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Entry Level Full Stack Developer Jobs in Santa Barbara, CA

Avoca, Inc.

Account Executive

Santa Barbara, CA · On-site

$240 - $350/hr

Not the market, not the tech stack, the people. These are the people I call when things get hard ... Rong Ye Software Engineering I get to work alongside people who genuinely care about the product ...

Avoca, Inc.

Account Manager

Santa Barbara, CA · On-site

$240 - $280/hr

Not the market, not the tech stack, the people. These are the people I call when things get hard ... Rong Ye Software Engineering I get to work alongside people who genuinely care about the product ...

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Entry Level Full Stack Developer information

See Santa Barbara, CA salary details

$26

$65

$95

How much do entry level full stack developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level full stack developer in Santa Barbara, CA is $65.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $75.96 per hour, depending on experience, location, and employer.

What is an entry level full stack developer?

An Entry Level Full Stack Developer is a professional who is new to the software development field and works on both the front-end (client side) and back-end (server side) of web applications. They are familiar with various programming languages, frameworks, and tools needed to build and maintain entire web projects. While they may have limited experience, they are capable of handling tasks such as developing user interfaces, creating APIs, managing databases, and deploying applications under the guidance of more experienced developers. Entry level full stack developers often work as part of a team and receive mentorship to help them grow their skills.

What is the job of an entry level full stack developer?

A full stack is the front and back end of an application. It is comprised of a computer system, a programming language, database software, and a computer server. As an entry-level full stack developer, your responsibilities consist of developing something on behalf of a client. In an entry-level full stack developer role, you may help build an SQL database, a JavaScript application, or a PHP database on a server. Your qualifications should include a general knowledge of every level of software development as well as one or more common programming languages such as HTML, CSS, Python, and SQL.

What are the key skills and qualifications needed to thrive as an entry level full stack developer, and why are they important?

To thrive as an Entry Level Full Stack Developer, you need proficiency in both front-end (HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, or Java) technologies, supported by a relevant degree or coding bootcamp experience. Familiarity with databases (SQL/NoSQL), version control systems like Git, and frameworks such as React or Express is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work collaboratively and adapt to changing project requirements. These skills and tools are vital for building, maintaining, and improving dynamic web applications in fast-paced development environments.

What are some common challenges entry level full stack developers face when transitioning from academic projects to real world applications?

Entry Level Full Stack Developers often find that real-world projects are more complex and less structured than academic assignments. They may encounter challenges such as working with legacy code, collaborating across multidisciplinary teams, and managing competing priorities within agile development cycles. Additionally, adapting to company-specific workflows, version control practices, and deployment processes can be initially overwhelming. However, these experiences provide valuable learning opportunities and quickly build practical, in-demand skills.

What is the difference between Entry Level Full Stack Developer vs Junior Web Developer?

AspectEntry Level Full Stack DeveloperJunior Web Developer
Required SkillsBasic knowledge of front-end and back-end technologies, programming languages like JavaScript, HTML, CSS, and some backend frameworksFundamental web development skills, mainly front-end or back-end, with limited full-stack experience
Work EnvironmentCollaborates on full project cycles, working on both client and server-side codeFocuses on specific parts of web development, often under supervision
Common UsageUsed in companies seeking versatile developers capable of handling full-stack tasksOften entry-level roles focusing on specific web development tasks

In summary, Entry Level Full Stack Developers have a broader skill set covering both front-end and back-end development, while Junior Web Developers typically specialize in one area with limited full-stack responsibilities. The choice depends on your desired focus and career path in web development.

More about Entry Level Full Stack Developer jobs

What are the most commonly searched types of Full Stack Developer jobs in Santa Barbara, CA?

The most popular types of Full Stack Developer jobs in Santa Barbara, CA are:

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For Entry Level Full Stack Developer jobs in Santa Barbara, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Full Stack Developer jobs in Santa Barbara, CA look for?

The top searched job categories for Entry Level Full Stack Developer jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Entry Level Full Stack Developer jobs?

Cities near Santa Barbara, CA with the most Entry Level Full Stack Developer job openings:

Entry Level Full Stack Developer jobs near you
Infographic showing various Entry Level Full Stack Developer job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $137,151 per year, or $65.9 per hour.

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA

Full-time

Re-posted 5 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 247 rated software companies

Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.
This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base.
Your Impact
  • ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics.
  • Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
  • Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes.
  • Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
  • Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.
Must Have
  • ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training Small Language Models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior Staff-level role at a company with a significant AI infra footprint.
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Contributions to open-source ML infrastructure or LLM tooling.
Location
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What AppFolio employees say

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Hours and flexibility

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