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Asynchronous Jobs in California (NOW HIRING)

Expertise in Enterprise Java or any other server/client architectures with asynchronous or non-blocking request/response * Working knowledge of JDBC and data modeling. * Working knowledge of Splunk ...

Junior Node JS Developer

San Jose, CA

$78.50K - $102K/yr

Solid understanding of asynchronous programming Experience with production level concerns like clustering, monitoring etc. Experience with the following will be a plus: MongoDb or any other popular ...

... Asynchronous JavaScript and XML (Ajax), Representational State Transfer (REST), Javascript Object Notation (JSON) At least 1 year experience in development role including SQL quieries and Stored ...

... asynchronous processing pipelines for long-running lending operations. • Own the core platform primitives -- multi-tenancy and tenant-aware routing, authentication and authorization, caching ...

New

AI Engineer

San Jose, CA

$160K - $180K/yr

You'll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to ...

... asynchronous processing pipelines for long-running lending operations. • Own the core platform primitives -- multi-tenancy and tenant-aware routing, authentication and authorization, caching ...

New

You'll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to ...

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Showing results 1-20

Asynchronous information

See California salary details

$5

$15

$30

How much do asynchronous jobs pay per hour?

As of May 29, 2026, the average hourly pay for asynchronous in California is $15.09, according to ZipRecruiter salary data. Most workers in this role earn between $10.19 and $17.07 per hour, depending on experience, location, and employer.

What is an Asynchronous job?

An asynchronous job is a task or process that runs independently of the main program flow, allowing the system to continue executing other tasks without waiting for completion. This approach is commonly used in programming, networking, and distributed systems to improve efficiency and responsiveness. Asynchronous jobs are often handled through callbacks, promises, or background processing, depending on the technology being used.

What are the key skills and qualifications needed to thrive as an Asynchronous Software Engineer, and why are they important?

To thrive as an Asynchronous Software Engineer, you need a solid understanding of concurrent programming, event-driven architectures, and computer science fundamentals, typically backed by a degree in computer science or related field. Familiarity with technical tools such as Node.js, Python's asyncio, message queues, and distributed systems is essential, along with experience using version control systems like Git. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating across teams and debugging complex asynchronous code. These capabilities enable reliable, scalable software solutions and ensure efficient development in environments that rely on non-blocking operations.

How do professionals in asynchronous roles effectively manage communication and collaboration across different time zones?

Professionals working in asynchronous roles often collaborate with colleagues or clients in various time zones, which makes clear and organized communication essential. To manage this, they rely heavily on written updates, shared documentation, and project management tools to ensure everyone stays informed and aligned. Setting expectations around response times and using overlapping hours for critical discussions can help minimize misunderstandings. Additionally, maintaining detailed records of decisions and progress helps keep the team coordinated, even when direct interaction is limited.

What are asynchronous jobs?

Asynchronous jobs refer to tasks or processes that are executed independently of the main program flow, allowing other operations to continue without waiting for the task to complete. In computing, asynchronous jobs are often used to improve efficiency and responsiveness, especially in web development, data processing, and software engineering. These jobs run in the background and typically notify the main program when their execution is complete. Common examples include sending emails, processing large files, or making network requests without blocking the user interface.

What is the difference between Asynchronous vs Synchronous Developer?

AspectAsynchronous DeveloperSynchronous Developer
Work StyleHandles multiple tasks concurrently, non-blocking operationsExecutes tasks sequentially, blocking until completion
CommunicationOften works independently, with event-driven communicationRequires immediate, step-by-step collaboration
Common UsageWeb development, APIs, real-time applicationsDesktop apps, traditional software processes

Asynchronous developers focus on non-blocking, concurrent operations, ideal for real-time and scalable applications. Synchronous developers work sequentially, suitable for tasks requiring step-by-step processing. Understanding these differences helps employers and developers choose the right approach for their projects.

More about Asynchronous jobs
What are the most commonly searched types of Asynchronous jobs in California? The most popular types of Asynchronous jobs in California are:
What job categories do people searching Asynchronous jobs in California look for? The top searched job categories for Asynchronous jobs in California are:
What cities in California are hiring for Asynchronous jobs? Cities in California with the most Asynchronous job openings:
Infographic showing various Asynchronous job openings in California as of May 2026, with employment types broken down into 59% Full Time, 33% Part Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $31,391 per year, or $15.1 per hour.
Sr. Data Architect, Large Scale Distributed Systems

Sr. Data Architect, Large Scale Distributed Systems

Emerging Threats Pro

Sunnyvale, CA

$79 - $105.75/hr

Full-time

Posted 17 days ago


Job description

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Role Overview

We are seeking an experienced Senior Architect to lead the design and evolution of enterprise-scale distributed systems supporting 50M+ connected sensors and high-volume event processing pipelines.

This role is critical to building and operating mission-critical backend platforms that process millions of events per second across both synchronous and asynchronous architectures, with stringent requirements for scalability, reliability, security, and performance.

The ideal candidate brings a proven track record of architecting and scaling production-grade systems at extreme scale, along with the ability to drive technical strategy, governance, and cross-functional alignment in a complex enterprise environment.

Key Responsibilities

Architecture & System Design

  • Define and lead the architecture of large-scale distributed systems capable of ingesting and processing high-velocity data streams from 50M+ sensors
  • Design resilient systems across synchronous (API-driven) and asynchronous (event-driven, streaming) paradigms
  • Establish architectural standards for scalability, fault tolerance, and performance optimization

Data Platform Engineering

  • Architect real-time and batch data pipelines for high-throughput ingestion, transformation, and storage
  • Drive design decisions across streaming, processing, and storage layers to ensure optimal performance and cost efficiency
  • Enable support for time-series, event-driven, and analytical workloads

Technology Strategy & Governance

  • Define and enforce enterprise architecture principles, standards, and best practices
  • Evaluate and guide adoption of modern data technologies, including:
    • Distributed messaging systems (e.g., Kafka, Pulsar)
    • Scalable data stores (e.g., Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch)
    • Stream and batch processing frameworks (e.g., Flink, Spark, Beam)
  • Ensure alignment with security, compliance, and data governance requirements

Scalability, Reliability & Observability

  • Establish and operationalize SLAs, SLOs, and error budgets
  • Design for high availability, multi-region resilience, and disaster recovery
  • Implement enterprise-grade observability frameworks (monitoring, logging, tracing)

Leadership & Collaboration

  • Partner with engineering, product, security, and data teams to align architecture with organizational objectives
  • Provide technical leadership, mentorship, and architectural oversight across multiple teams
  • Lead design reviews and ensure adherence to architectural standards

Required Qualifications

Experience

  • 10+ years of experience in distributed systems and backend architecture
  • Demonstrated success in scaling systems to:
    • 50M+ connected devices/sensors, or
    • Comparable high-scale environments (e.g., IoT, telecom, fintech, ad-tech, infrastructure platforms)
  • Proven experience with high-throughput event-driven architectures in production environments

Technical Expertise

  • Deep understanding of distributed systems concepts, including:
    • CAP theorem, consistency models, and trade-offs
    • Partitioning, replication, and sharding strategies
    • Event delivery semantics (at-least-once, exactly-once, idempotency)
  • Strong experience with:
    • Streaming and messaging systems (Kafka, Pulsar, or equivalent)
    • Real-time and batch processing frameworks
    • Scalable NoSQL and analytical data stores

System Design & Engineering

  • Expertise in designing:
    • Low-latency, high-throughput APIs
    • Event-driven and asynchronous processing systems
    • Multi-region, highly available architectures
  • Strong programming proficiency in one or more of: Go, Java, Scala, or Rust

Preferred Qualifications

  • Experience with large-scale IoT or telemetry platforms
  • Familiarity with edge-to-cloud architectures
  • Experience operating in multi-cloud or hybrid environments
  • Knowledge of enterprise security frameworks, data governance, and compliance (e.g., SOC2, ISO, GDPR)
  • Exposure to AI/ML data pipelines and large-scale analytics platforms

Success Metrics

  • Architecture supports billions of daily events with consistent performance and reliability
  • Systems demonstrate horizontal scalability and fault isolation
  • Clear separation and optimization of real-time vs batch workloads
  • Strong adherence to enterprise architecture and governance standards

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:

  • Competitive compensation

  • Comprehensive benefits

  • Career success on your terms

  • Flexible work environment

  • Annual wellness and community outreach days

  • Always on recognition for your contributions

  • Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.

How to Apply

Interested? Submit your application along with any supporting information- we can't wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges:

SF Bay Area, New York City Metro Area:

Base Pay Range: 254,000.00 - 349,250.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:

Base Pay Range: 208,800.00 - 287,100.00 USD

All other cities and states excluding those listed above:

Base Pay Range: 187,000.00 - 257,180.00 USD