apply
1d
DevOps Architect-3696
Mitchell 1 Group —San Diego, CA
- $140,000 - $160,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
AWS (AABG) Mid-Market Technical Architect
Accenture —San Diego, CA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Mid-level
- Mentoring
- Paid holidays
- Disability insurance
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —San Diego, CA
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
Functional Analyst
Scientific Research Corporation —San Diego, CA
- $146,800 - $244,650 a year
- Full-time
- 7 years
- Management
- Computer Science
- Paid holidays
- Health insurance
12d
Delivery Consultant, WWPS Professional Services
Amazon Web Services, Inc. —San Diego, CA
- $131,300 - $177,600 a year
- Full-time
- 5 years
- HIPAA
- Presentation skills
- AD&D insurance
- Health insurance
Delivery Consultant, WWPS ProServe
Amazon Web Services, Inc. —San Diego, CA
- $131,300 - $177,600 a year
- Full-time
- Customer service
- HIPAA
- Presentation skills
- AD&D insurance
- Health insurance
AI Native Transformation Enterprise Consultant
Accenture —San Diego, CA
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Solutions Architect, MidMarket West
Amazon Web Services, Inc. —San Diego, CA
- $131,300 - $177,600 a year
- Full-time
- Mid-level
- Travel
- Fair chance
- AD&D insurance
- Health insurance
5d
Senior Solutions Architect, WWPS Migrations & Modernization
Amazon Web Services, Inc. —San Diego, CA
- $153,600 - $207,800 a year
- Full-time
- 3 years
- AWS
- Travel
- AD&D insurance
- Health insurance
2d
Google AI Lead Architect
Deloitte —San Diego, CA
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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cloud architect jobs near san diego, ca

Principal / Distinguished 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)
Go
Software coding
Infrastructure as Code (IaC)
Infrastructure architecture design
Production systems
Distributed systems
Cloud Native Design
Cloud automation
Distributed computing
DevOps automation
AI-driven automation
AI strategy
Technical architecture

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.

Quick Apply

Refine Your Search

cloud architect jobs in san diego, ca

Principal / Distinguished Engineer - Multi-Cloud Control Plane - Kubernetes

Salesforce Data Cloud & AI Associate Architect

Delivery Consultant - Data Architect, AWS Professional Services

Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)

AI Architect

Consultant - Cloud Architect

Staff IT Cloud Engineer

Advanced AI Architect

Salesforce Revenue(CPQ) Cloud Technical Architect - CMT

Engineering Manager, Cloud (Remote)

DevOps Architect-3696

AWS (AABG) Mid-Market Technical Architect

US Tech - AI Engineering Manager

Functional Analyst

Delivery Consultant, WWPS Professional Services

Delivery Consultant, WWPS ProServe

AI Native Transformation Enterprise Consultant

Solutions Architect, MidMarket West

Senior Solutions Architect, WWPS Migrations & Modernization

Google AI Lead Architect

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