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Dynamo Jobs in California (NOW HIRING)

Sidram Technologies

Android Developer - w2

San Leandro, CA · On-site

$63 - $82.75/hr

Important Skills :- Kotlin, GraphQL, Dynamo DB JD :- * Minimum 10 years of experience * Very Strong Java Kotlin Development skills * Hand on experience on Kotlin, GraphQL, Dynamo DB * Experience on ...

Sidram Technologies

Android Developer - w2

San Leandro, CA · On-site

$63 - $82.75/hr

USC, GC and H4ead and GCEAD (willing to share pp no.) Important Skills :- Kotlin, GraphQL, Dynamo DB JD :- * Minimum 10 years of experience * Very Strong Java Kotlin Development skills * Hand on ...

Capitolis

Technical Product Manager

San Francisco, CA · On-site

$120 - $160/hr

As the Technical Product Manager for the Core Platform at Dynamo.ai , you will be responsible for steering the vision, strategy, and execution of our platform's infrastructure and deployment ...

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Dynamo information

What is a Dynamo?

A Dynamo typically refers to an electrical generator that converts mechanical energy into electrical energy, usually by using electromagnetic induction. In the context of jobs, a Dynamo could also refer to a specialist who works with Autodesk Dynamo, a visual programming tool used in architecture, engineering, and construction for automating tasks and designing workflows. Professionals using Dynamo create custom scripts to streamline complex processes in software like Revit. Their work helps increase efficiency, accuracy, and creativity in building design and data management.

What are the key skills and qualifications needed to thrive as a Dynamo developer?

To excel as a Dynamo developer, you need strong skills in computational design, visual programming, and a background in architecture, engineering, or construction, often supported by relevant degrees or certifications. Proficiency in using Dynamo for Revit, understanding BIM workflows, and familiarity with scripting languages like Python are typically required. Creative problem-solving, attention to detail, and effective communication set outstanding Dynamo developers apart. These skills and qualities are crucial for automating complex design tasks, optimizing workflows, and delivering innovative solutions in the AEC industry.

What are some common challenges faced by a Dynamo developer when collaborating with architects and engineers on BIM projects?

Dynamo developers working on BIM projects often encounter challenges such as aligning script outputs with the specific requirements of architects and engineers, ensuring data interoperability between different software platforms, and keeping up with evolving project standards. Effective communication is key, as team members may have varying levels of familiarity with computational design tools. Regular coordination meetings, clear documentation, and iterative testing help ensure that scripts meet project goals and integrate smoothly into the broader design workflow.

What is the difference between Dynamo vs Data Analyst?

AspectDynamoData Analyst
Required CredentialsTypically certifications in DynamoDB, cloud computing, or database managementOften requires degrees in statistics, data science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentPrimarily cloud-based, working with AWS or similar platformsOffice or remote, working with data sets, spreadsheets, and visualization tools
Employer & Industry UsageUsed by cloud service providers, tech companies, and database administratorsEmployed across finance, marketing, healthcare, and other sectors for data analysis

While Dynamo specialists focus on managing and optimizing DynamoDB databases within cloud environments, Data Analysts interpret data to support business decisions. Both roles require analytical skills, but Dynamo roles are more technical and platform-specific, whereas Data Analysts work across various data tools and industries.

Dynamo jobs near you
Infographic showing various Dynamo job openings in California as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 78% Physical, 9% Hybrid, and 13% Remote job distribution.

Senior Full Stack Engineer, Agentic Security

Dynamo AI

San Francisco, CA • On-site

Full-time

Medical

Re-posted 24 days ago

Job description

About Dynamo AI
Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative and agentic AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government.
We're backed by leading partners and rapidly expanding with some of the world's most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (>$30M raised), with offices in NYC, SF, Bangalore, and a European office planned to open soon.
The Agentic Security Team builds the product and infrastructure behind Agent Warden - a security layer for agentic systems that detects risk patterns, enforces guardrails, and gives teams visibility into what their AI agents are actually doing. We ship backend services, frontend dashboards, CLI tools, and the deployment infrastructure that runs them. We work in tight loops with the Applied Research team, turning their insights into production systems. You can see what we're building here.
About the Role
You'll build and own the production systems behind Agent Warden - the backend services, frontend dashboards, CLIs, and deployment infrastructure that make the product work end-to-end. You'll ship features fast, keep things simple, and make the systems reliable enough for enterprise customers to depend on. You can see what we're building here.
This is a full stack, backend heavy role with a strong agentic development philosophy. We develop using AI-assisted workflows (Cursor, Claude Code, agent skills) as a first-class part of how we build software - not as an afterthought. You'll be expected to be highly productive in this mode of working.
Ideal profile: roughly 2-4 years of hands-on software engineering experience, high agency, strong communication, and hunger to grow.
In this role you will:
  • Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS)
  • Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript)
  • Design and work with data models and migrations (PostgreSQL), and caching layers (Redis)
  • Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution
  • Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process
  • Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues
  • Collaborate closely with the Applied Research team to productionize new capabilities

You might thrive in this role if:
  • You have strong full-stack experience - you're comfortable building APIs, writing database queries, and shipping React/Next.js UIs
  • You've built production services with FastAPI or similar frameworks
  • You understand dependency management and packaging - you're comfortable with uv, pyproject.toml, editable installs, and managing dependency graphs across shared libraries
  • You've owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution
  • You're comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS. You don't need to be a DevOps engineer, but you can read a Helm chart, debug a failed deploy, and add an environment variable without hand-holding
  • You develop using AI-assisted tools (Cursor, Claude Code, Copilot) and are productive in agentic workflows - writing skills, using structured prompts, and leveraging AI to move faster. No AI slop.
  • You care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever.
  • You have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene
  • You're comfortable working in ambiguity - requirements change fast, priorities shift, and you're proactive about figuring things out rather than waiting for direction
  • You communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it

Nice to have:
  • Experience building CLIs with clean argument parsing, help text, and user-friendly error handling
  • Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems
  • Experience with Redis Streams, event-driven architectures, or real-time data pipelines
  • Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments
  • Interest in AI security - understanding how agentic systems can be exploited and how to defend against it

What we offer
  • Competitive salary + equity, so you share in the company's upside
  • Work at the forefront of AI security, helping define a new category
  • Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco
  • Fully funded team retreats every 8 weeks
  • Health insurance allowance for you and your dependents
  • Wellbeing, learning, and home office allowances (to support health, growth, and your setup)

Apply