Mobile Engineer Jobs in California
Mobile Engineer jobs in California are among the most active in the country, with demand concentrated in consumer apps, fintech, and enterprise software across the full seniority range from junior developer to staff engineer. The largest hiring volumes are in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Apple, Google, and Salesforce maintain deep mobile engineering teams. Specialties in iOS development, Android development, and cross-platform frameworks such as React Native and Flutter see the most consistent demand. Find a role that fits below and apply directly.
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About the Role
PubMatic is seeking for a passionate Data Engineer to join our Mobile Advertising Platform engineering team. In this role, you will build highly scalable data platforms powering Mobile Programmatic Advertising, RTB bidding systems, attribution, campaign optimization, fraud detection, and real-time analytics.
You will design and implement distributed systems capable of processing billions of mobile advertising events every day including ad requests, impressions, clicks, installs, conversions, in-app events, and auction logs. You'll build both real-time event processing and large-scale batch processing systems on PubMatic's in-house data centers, leveraging modern Big Data technologies (Spark, Kafka, Hadoop), high-performance services in Go and Rust, and Generative AI to deliver intelligent analytics and automation solutions.
You'll collaborate with Product Managers, ML Engineers, Data Scientists, and Backend Engineers to build next-generation Mobile AdTech products.
What You'll Do:
- Design and build highly scalable data platforms capable of processing billions of mobile advertising events with low latency and high availability.
- Design and build ultra-low-latency, high-throughput data pipelines processing the full mobile event funnel — ad request impression click install in-app conversion event — including OpenRTB bid request/response logging, auction analytics, and win-rate/bid-landscape reporting across multiple SSPs and ad exchanges, using Kafka, Spark Streaming, and Hadoop on our in-house data centers.
- Architect real-time campaign pacing and budget delivery systems, applying bid optimization techniques so spend controls and bid strategy adjustments react to live auction signals within seconds.
- Architect and implement real-time streaming pipelines to ingest, process, and analyze billions of advertising events including impressions, clicks, installs, conversions, and in-app events.
- Build real-time event processing systems with event-time semantics, windowed aggregations, watermarking, late/out-of-order event handling, deduplication, and exactly-once or idempotent delivery guarantees across Kafka and Spark Structured Streaming.
- Design and optimize scalable ETL/ELT pipelines and data models supporting Mobile AdTech use cases such as campaign reporting, attribution, audience segmentation, fraud detection, and revenue analytics.
- Develop and tune large-scale batch processing jobs on Spark and Hadoop (HDFS/YARN) — hourly and daily aggregations, backfills, reprocessing, and data reconciliation between real-time and batch layers — with strong workflow orchestration, SLAs, and data-quality checks.
- Design large-scale Invalid Traffic (IVT) and ad fraud detection systems — click spam, install hijacking, SDK spoofing, device farms — using rules-based and ML-driven detection across billions of daily events.
- Develop high-performance backend services and data processors (Java, Go, Rust, REST APIs, JDBC) supporting DSP bidding logic, campaign management tools, and reporting APIs.
- Operate and scale data infrastructure in PubMatic's in-house data centers — Kafka, Spark, and Hadoop clusters — including capacity planning, performance tuning, storage and compute efficiency, and cost optimization on bare-metal hardware.
- Design and develop GenAI-powered agents for analytics, operations, and data enrichment using frameworks such as LangChain, LlamaIndex, LangGraph, or custom orchestration frameworks.
- Design systems that are highly available, fault tolerant, and optimized for low latency and high throughput.
- Collaborate closely with cross-functional teams to improve platform scalability, reliability, performance, and customer experience.
- Work with Product Managers to define and implement new analytics capabilities and platform features.
- Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, estimation, retrospectives, and release planning.
- Perform architecture discussions, design reviews, and peer code reviews while promoting software engineering best practices.
We'd Love for You to Have:
- 1–5+ years of professional experience in Java backend development and data engineering.
- Strong computer science fundamentals including data structures, algorithms, distributed systems, and software design principles.
- Hands-on experience developing scalable backend services using Java, REST APIs, JDBC, and relational databases.
- Strong experience building distributed real-time and batch data pipelines using Spark, Kafka, Hadoop, and SQL on on-premise / in-house data center infrastructure.
- Experience designing and optimizing large-scale analytical data platforms for Mobile AdTech using Java, Go, Rust, Spark, Kafka, and SQL. Strong understanding of real-time event processing, distributed data systems, and data warehouse architectures. Familiarity with distributed query engines, modern data lake technologies, and high-performance analytical databases (e.g., Trino, Presto, ClickHouse, Apache Iceberg, Delta Lake, or Apache Hudi) is an added advantage.
- Experience processing high-volume streaming data using Spark Streaming, Kafka Streams, or similar technologies.
- Programming proficiency in Go and/or Rust for building high-throughput, low-latency data services, event collectors, and stream processors, in addition to Java.
- Solid understanding of real-time vs. batch processing trade-offs (Lambda/Kappa architectures), event-time processing, partitioning strategies, schema evolution (Avro/Protobuf/Parquet), and data correctness at scale.
- Good understanding of data warehousing, dimensional modeling, ETL/ELT design, and distributed computing concepts.
- Excellent verbal and written communication skills.
- Strong interpersonal skills with the ability to collaborate effectively across engineering, product, and customer-facing teams.
Bonus Qualifications
Mobile AdTech Experience
Experience working with Mobile AdTech platforms or digital advertising ecosystems is highly preferred, including knowledge of:
- Direct experience with Real-Time Bidding (RTB), OpenRTB protocol, and Mobile DSP/SSP/Ad Exchange architecture.
- Familiarity with mobile SDK event tracking (impressions, clicks, installs, in-app events) and Mobile Measurement Partner (MMP) integrations.
- Understanding of attribution methodologies (click-through, view-through, multi-touch-based attribution).
- Knowledge of mobile identity solutions (IDFA, GAID, IDFV) and the privacy landscape driving their deprecation.
- Experience with campaign pacing, bid optimization, and budget delivery algorithms.
- Background in ad fraud/IVT detection — click spam, install fraud, SDK spoofing.
Generative AI Experience
Experience building production-grade GenAI applications including:
- LLM integration (OpenAI, Anthropic, Claude, Gemini, Mistral, Cohere, etc.)
- LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks
- Prompt engineering and prompt optimization
- AI evaluation and observability
- AI agents and workflow automation
Additional Preferred Skills
- Experience building scalable, production-grade AI or data platforms.
- Strong SQL optimization and query performance tuning skills.
- Experience running Big Data platforms on-premise — managing Kafka, Spark, and Hadoop/HDFS clusters, capacity planning, and hardware-aware performance tuning in a private data center environment.
- Experience with CI/CD pipelines, Docker, Kubernetes, and containerized application deployment on bare-metal / in-house data center infrastructure.
- Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or similar.
- Strong debugging and troubleshooting skills in distributed environments.
- Demonstrated ability to achieve stretch goals in a fast-paced, highly collaborative engineering environment.
- Ability to learn new technologies quickly and independently.
Why Join Us?
- Work on high-scale data infrastructure processing billions of mobile advertising events every day, directly impacting publisher revenue, DSP spend, and advertiser outcomes across the in-app advertising ecosystem.
- Help shape the future of real-time analytics, attribution, campaign pacing, fraud/IVT detection, and GenAI-powered automation for mobile app monetization.
- Build modern data platforms with Spark, Kafka, Hadoop, Go, and Rust on PubMatic's in-house data centers at internet scale, with low latency and high availability.
- Collaborate with industry-leading engineers, product managers, data scientists, ML engineers, DSP partners, and publisher teams.
- Competitive compensation, performance-based incentives, and strong career growth opportunities in a globally recognized AdTech company.
AI-Enabled Engineering Mindset
We value engineers who actively leverage Generative AI tools and IDEs (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf) to accelerate development, improve code and data quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking — using these tools to drive faster experimentation, ideation, and technical execution — will thrive in our high-scale, data-intensive environment.
Qualification:
Should have a bachelor's degree in engineering or an equivalent degree from a well-known institute/university.
Additional Information:
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we're back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.
Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
About the Role
PubMatic is seeking for a passionate Data Engineer to join our Mobile Advertising Platform engineering team. In this role, you will build highly scalable data platforms powering Mobile Programmatic Advertising, RTB bidding systems, attribution, campaign optimization, fraud detection, and real-time analytics.
You will design and implement distributed systems capable of processing billions of mobile advertising events every day including ad requests, impressions, clicks, installs, conversions, in-app events, and auction logs. You'll build both real-time event processing and large-scale batch processing systems on PubMatic's in-house data centers, leveraging modern Big Data technologies (Spark, Kafka, Hadoop), high-performance services in Go and Rust, and Generative AI to deliver intelligent analytics and automation solutions.
You'll collaborate with Product Managers, ML Engineers, Data Scientists, and Backend Engineers to build next-generation Mobile AdTech products.
What You'll Do:
- Design and build highly scalable data platforms capable of processing billions of mobile advertising events with low latency and high availability.
- Design and build ultra-low-latency, high-throughput data pipelines processing the full mobile event funnel — ad request impression click install in-app conversion event — including OpenRTB bid request/response logging, auction analytics, and win-rate/bid-landscape reporting across multiple SSPs and ad exchanges, using Kafka, Spark Streaming, and Hadoop on our in-house data centers.
- Architect real-time campaign pacing and budget delivery systems, applying bid optimization techniques so spend controls and bid strategy adjustments react to live auction signals within seconds.
- Architect and implement real-time streaming pipelines to ingest, process, and analyze billions of advertising events including impressions, clicks, installs, conversions, and in-app events.
- Build real-time event processing systems with event-time semantics, windowed aggregations, watermarking, late/out-of-order event handling, deduplication, and exactly-once or idempotent delivery guarantees across Kafka and Spark Structured Streaming.
- Design and optimize scalable ETL/ELT pipelines and data models supporting Mobile AdTech use cases such as campaign reporting, attribution, audience segmentation, fraud detection, and revenue analytics.
- Develop and tune large-scale batch processing jobs on Spark and Hadoop (HDFS/YARN) — hourly and daily aggregations, backfills, reprocessing, and data reconciliation between real-time and batch layers — with strong workflow orchestration, SLAs, and data-quality checks.
- Design large-scale Invalid Traffic (IVT) and ad fraud detection systems — click spam, install hijacking, SDK spoofing, device farms — using rules-based and ML-driven detection across billions of daily events.
- Develop high-performance backend services and data processors (Java, Go, Rust, REST APIs, JDBC) supporting DSP bidding logic, campaign management tools, and reporting APIs.
- Operate and scale data infrastructure in PubMatic's in-house data centers — Kafka, Spark, and Hadoop clusters — including capacity planning, performance tuning, storage and compute efficiency, and cost optimization on bare-metal hardware.
- Design and develop GenAI-powered agents for analytics, operations, and data enrichment using frameworks such as LangChain, LlamaIndex, LangGraph, or custom orchestration frameworks.
- Design systems that are highly available, fault tolerant, and optimized for low latency and high throughput.
- Collaborate closely with cross-functional teams to improve platform scalability, reliability, performance, and customer experience.
- Work with Product Managers to define and implement new analytics capabilities and platform features.
- Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, estimation, retrospectives, and release planning.
- Perform architecture discussions, design reviews, and peer code reviews while promoting software engineering best practices.
We'd Love for You to Have:
- 1–5+ years of professional experience in Java backend development and data engineering.
- Strong computer science fundamentals including data structures, algorithms, distributed systems, and software design principles.
- Hands-on experience developing scalable backend services using Java, REST APIs, JDBC, and relational databases.
- Strong experience building distributed real-time and batch data pipelines using Spark, Kafka, Hadoop, and SQL on on-premise / in-house data center infrastructure.
- Experience designing and optimizing large-scale analytical data platforms for Mobile AdTech using Java, Go, Rust, Spark, Kafka, and SQL. Strong understanding of real-time event processing, distributed data systems, and data warehouse architectures. Familiarity with distributed query engines, modern data lake technologies, and high-performance analytical databases (e.g., Trino, Presto, ClickHouse, Apache Iceberg, Delta Lake, or Apache Hudi) is an added advantage.
- Experience processing high-volume streaming data using Spark Streaming, Kafka Streams, or similar technologies.
- Programming proficiency in Go and/or Rust for building high-throughput, low-latency data services, event collectors, and stream processors, in addition to Java.
- Solid understanding of real-time vs. batch processing trade-offs (Lambda/Kappa architectures), event-time processing, partitioning strategies, schema evolution (Avro/Protobuf/Parquet), and data correctness at scale.
- Good understanding of data warehousing, dimensional modeling, ETL/ELT design, and distributed computing concepts.
- Excellent verbal and written communication skills.
- Strong interpersonal skills with the ability to collaborate effectively across engineering, product, and customer-facing teams.
Bonus Qualifications
Mobile AdTech Experience
Experience working with Mobile AdTech platforms or digital advertising ecosystems is highly preferred, including knowledge of:
- Direct experience with Real-Time Bidding (RTB), OpenRTB protocol, and Mobile DSP/SSP/Ad Exchange architecture.
- Familiarity with mobile SDK event tracking (impressions, clicks, installs, in-app events) and Mobile Measurement Partner (MMP) integrations.
- Understanding of attribution methodologies (click-through, view-through, multi-touch-based attribution).
- Knowledge of mobile identity solutions (IDFA, GAID, IDFV) and the privacy landscape driving their deprecation.
- Experience with campaign pacing, bid optimization, and budget delivery algorithms.
- Background in ad fraud/IVT detection — click spam, install fraud, SDK spoofing.
Generative AI Experience
Experience building production-grade GenAI applications including:
- LLM integration (OpenAI, Anthropic, Claude, Gemini, Mistral, Cohere, etc.)
- LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks
- Prompt engineering and prompt optimization
- AI evaluation and observability
- AI agents and workflow automation
Additional Preferred Skills
- Experience building scalable, production-grade AI or data platforms.
- Strong SQL optimization and query performance tuning skills.
- Experience running Big Data platforms on-premise — managing Kafka, Spark, and Hadoop/HDFS clusters, capacity planning, and hardware-aware performance tuning in a private data center environment.
- Experience with CI/CD pipelines, Docker, Kubernetes, and containerized application deployment on bare-metal / in-house data center infrastructure.
- Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or similar.
- Strong debugging and troubleshooting skills in distributed environments.
- Demonstrated ability to achieve stretch goals in a fast-paced, highly collaborative engineering environment.
- Ability to learn new technologies quickly and independently.
Why Join Us?
- Work on high-scale data infrastructure processing billions of mobile advertising events every day, directly impacting publisher revenue, DSP spend, and advertiser outcomes across the in-app advertising ecosystem.
- Help shape the future of real-time analytics, attribution, campaign pacing, fraud/IVT detection, and GenAI-powered automation for mobile app monetization.
- Build modern data platforms with Spark, Kafka, Hadoop, Go, and Rust on PubMatic's in-house data centers at internet scale, with low latency and high availability.
- Collaborate with industry-leading engineers, product managers, data scientists, ML engineers, DSP partners, and publisher teams.
- Competitive compensation, performance-based incentives, and strong career growth opportunities in a globally recognized AdTech company.
AI-Enabled Engineering Mindset
We value engineers who actively leverage Generative AI tools and IDEs (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf) to accelerate development, improve code and data quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking — using these tools to drive faster experimentation, ideation, and technical execution — will thrive in our high-scale, data-intensive environment.
Qualification:
Should have a bachelor's degree in engineering or an equivalent degree from a well-known institute/university.
Additional Information:
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we're back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.
Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
See All 83 Mobile Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Mobile Engineer JobsMobile Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Mobile Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software10
- Consulting & Professional Services3
- Retail2
- Staffing & Recruiting2
- Manufacturing1
What California Employers Look For
The qualifications that appear most often in mobile engineer jobs across California.
- Proficiency in Swift or Kotlin with published apps in the App Store or Google Play
- Bachelor's degree in computer science, software engineering, or a related technical field
- Experience building and shipping native iOS or Android applications in a professional setting
- Familiarity with RESTful APIs, JSON, and integrating third-party SDKs into mobile applications
- Knowledge of mobile UI and UX principles, accessibility standards, and responsive design patterns
- Experience with version control using Git and agile or scrum development workflows
Mobile Engineer Jobs in California: Frequently Asked Questions
How do you become a mobile engineer in California?
Mobile engineering in California has no state-issued license or board registration requirement, so the path runs through education and demonstrated work. Most California employers expect at minimum a bachelor's degree in computer science or software engineering, though candidates who have built and shipped real apps sometimes move in from coding bootcamps or self-directed study. A portfolio of published iOS or Android applications carries significant weight with California hiring teams.
Which companies hire mobile engineers in California?
Employers hiring mobile engineers in California right now include CBRE, Google, and MiniMed, based on current listings on Migrate Mate as of November 2026. California's concentration of consumer technology, streaming media, and enterprise software companies means mobile engineering roles appear across both large platform businesses and well-funded startups throughout the Bay Area and Los Angeles.
Which California cities have the most mobile engineer jobs?
San Francisco, Palo Alto, and San Diego account for the greatest share of mobile engineer openings in California. The Bay Area leads because of its density of consumer technology and enterprise software headquarters, while Los Angeles reflects growth in streaming, entertainment tech, and fintech, and San Diego draws from its established base of wireless technology and defense-adjacent software companies.
Are there remote mobile engineer jobs in California?
Yes, and more than most fields. About 55% of mobile engineer openings tied to California are remote or hybrid as of November 2026, reflecting how much of the work involves writing and reviewing code rather than on-site hardware or facilities. Front-end development tasks, code review, and sprint planning transfer especially well to fully distributed arrangements.
How can I get hired as a mobile engineer in California with little or no experience?
The most realistic entry path is building a portfolio of real applications and applying to junior or associate engineer roles at mid-size California technology companies that run structured new-grad programs, such as those found at enterprise software firms and consumer app companies in the Bay Area and Los Angeles. Contributing to open-source mobile projects, completing a California-based bootcamp with a mobile track, or moving laterally from a QA automation or front-end web role are the most common doors in for candidates without professional experience.
Where can I find and apply to mobile engineer jobs in California?
You can find and apply to mobile engineer jobs in California on Migrate Mate, which lists current California openings. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 83 Mobile Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Mobile Engineer Jobs