Platform Engineer Jobs in California
Platform Engineer jobs in California are among the most active in the country, concentrated in cloud infrastructure, developer tooling, and enterprise systems across technology, finance, and entertainment industries, with openings at every level from early-career to staff and principal engineer. The heaviest hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Salesforce have deep engineering operations and a consistent need for platform engineering talent. The most in-demand specialties include Kubernetes and container orchestration, internal developer platform (IDP) design, and cloud infrastructure automation. Find a role that fits below and apply directly.
Find Platform Engineer JobsOverview
Open roles579+
Top employerApple
Top citySan Francisco, CA
Cities hiring62
Work type43% On-site
Top industryTechnology
Showing 5 of 579+ Platform Engineer jobs
Distinguished Software Engineer, Data Platform
We won't show you this job again
New 10h ago
Saviynt
Distinguished Software Engineer, Data Platform
Milpitas, California
New 10h ago
Senior Software Engineer [Platform & Infrastructure Services]
We won't show you this job again
New 14h ago
Raytheon
Senior Software Engineer [Platform & Infrastructure Services]
Fullerton, California
New 14h ago
Distinguished Engineer – Private Cloud Platform Engineering
We won't show you this job again
Added 1d ago
GEICO
Distinguished Engineer – Private Cloud Platform Engineering
Palo Alto, California
Added 1d ago
Platform Engineer, Revenue Operations
We won't show you this job again
Added 1d ago
NOOKS
Platform Engineer, Revenue Operations
San Francisco, California
Added 1d ago
R
Senior Platform Engineer
We won't show you this job again
R
Added 1d ago
Rifa AI
Senior Platform Engineer
San Francisco, California
Added 1d ago
New 10h ago
Distinguished Software Engineer, Data Platform
Saviynt·Milpitas, California
Job functions:
$300k - $320k/yr
Job Description
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Our platform serves hundreds of enterprise and government tenants, and much of the data that
powers it is still locked inside isolated, per-customer systems that our newer multi-tenant
applications cannot reach. As Distinguished Engineer, Data Platform, you will own the end-to-end
vision, architecture, and execution for solving this at the highest level: a single, governed data
platform that ingests data out of legacy per-tenant systems in real time, transforms and serves it
through one shared, multi-tenant layer, and lets every consuming application — operational,
analytical, and AI-driven — build on it through standard, self-service access rather than one-off
integrations. This is a multi-year, org-wide mandate. You will set the technical direction that other
principal and senior engineers build against, defend it in front of executive and security stakeholders,
and see it through from first proof point to company-wide standard.
What You Will Be Doing
Multi-Tenant Data Platform Architecture & Vision
to serve the entire portfolio.
- Own the long-term architectural vision for unifying data spread across hundreds of isolated,
- Define the target end-state architecture — ingestion, transformation, storage, and access —
to serve the entire portfolio.
- Set the technical standards — schema governance, data contracts, tenant isolation models —
Real-Time Data Movement; Integration
to re-architect.
- Architect a real-time data-replication strategy that moves data out of legacy, single-tenant
to re-architect.
- Design the underlying streaming and integration backbone as a shared, multi-tenant, multi-
- Define the long-term path toward bidirectional integration, so applications can eventually act
Common Data Platform: Ingestion, Transformation & Governed Access
- Design a layered data architecture — raw ingestion, domain-specific transformation, and a
- Build a unified data access layer, supporting both synchronous and asynchronous consumption, that enforces authorization and eliminates direct, ungoverned access to underlying datastores.
Multi-Tenant Consumption at Scale
- Enable every current and future consuming application — operational, analytical, and AI driven — to onboard onto the platform through standard, self-service integration paths.
- Extend the platform's governed data layer to serve as the foundation for machine-learning and generative-AI use cases, not just reporting and analytics.
- Establish per-tenant cost visibility and quota governance so the platform scales economically as consumption grows across teams and tenants.
Observability, Governance & Compliance
- Build observability, lineage, and data-quality guarantees into the platform itself, so pipeline
- Partner with security and compliance stakeholders to design tenant-isolation and audit controls that hold up under the most stringent enterprise and government scrutiny.
- Guide the long-term modernization of adjacent, high-cost data infrastructure as part of the same overall data strategy.
Technical Leadership & Organizational Influence
- Serve as the most senior technical authority on data architecture across the engineering
- Translate deep technical tradeoffs into clear, executive-ready recommendations, and build
- Mentor senior and principal engineers across the organization and raise the overall bar for
What You Bring
2-3 years of experience as a Distinguished Engineer in distributed systems and data engineering, including a track record of setting data architecture direction at an org-wide, multi-year level.
- Deep, hands-on expertise with distributed database engines that support mixed transactional and analytical workloads at scale — internal architecture, benchmarking methodology, and real production trade-offs, not just theoretical familiarity.
- Proven experience architecting real-time data-replication and streaming pipelines at scale, including schema evolution, delivery-guarantee tradeoffs, and multi-consumer fan-out.
- Strong background in multi-tenant SaaS data architecture: tenant isolation models, per-tenant routing, and governed, self-service data access patterns.
- Experience modernizing large-scale data infrastructure — search, logging, or observability — including cost optimization at scale.
- Track record of running rigorous, benchmark-backed build-vs-buy evaluations and defending the resulting recommendations to executive and security stakeholders.
- Comfortable operating across multiple cloud providers and translating platform decisions into cost and compliance outcomes.
$300,000 - $320,000 a year
We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $300,000 - $320,000 annually.
You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!
Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Saviynt
Distinguished Software Engineer, Data Platform
Milpitas, California
New 10h ago
Job functions:
$300k - $320k/yr
Job Description
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Our platform serves hundreds of enterprise and government tenants, and much of the data that
powers it is still locked inside isolated, per-customer systems that our newer multi-tenant
applications cannot reach. As Distinguished Engineer, Data Platform, you will own the end-to-end
vision, architecture, and execution for solving this at the highest level: a single, governed data
platform that ingests data out of legacy per-tenant systems in real time, transforms and serves it
through one shared, multi-tenant layer, and lets every consuming application — operational,
analytical, and AI-driven — build on it through standard, self-service access rather than one-off
integrations. This is a multi-year, org-wide mandate. You will set the technical direction that other
principal and senior engineers build against, defend it in front of executive and security stakeholders,
and see it through from first proof point to company-wide standard.
What You Will Be Doing
Multi-Tenant Data Platform Architecture & Vision
to serve the entire portfolio.
- Own the long-term architectural vision for unifying data spread across hundreds of isolated,
- Define the target end-state architecture — ingestion, transformation, storage, and access —
to serve the entire portfolio.
- Set the technical standards — schema governance, data contracts, tenant isolation models —
Real-Time Data Movement; Integration
to re-architect.
- Architect a real-time data-replication strategy that moves data out of legacy, single-tenant
to re-architect.
- Design the underlying streaming and integration backbone as a shared, multi-tenant, multi-
- Define the long-term path toward bidirectional integration, so applications can eventually act
Common Data Platform: Ingestion, Transformation & Governed Access
- Design a layered data architecture — raw ingestion, domain-specific transformation, and a
- Build a unified data access layer, supporting both synchronous and asynchronous consumption, that enforces authorization and eliminates direct, ungoverned access to underlying datastores.
Multi-Tenant Consumption at Scale
- Enable every current and future consuming application — operational, analytical, and AI driven — to onboard onto the platform through standard, self-service integration paths.
- Extend the platform's governed data layer to serve as the foundation for machine-learning and generative-AI use cases, not just reporting and analytics.
- Establish per-tenant cost visibility and quota governance so the platform scales economically as consumption grows across teams and tenants.
Observability, Governance & Compliance
- Build observability, lineage, and data-quality guarantees into the platform itself, so pipeline
- Partner with security and compliance stakeholders to design tenant-isolation and audit controls that hold up under the most stringent enterprise and government scrutiny.
- Guide the long-term modernization of adjacent, high-cost data infrastructure as part of the same overall data strategy.
Technical Leadership & Organizational Influence
- Serve as the most senior technical authority on data architecture across the engineering
- Translate deep technical tradeoffs into clear, executive-ready recommendations, and build
- Mentor senior and principal engineers across the organization and raise the overall bar for
What You Bring
2-3 years of experience as a Distinguished Engineer in distributed systems and data engineering, including a track record of setting data architecture direction at an org-wide, multi-year level.
- Deep, hands-on expertise with distributed database engines that support mixed transactional and analytical workloads at scale — internal architecture, benchmarking methodology, and real production trade-offs, not just theoretical familiarity.
- Proven experience architecting real-time data-replication and streaming pipelines at scale, including schema evolution, delivery-guarantee tradeoffs, and multi-consumer fan-out.
- Strong background in multi-tenant SaaS data architecture: tenant isolation models, per-tenant routing, and governed, self-service data access patterns.
- Experience modernizing large-scale data infrastructure — search, logging, or observability — including cost optimization at scale.
- Track record of running rigorous, benchmark-backed build-vs-buy evaluations and defending the resulting recommendations to executive and security stakeholders.
- Comfortable operating across multiple cloud providers and translating platform decisions into cost and compliance outcomes.
$300,000 - $320,000 a year
We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $300,000 - $320,000 annually.
You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):
> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!
Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 579+ Platform Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Platform Engineer JobsPlatform Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
San Diego
21 jobsIrvine
9 jobsRedwood City
9 jobsFremont
8 jobsFoster City
8 jobsSan Francisco Bay Area
8 jobsMilpitas
6 jobsBerkeley
5 jobsHawthorne
5 jobsRedlands
4 jobsTorrance
3 jobsSanta Ana
3 jobsMenlo Park
3 jobsSanta Monica
3 jobsAlameda
2 jobsOakland
2 jobsCampbell
2 jobsBrea
1 jobArcata
1 jobFresno
1 jobNovato
1 jobAnaheim
1 jobOntario
1 jobVentura
1 jobCarlsbad
1 jobSaratoga
1 jobFullerton
1 jobLa Mirada
1 jobLos Altos
1 jobLos Gatos
1 jobOceanside
1 jobRoseville
1 jobBurlingame
1 jobEl Segundo
1 jobLong Beach
1 jobPleasanton
1 jobSan Carlos
1 jobSanta Cruz
1 jobBakersfield
1 jobCulver City
1 jobLake Forest
1 jobSan Leandro
1 jobHeadquarters
1 jobPromontory B
1 jobWalnut Creek
1 jobBeverly Hills
1 jobNewport Beach
1 jobSilicon Valley
1 jobCalifornia City
1 jobManhattan Beach
1 jobSan Luis Obispo
1 jobHuntington Beach
1 jobSouth San Francisco
1 jobPlatform Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple40
- Google17
- NVIDIA17
- TikTok15
- Speechify15
Top Industries Hiring
- Technology & Software132
- Electronics & Hardware33
- Science & Research15
- Banking & Financial Services12
- Insurance8
What California Employers Look For
The qualifications that appear most often in platform engineer jobs across California.
- Hands-on experience with Kubernetes, Docker, and container orchestration in production environments
- Proficiency in cloud platforms such as AWS, Google Cloud, or Azure with infrastructure-as-code tooling
- Experience building or maintaining internal developer platforms and CI/CD pipelines
- Strong programming or scripting ability in Python, Go, or Bash for infrastructure automation
- Familiarity with observability tooling including Prometheus, Grafana, or OpenTelemetry
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Platform Engineer Jobs in California: Frequently Asked Questions
How do you become a platform engineer in California?
Platform engineering has no state-issued license in California, so the path runs through education and demonstrated technical skill. Most California employers expect a bachelor's degree in computer science, software engineering, or a related field, though a strong portfolio of infrastructure projects can substitute. Building hands-on experience with cloud platforms, container orchestration, and CI/CD pipelines, then contributing to open-source infrastructure projects, is the most direct route into California's competitive tech market.
Which companies hire platform engineers in California?
Employers hiring platform engineers in California right now include Apple, Google, and NVIDIA, based on current listings on Migrate Mate as of August 2026. California's density of technology headquarters and large enterprise engineering organizations means platform engineering roles appear across a wide range of company sizes, from major cloud-native firms in the Bay Area to established media and financial services companies in Los Angeles.
Which California cities have the most platform engineer jobs?
San Francisco, San Jose, and Santa Clara have the most platform engineer openings in California. The San Francisco Bay Area leads because of its concentration of cloud-native technology companies and enterprise software headquarters, while Los Angeles and San Diego reflect growing investment in enterprise engineering, defense technology, and media infrastructure that increasingly depends on dedicated platform teams.
Are there remote platform engineer jobs in California?
Yes, and more than most fields. About 57% of platform engineer openings tied to California are remote or hybrid as of August 2026, reflecting how well infrastructure and tooling work translates to distributed teams. The most remote-friendly parts of the role tend to be cloud automation, CI/CD pipeline maintenance, and internal developer tooling, while on-call infrastructure support and platform architecture reviews often favor hybrid arrangements.
How can I get hired as a platform engineer in California with little or no experience?
The most realistic entry path is through a site reliability engineering (SRE) associate or junior DevOps role, which large California technology employers like Cisco, Oracle, and Intuit use as a pipeline into platform engineering teams. Building a public portfolio of infrastructure-as-code projects on GitHub, earning cloud certifications from AWS or Google Cloud, and contributing to open-source Kubernetes or platform tooling projects are the credentials that differentiate early-career candidates in California's competitive market.
Where can I find and apply to platform engineer jobs in California?
You can find and apply to platform engineer jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Find roles that fit your background and apply directly to the ones that match.
See All 579+ Platform Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Platform Engineer JobsRelated Jobs in California
Solutions Architect JobsCalifornia
Solution Engineer JobsCalifornia
Infrastructure Platform Engineer JobsCalifornia
Senior Software Developer JobsCalifornia
Genai Software Engineer JobsCalifornia
Embedded JobsCalifornia
Software Design Engineer JobsCalifornia
iOS Developer JobsCalifornia
Application Engineer JobsCalifornia