ZipRecruiter

Log In

1

Workflow Developer Jobs in California (NOW HIRING)

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site

... workflows within a fast-paced, agile HPC development environment that utilizes EDA tools from ... Knowledge of Linux system administration and familiarity with cloud-based devops, with experience ...

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site +1

... workflows within a fast-paced, agile HPC development environment that utilizes EDA tools from ... Knowledge of Linux system administration and familiarity with cloud-based devops, with experience ...

next page

Showing results 1-20

All JobsWorkflow Developer JobsWorkflow Developer Jobs in California

Workflow Developer information

See California salary details

$16

$52

$80

How much do workflow developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for workflow 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 Workflow Developer job?

A Workflow Developer designs, builds, and optimizes automated workflows that streamline business processes. They work with tools like workflow automation platforms, low-code/no-code solutions, and scripting languages to enhance efficiency. Their responsibilities often include analyzing requirements, integrating systems, and troubleshooting workflow issues. This role requires a mix of technical skills, problem-solving abilities, and an understanding of business operations.

What does a workflow engineer do?

A workflow developer designs, implements, and manages automated processes to improve efficiency within an organization. They often use tools like BPM software and scripting languages to optimize business operations and ensure smooth task automation. Strong problem-solving skills and understanding of business processes are essential for this role.

What is the highest paying developer job?

The highest paying developer roles typically include software architects, machine learning engineers, and solutions architects, often earning six-figure salaries or higher. These positions require advanced technical skills, experience, and sometimes specialized certifications, and they often involve leadership or strategic responsibilities within organizations.

What are some typical projects or tasks a Workflow Developer works on in a company?

Workflow Developers are often tasked with mapping out existing business processes, designing and implementing automated solutions, and integrating different software systems to improve efficiency. Daily responsibilities may include collaborating with business analysts and stakeholders to understand requirements, configuring workflow engines, testing automation scripts, and troubleshooting issues. Many Workflow Developers also participate in user training and documentation to ensure smooth transitions to automated processes. This dynamic role involves cross-team collaboration and continues to evolve as new technologies and business needs arise, making each project unique and rewarding.

What does a workflow developer do?

A workflow developer designs, implements, and maintains automated processes to improve business efficiency. They analyze existing workflows, create automation scripts or tools using platforms like BPM or workflow management software, and collaborate with teams to optimize operations. Strong problem-solving skills and knowledge of scripting languages or automation tools are essential for this role.

Can I make 100k as a software developer?

Workflow developers and software developers can earn $100,000 or more annually, especially with experience, specialized skills, and working in high-demand industries or locations. Salaries vary based on factors such as location, education, certifications, and the complexity of projects handled.

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

To thrive as a Workflow Developer, you need strong analytical skills, experience in process automation, and a background in computer science or IT. Familiarity with workflow automation tools such as Nintex, UiPath, or Microsoft Power Automate, as well as certifications in these platforms, is highly beneficial. Creative problem-solving, attention to detail, and effective communication are key soft skills that enhance success in this role. These abilities allow Workflow Developers to streamline operations, collaborate with various stakeholders, and deliver efficient, scalable solutions to organizational processes.

What are the most commonly searched types of Workflow Developer jobs in California? The most popular types of Workflow Developer jobs in California are:
What are popular job titles related to Workflow Developer jobs in California? For Workflow Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Workflow Developer jobs in California look for? The top searched job categories for Workflow Developer jobs in California are:
What cities in California are hiring for Workflow Developer jobs? Cities in California with the most Workflow Developer job openings:
What are popular job titles related to Workflow Developer jobs in CA? For Workflow Developer jobs in CA, the most frequently searched job titles are:
Workflow Developer jobs near you
Senior AI Workflow & Systems Engineer

Senior AI Workflow & Systems Engineer

TubeScience

Los Angeles, CA • On-site

$110K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Senior AI Workflow & Systems Engineer
Build and run the AI infrastructure that powers every team at TubeScience.
Role: Senior AI Workflow & Systems Engineer
Location: Remote (Los Angeles based preferred)
Compensation: Remote $70,000-$120,000 | Los Angeles $110,000-$160,000
Reports to: VP of IS
Team: Information Systems
About TubeScience
TubeScience is a data-driven creative studio producing performance advertising at massive scale - and we're growing fast. We're looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. You'll sit in IT but serve everyone - owning the infrastructure, deployments, and systems that make our AI initiatives real, and unblocking every team that's building on top of them.
The Role
This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You won't just design workflows - you'll own the infrastructure they run on, keep them running reliably, and be the expert other teams call when things break or they hit a wall.
You are the architect, the deployer, the maintainer, and the unlocker - all in one. When there's no PM driving an AI initiative, you'll step in and own it end-to-end.
What You'll Own
AI Workflow Engineering
- Build and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
- Design multi-step agentic pipelines - tool use, RAG, structured outputs - built for production, not demos
- Integrate AI workflows with TubeScience's existing systems via REST APIs, webhooks, and custom integrations
- Develop automation pipelines
- Evaluate emerging AI tooling and own build-vs-buy decisions
Infrastructure & Deployment
- Own deployment and management of AI workflows and applications on Vercel and cloud platforms
- Build and maintain the infrastructure that supports TubeScience's AI initiatives - including cloud-based agents, serverless functions, and supporting services
- Design for resilience: logging, error handling, alerting, and monitoring across all deployed systems
- Manage secrets, environment configs, and deployment pipelines across environments
- Align with engineering on architecture, scalability, and infrastructure decisions
Cross-Functional Enablement
- Serve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
- Deploy, maintain, and improve departmental AI tools - owning the full lifecycle from build to production
- Debug and unstick builders across the company when they hit technical walls
- Translate team-specific business needs into precise technical requirements and actionable solutions
- Serve as final escalation for complex AI and systems issues teams can't resolve on their own
Ownership & Improvement
- Proactively audit AI systems and workflows for reliability issues, inefficiencies, and improvement opportunities
- When there's no dedicated PM on an AI initiative, step in: define the problem, scope the solution, and drive it to completion
- Prototype emerging AI tools and frameworks and bring the best ones into TubeScience's stack
- Document every system thoroughly so the company can run it confidently
What We're Looking For
Background & Experience
- 4-6+ years in software engineering, DevOps, or systems engineering - with hands-on AI/ML experience
- Strong foundation as a software, systems, or DevOps engineer who has grown into AI - not the other way around
- Proven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
- Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain, or equivalent)
- Proven REST API integration experience with solid edge-case handling
- Experience building or maintaining cloud-based agents and serverless infrastructure
Technical Skills
- Strong Python and/or JavaScript/Node.js - clean, production-grade code
- Solid understanding of deployment pipelines, CI/CD, environment management, and secrets handling
- Experience with vector databases and embedding-based retrieval
- Comfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
- Familiarity with monitoring, logging, and alerting for production systems
Soft Skills
- Highly autonomous - identifies problems and ships solutions without waiting to be asked
- Effective communicator across technical and non-technical audiences
- Strong product instincts: can step into ownership of an initiative when there's no PM in the room
- Calm under pressure; reliable when other teams are blocked and need answers fast
- Comfortable working across many different teams and problem domains simultaneously
+ Bonus Points
- Experience with AI agent frameworks
- Background in high-volume performance advertising, media, or creative production
- Experience with AI in a production context
- Multi-step agentic pipeline design or large-scale workflow orchestration
- Experience with data pipelines or BI tooling
• Benefits
Health, Vision & Dental coverage
Unlimited PTO
401(k) + Matching
♥ Life Insurance
Paid Sick Days
Paid Parental Leav

Apply