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Temporal Software Engineer Jobs in Novato, CA (NOW HIRING)

Latent

Software Engineer

San Francisco, CA

Software Engineer Location: San Francisco, CA We're building the intelligence layer of American ... Kafka and Temporal. * Healthcare Integrations: Build and maintain robust integrations with ...

Scale AI

Software Engineer, Platform

San Francisco, CA · On-site

... Temporal and AWS Step Functions. • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres). • Strong knowledge of software engineering best practices and CI/CD ...

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Paradigm

Software Engineer

San Francisco, CA · On-site

$220K - $280K/yr

What we're looking for * 3+ years of experience as a software engineer. * Consistent record an ... Go, Redis, PubSub, RPC, Postgres, S3, Temporal. What we believe Our best work is done in person.

Paradigm

Senior Software Engineer

San Francisco, CA

$144K - $190K/yr

What we're looking for * 7+ years of experience as a software engineer. * Consistent record as ... Go, Redis, PubSub, RPC, Postgres, S3, Temporal. What we believe Our best work is done in person.

Paradigm

Senior Software Engineer

San Francisco, CA · On-site

$300K - $400K/yr

What we're looking for * 7+ years of experience as a software engineer. * Consistent record as ... Go, Redis, PubSub, RPC, Postgres, S3, Temporal. What we believe Our best work is done in person.

Docusign

Software Engineer

San Francisco, CA · On-site

$146K - $235K/yr

What you'll do As a Software Engineer on the AI Platform team, you will architect and build the ... Experience with stateful workflow engines or distributed task queues (e.g., Temporal) for managing ...

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Showing results 1-20

All JobsTemporal Software Engineer JobsTemporal Software Engineer Jobs in Novato, CA

Temporal Software Engineer information

See Novato, CA salary details

$74.6K

$173.2K

$241.3K

How much do temporal software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for temporal software engineer in Novato, CA is $173,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,900.00 and $203,100.00 per year, depending on experience, location, and employer.

What is the difference between Temporal Software Engineer vs Cloud Software Engineer?

AspectTemporal Software EngineerCloud Software Engineer
Required CredentialsBachelor's in CS or related, experience with Temporal SDKsBachelor's in CS or related, cloud platform certifications (AWS, Azure)
Work EnvironmentDeveloping distributed, event-driven applications using TemporalDesigning and deploying cloud-based solutions across platforms
Industry UsageTech companies implementing workflow orchestrationBroad industry use, including SaaS, enterprise, and startups
Search & Comparison IntentFocus on Temporal-specific skills and workflowsBroader cloud infrastructure and deployment skills

In summary, a Temporal Software Engineer specializes in building and maintaining workflow orchestration using Temporal, while a Cloud Software Engineer works on deploying and managing cloud-based applications across various platforms. Both roles require strong programming skills, but their focus areas differ significantly.

What is a Temporal Software Engineer?

A Temporal Software Engineer is a developer who specializes in building, maintaining, and optimizing applications using the Temporal open-source workflow orchestration platform. Temporal enables engineers to manage complex, long-running, and distributed workflows in a reliable and scalable way. Temporal Software Engineers typically design workflows, implement fault-tolerant logic, and help teams automate business processes that require reliability and durability. Their expertise ensures that workflows can recover from failures, maintain state, and handle retries without losing data or process integrity.

What are some common challenges faced by Temporal Software Engineers when designing workflows, and how can they be addressed?

Temporal Software Engineers often encounter challenges such as managing complex workflow dependencies, handling failure recovery, and ensuring workflow scalability. These challenges can be addressed by leveraging Temporal’s robust retry mechanisms, designing idempotent activities, and breaking workflows into smaller, reusable components. Collaboration with DevOps and QA teams is also crucial to ensure workflows are resilient and thoroughly tested in distributed environments.

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

To thrive as a Temporal Software Engineer, you need strong software engineering fundamentals, proficiency in distributed systems concepts, and experience with languages like Go, Java, or TypeScript. Familiarity with Temporal's workflow orchestration platform, cloud infrastructure tools, and CI/CD systems is typically expected. Excellent problem-solving, collaboration, and communication skills help in designing resilient workflows and working with cross-functional teams. These skills are crucial for building reliable, scalable solutions that leverage Temporal for complex business processes.
What are popular job titles related to Temporal Software Engineer jobs in Novato, CA? For Temporal Software Engineer jobs in Novato, CA, the most frequently searched job titles are:
What cities near Novato, CA are hiring for Temporal Software Engineer jobs? Cities near Novato, CA with the most Temporal Software Engineer job openings:
Temporal Software Engineer jobs near you
Infographic showing various Temporal Software Engineer job openings in Novato, CA as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $173,202 per year, or $83.3 per hour.
Senior Software Engineer, GenAI

Senior Software Engineer, GenAI

Scale AI

San Francisco, CA • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Senior Software Engineer will design, build, and maintain scalable systems across the full stack while collaborating with various teams to ensure data quality and operational excellence.
Responsibilities:
• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
• Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements
Qualifications:
Required:
• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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