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Workato Developer Jobs in California (NOW HIRING)

Workato

Senior Instructional Designer

Palo Alto, CA

... Workato product concepts, features, and best practices through strong storytelling, learning flow, and user engagement. * Product Enablement: Collaborate with Product, Engineering, and Customer ...

Workato

Senior Solutions Architect

Palo Alto, CA

Help collect field feedback, synthesize and analyze trends, and channel insights to Product Management and Engineering for product roadmap enhancements. * Represent the Workato platform at field ...

Workato

Manager, Technical Services

Palo Alto, CA · Remote

$136K - $136K/yr

Familiarity with modern programming languages (e.g., Python, Java) and strong understanding of RESTful APIs and API development. * Hands-on experience with leading iPaaS platforms, such as Workato ...

Workato

Staff Product Manager (Evals)

Palo Alto, CA · Remote

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Work with ML engineers and platform teams to ground the framework in technical reality while ...

Workato

Staff Product Manager (Evals)

Palo Alto, CA · On-site

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Work with ML engineers and platform teams to ground the framework in technical reality while ...

Workato

Manager, Technical Services

Palo Alto, CA · On-site

$136K - $136K/yr

Familiarity with modern programming languages (e.g., Python, Java) and strong understanding of RESTful APIs and API development. * Hands-on experience with leading iPaaS platforms, such as Workato ...

Workato

Lead AI Research Scientist

San Jose, CA · On-site +1

$357K/yr

Publish peer-reviewed papers and secure patents that differentiate Workato in enterprise AI. * Partner with Product and Engineering to productionize prototypes within six months of proof of concept.

Workato

Lead AI Research Scientist

San Francisco, CA · On-site +1

$357K/yr

Publish peer-reviewed papers and secure patents that differentiate Workato in enterprise AI. * Partner with Product and Engineering to productionize prototypes within six months of proof of concept.

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Collaborate with Product & Engineering to ship research‑backed features. * Contribute to ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site

$116K - $147K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Collaborate with Product & Engineering to ship research-backed features. * Contribute to open ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Become Workato Automation Pro I, II, and III certified to create Workato recipes to facilitate data ... Engineering (any field), or a related quantitative discipline, and two (2) years of experience in ...

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$52

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How much do workato developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for workato developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What is a Workato Developer job?

A Workato Developer is responsible for designing, developing, and managing automation workflows using the Workato integration platform. They work with APIs, business applications, and cloud services to streamline processes and improve operational efficiency. Their role involves creating recipes (automated workflows), troubleshooting integration issues, and optimizing system performance. Workato Developers collaborate with business teams to understand requirements and implement scalable automation solutions.

What are the key skills and qualifications needed to thrive in the Workato Developer position, and why are they important?

To thrive as a Workato Developer, strong experience with automation, integration design, API management, and a background in software development are generally required. Proficiency in Workato’s integration platform, familiarity with REST/SOAP APIs, and relevant certifications (such as Workato Automation Pro) are highly valued. Excellent problem-solving, collaboration, and communication skills help Workato Developers work effectively with cross-functional teams and stakeholders. These skills are crucial for building seamless, scalable workflows that meet diverse business needs and drive process efficiency.

What are the typical day-to-day responsibilities of a Workato Developer?

As a Workato Developer, your daily responsibilities often include designing, building, and maintaining automated workflows between various business applications using the Workato platform. You’ll collaborate closely with business analysts, IT teams, and end-users to gather requirements, troubleshoot integration issues, and optimize existing automations. Testing and documenting recipes, monitoring system performance, and ensuring data accuracy are also key parts of the role. This position offers opportunities to contribute to process improvement and play a critical role in digital transformation initiatives within your organization.

What are the most commonly searched types of Workato Developer jobs in California? The most popular types of Workato Developer jobs in California are:
What are popular job titles related to Workato Developer jobs in California? For Workato Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Workato Developer jobs in California look for? The top searched job categories for Workato Developer jobs in California are:
What cities in California are hiring for Workato Developer jobs? Cities in California with the most Workato Developer job openings:
Workato Developer jobs near you
Infographic showing various Workato Developer job openings in California as of July 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.
Senior Software Engineer (Search / Retrieval)

Senior Software Engineer (Search / Retrieval)

Workato

Palo Alto, CA • On-site

$144K - $189K/yr

Full-time

Posted 4 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Responsibilities
We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:
  • Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources
  • Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.
  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.
  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.
  • Drive improvements in query construction, indexing and search performance
  • Be up-to-date with the latest improvements in search and indexing technologies
  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations
  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.
Requirements
Qualifications / Experience / Technical Skills
  • Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.
  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
  • Strong proficiency in Python
  • Hands-on experience with search engines (Opensearch or Elasticsearch)
  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
  • Experience with text processing, NLP, and relevance tuning
  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)
  • Experience with large-scale distributed systems
  • Strong analytical and problem-solving skills
Soft Skills / Personal Characteristics
  • Strong communication abilities to explain technical concepts
  • Collaborative mindset for cross-functional team work
  • Detail-oriented with strong focus on quality
  • Self-motivated and able to work independently
  • Passion for solving complex search problems
(REQ ID: 2272)

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