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Temporal Software Engineer Jobs in California (NOW HIRING)

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 ...

... 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 ...

New

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.

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

Staff, Software Engineer

Hayward, CA · On-site

$143K - $286K/yr

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

We are seeking a Staff Software Engineer to design and build enterprise-scale Marketplace platforms ... Direct experience building or deeply customizing platforms like Temporal.io, Cadence, Apache ...

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Temporal Software Engineer information

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 California? For Temporal Software Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Temporal Software Engineer jobs? Cities in California with the most Temporal Software Engineer job openings:
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.