Data Infrastructure Engineer Jobs in California
Data Infrastructure Engineer jobs in California are among the most active in the country, concentrated in cloud computing, enterprise software, fintech, and streaming media, with openings at every level from associate infrastructure engineer through principal and staff engineer. The largest hiring metros are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Salesforce maintain major engineering operations. The most in-demand specialties right now are distributed systems, cloud-native pipeline architecture, and Kubernetes-based infrastructure. Find a role that fits below and apply directly.
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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization.
IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.”
Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
Infrastructure Services is part of IS&T and the foundation of Apple's global network operations - managing data center equipment and systems to deliver compute, storage, and networking services for teams across Apple, including its internal developer community. From individual facilities to a worldwide network, Infrastructure Services ensures the technology underneath everything works without question.
Description
We are looking for passionate engineers who love building super-scalable, reliable, and high-performance systems to support one of the world’s largest cloud infrastructures. In this role, you will design, build, and operate next-generation services that power virtualized networks, computing, and storage. Operating at our global scale presents unique challenges that demand radical engineering innovations.
If you are excited about working close to the packet, optimizing line-rate forwarding pipelines from scratch, and solving complex distributed systems problems, our team is the place for you.","responsibilities":"Dataplane Architecture & Development: Design, implement, and optimize high-throughput, ultra-low-latency packet processing systems, forwarding engines, and overlay network services (e.g., VXLAN, Geneve, NAT, Load Balancing).
System Design & High-Performance Coding: Build modular, resilient, and performant systems leveraging efficient data structures, lock-free concurrency, and hardware/software acceleration.
Control Plane Integration: Collaborate closely with control plane and distributed systems teams to build clean, performant APIs (gRPC, REST) for state distribution and policy enforcement.
Operational Excellence & Incident Triage: Maintain line-of-sight on production health; debug live incidents using packet captures, telemetry, metrics, and logs to identify root cause and implement long-term mitigations.
Automation & Delivery: Utilize modern CI/CD, Git workflows, and configuration management tools to reliably deliver software against bold deadlines.
Preferred Qualifications
8+ years experience with kernel-bypass/accelerated packet processing technologies (e.g., DPDK, XDP, eBPF, VPP, OVS or P4).
BS or MS in Computer Science or equivalent experience.
Familiarity with hardware offload architectures (SmartNICs, ASICs) and network virtualization.
Hands-on experience developing large-scale distributed cloud infrastructure services.
Minimum Qualifications
Strong proficiency in systems programming languages such as C++, Go, or C (experience with Java or modern scripting languages like Python is also valued).
Solid foundation in Computer Science fundamentals: advanced data structures, algorithms, memory management, and concurrency.
Deep knowledge of Networking Fundamentals & Dataplane internals: L2-L4 protocols, TCP/IP stack behavior, packet framing/encapsulation, routing, MTU/MSS, flow tables, and QoS/traffic shaping.
Experience with source control (Git) and modern build/configuration management tools.
Experience designing and optimizing scalable network data plane components, packet forwarding paths, or kernel/userspace networking subsystems.
Understanding of microservice architectures, asynchronous communication, and API design (REST, gRPC, Protobuf).
Proven ability to analyze and debug complex live production incidents under pressure using metrics, traces, and system logs.
Strong communication and cross-functional collaboration skills with the drive to take ownership and lead projects to closure.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Where California roles are concentrated, by current openings.
Data Infrastructure Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software11
- Electronics & Hardware5
- Science & Research3
- Automotive1
- Artificial Intelligence1
What California Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs across California.
- Bachelor's degree in computer science, computer engineering, or a related technical field
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Proficiency building and maintaining large-scale distributed data pipelines and storage systems
- Strong command of infrastructure-as-code tools including Terraform, Ansible, or Pulumi
- Experience with containerization and orchestration technologies, particularly Kubernetes and Docker
- Familiarity with streaming and batch processing frameworks such as Apache Kafka or Apache Spark
Data Infrastructure Engineer Jobs in California: Frequently Asked Questions
How do you become a data infrastructure engineer in California?
Most California employers expect a bachelor's degree in computer science, information systems, or a closely related engineering discipline as the baseline. There is no state-issued license required to work as a data infrastructure engineer in California. From there, the practical path is building cloud and distributed systems skills, earning vendor certifications such as the Google Professional Data Engineer or AWS Certified Data Analytics credential, and gaining hands-on experience through internships, open-source contributions, or roles at California's dense concentration of cloud-focused tech companies.
How much do data infrastructure engineers make in California?
Data infrastructure engineers in California earn a median of about $170,160 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,200 for the lowest 10% to over $227,900 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data infrastructure engineers in California?
Employers hiring data infrastructure engineers in California right now include OpenAI, Meta, and ByteDance, based on current listings on Migrate Mate as of September 2026. California's outsized concentration of cloud, enterprise software, and media-tech companies makes it one of the deepest markets in the country for this role.
Which California cities have the most data infrastructure engineer jobs?
San Francisco, San Jose, and Sunnyvale have the most data infrastructure engineer openings in California. The Bay Area's density of cloud and enterprise software headquarters drives the bulk of demand, while Los Angeles reflects the infrastructure needs of media, streaming, and ad-tech firms, and San Diego is home to a growing cluster of biotech and defense-adjacent data engineering teams.
Are there remote data infrastructure engineer jobs in California?
Yes, and more than most fields. About 41% of data infrastructure engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work happens through code, cloud consoles, and distributed tooling rather than on-site hardware. The most fully remote opportunities tend to center on pipeline development, infrastructure-as-code, and cloud architecture, while roles involving physical data center operations or hardware provisioning are more likely to require an on-site presence.
How can I get hired as a data infrastructure engineer in California with little or no experience?
The most realistic entry path is coming in through an adjacent systems or data role rather than applying directly to senior infrastructure positions. Associate site reliability engineer, junior data engineer, and DevOps associate titles at California's mid-size cloud and SaaS companies frequently bring in candidates without dedicated infrastructure backgrounds. Large employers like Google, Apple, and Netflix run structured university hiring programs and internships that feed directly into infrastructure teams. A portfolio of Terraform configurations, a deployed Kubernetes project on GitHub, or a completed Google Cloud or AWS associate certification gives California hiring managers a concrete reason to move forward with an entry-level candidate.
Where can I find and apply to data infrastructure engineer jobs in California?
You can find and apply to data infrastructure engineer jobs in California on Migrate Mate, which lists current openings tied to California employers and locations. Find roles that fit your experience and apply directly from the listing.
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