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Full Stack Developer Jobs in Santa Monica, CA (NOW HIRING)

Worky

Full Stack Developer / AI Focused

Long Beach, CA · On-site

$150 - $200/hr

Engineering is not a support function here -- it is a core driver of every major business outcome ... Debug complex issues across the full stack * Own code quality through rigorous peer review

New

Xforia, Inc.

Full stack engineer

Santa Clarita, CA · On-site

A history of building high-quality, well-tested products. * Devops experience and expertise ... full-stack solutions. * Experience leading engineering teams is a big plus Core responsibilities

Clerkie

Full-Stack Engineer

Los Angeles, CA · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable ...

Machina Labs

Full Stack Engineer

Chatsworth, CA

$130K - $150K/yr

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems that power our robotic sheet metal forming platform. In this role, you'll bridge the gap between the ...

Machina Labs

Full Stack Engineer

Chatsworth, CA · On-site

$130K - $150K/yr

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems that power our robotic sheet metal forming platform. In this role, you'll bridge the gap between the ...

Xsolla

Full-Stack Engineer

Los Angeles, CA · On-site

$125 - $150/hr

ABOUT YOU We are looking for a Full-Stack Engineer who is curious, detail-oriented, and collaborative to join our Engineering team. The best candidate will be someone who enjoys working in a fast ...

Edwin

Senior Full-Stack Engineer

Santa Monica, CA · On-site

$150 - $200/hr

As a Senior Full-Stack Engineer, you will design, build, and operate core features of the Edwin platform across the stack. This is a hands-on role with room to grow into broader technical ownership ...

Deloitte

Cyber Full Stack Manager

Los Angeles, CA · On-site

As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical ...

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All JobsFull Stack Developer JobsFull Stack Developer Jobs in Santa Monica, CA

Full Stack Developer information

See Santa Monica, CA salary details

$26

$66

$96

How much do full stack developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for full stack developer in Santa Monica, CA is $66.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $76.63 per hour, depending on experience, location, and employer.

What is a full stack developer?

A Full Stack Developer is a software professional who is skilled in both front-end (client side) and back-end (server side) development. They are capable of designing, building, and maintaining complete web applications or systems, handling everything from user interfaces and databases to server logic and APIs. Full Stack Developers often work with a range of programming languages and frameworks, such as JavaScript, HTML/CSS, Node.js, Python, and SQL, among others. Their versatility allows them to contribute to multiple stages of the software development lifecycle, making them valuable assets to development teams.

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

To thrive as a Full Stack Developer, you need expertise in both front-end and back-end programming languages (such as JavaScript, HTML/CSS, Python, or Java) and a solid understanding of web development principles, often supported by a relevant degree or coding bootcamp experience. Familiarity with frameworks like React or Angular, back-end environments like Node.js or Django, version control systems like Git, and possibly cloud platforms is typically required. Strong problem-solving, communication, and collaboration skills distinguish excellent developers, allowing them to work effectively in team environments and with stakeholders. These technical and soft skills are vital for building, maintaining, and optimizing complex, user-friendly web applications that meet business needs.

What are some common challenges full stack developers face when working on cross-functional teams?

Full Stack Developers often collaborate with designers, backend engineers, project managers, and QA testers, which can introduce challenges like aligning on project requirements and managing different technical perspectives. Coordinating between frontend and backend tasks while ensuring seamless integration is another common hurdle. Additionally, staying up-to-date with evolving technologies on both ends of the stack requires strong time management and continuous learning. Effective communication and adaptability are key to overcoming these challenges and delivering cohesive solutions.

What is the difference between Full Stack Developer vs Front End Developer?

AspectFull Stack DeveloperFront End Developer
SkillsProficient in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often handling entire project stacks.Focuses primarily on designing and implementing user interfaces and user experience.
Common UsageUsed in full project development, especially in startups and small teams.Primarily involved in UI/UX design and front-end implementation in larger teams.

While both roles require strong web development skills, Full Stack Developers handle both front-end and back-end tasks, providing a comprehensive approach to web projects. Front End Developers focus solely on creating engaging and responsive user interfaces. Understanding these differences helps employers and developers choose the right role for their project needs.

Is full stack developer still in demand?

Full stack developers are currently in high demand due to their ability to work on both front-end and back-end development, with skills in frameworks like React, Angular, Node.js, and database management. The role remains essential across industries, especially as companies prioritize versatile developers who can adapt to evolving technologies.

What will a full stack developer do?

A full stack developer designs, develops, and maintains both the front-end and back-end components of web applications. They work with languages like JavaScript, HTML, CSS, and server-side technologies, often using frameworks and tools such as React, Node.js, and databases. Full stack developers are responsible for ensuring seamless integration and functionality across all parts of a web project.
More about Full Stack Developer jobs

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

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

What are popular job titles related to Full Stack Developer jobs in Santa Monica, CA?

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

What cities near Santa Monica, CA are hiring for Full Stack Developer jobs?

Cities near Santa Monica, CA with the most Full Stack Developer job openings:

Full Stack Developer jobs near you
Infographic showing various Full Stack Developer job openings in Santa Monica, CA as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $138,363 per year, or $66.5 per hour.

Full Stack Developer / AI Focused

CarParts.com

Long Beach, CA • On-site

Contractor

Posted 4 days ago

CarParts.com rating

3.1

Company rating: 3.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

About Us

We are a fast-growing technology company building products used by hundreds of thousands of customers, backed by a supply chain spanning multiple distribution centers and a data platform processing millions of events daily. Engineering is not a support function here — it is a core driver of every major business outcome.

We move fast, hold ourselves to a high bar, and believe the best engineering decisions are made by people who are close to the business. We are embracing AI not as a trend, but as a genuine multiplier — using it to ship better software, faster, while never losing sight of the craftsmanship that makes software great.


The Role

This is a forward-deployed engineering role with AI at its core. You will architect systems, write production-grade code, design databases, and own your projects end to end — with a primary focus on deploying AI capabilities directly into the business and products that serve real users. What defines this role is the expectation that you bring strong engineering fundamentals together with a hands-on, deployment-first mindset for AI-powered tools and workflows.


You are not required to be an AI researcher or an ML specialist. You are expected to be an excellent engineer who deploys AI where it creates real value — using it to accelerate delivery, build intelligent features, and solve hard problems, while applying your own judgment to validate, refine, and own the outcome.


Strong Engineering Core

  • Design robust, scalable systems from the ground up
  • Write clean, well-tested, maintainable code
  • Optimize database performance and data models
  • Debug complex issues across the full stack
  • Own code quality through rigorous peer review
  • Deliver reliable software with measurable outcomes

AI as a Force Multiplier

  • Use AI coding assistants to accelerate development
  • Leverage LLMs to generate boilerplate, tests, and docs
  • Build AI-powered features where they add real user value
  • Apply AI to improve code review, debugging, and analysis
  • Evaluate AI outputs critically — judgment still wins
  • Stay current and bring new AI tools to the team

Our Culture

What We Believe

  • Outcomes over activity — we measure what ships and what works.
  • Speed is a feature — long approval chains kill great products.
  • Radical candor — honest feedback is a form of respect.
  • Learning is non-negotiable — every sprint is a chance to improve.
  • No politics, no silos — collaborate openly across every team.

How We Work

  • Fast-paced sprints with a strong bias toward shipping.
  • Engineers own requirements, architecture, and roadmap input.
  • AI tools are standard kit — we share what works.
  • Blameless post-mortems — failure is a learning event.
  • Async-first with intentional synchronous collaboration.

Key Responsibilities

Core Software Engineering (50%)

  • Design, build, and maintain scalable, high-quality software systems and APIs that serve real users in production.
  • Write clean, well-structured code with appropriate test coverage — unit, integration, and end-to-end.
  • Architect and optimize relational and non-relational database schemas, queries, and data models for performance and reliability.
  • Conduct meaningful code reviews that improve team quality and share knowledge, not just catch syntax errors.
  • Debug, profile, and resolve performance bottlenecks and production issues with urgency and rigor.
  • Contribute to technical architecture decisions — propose solutions, evaluate tradeoffs, and document outcomes.
  • Participate actively in Agile ceremonies: sprint planning, standups, retrospectives, and backlog refinement.

AI-Forward Deployment (35%)

  • Deploy AI solutions end-to-end — from identifying the right use case, to building and shipping LLM-powered features directly into products and internal workflows.
  • Incorporate LLM APIs and AI frameworks into product features where they create genuine user value: search, summarization, recommendations, intelligent automation, and decision support.
  • Apply critical engineering judgment to evaluate, refine, and validate all AI-generated outputs before they reach production — you own the result, not just the prompt.
  • Use AI coding assistants (GitHub Copilot, Cursor, Claude Code) as a daily accelerator — and champion effective AI tool patterns and prompt strategies across the team.
  • Stay at the front edge of the AI tooling landscape — evaluate new models, frameworks, and techniques and bring back deployment-ready recommendations that move the business forward.

Cross-Team Collaboration & Communication (15%)

  • Partner with Marketing, Customer Experience, Data Science, Merchandising, Warehouse Ops, and Finance to understand requirements and deliver technical solutions.
  • Translate technical concepts clearly for non-technical stakeholders — written documentation, presentations, and live discussions.
  • Present project outcomes and architectural decisions to senior leadership with confidence and clarity.
  • Contribute to a culture of knowledge sharing: write internal documentation, run team demos, and mentor peers.

Cross-Team Collaboration

Engineering here is a visible, active partner across the business — not a back-room function. You will work directly with teams who depend on the systems and data you build. Strong communication and commercial awareness are just as important as great code.

  • Marketing: Personalization, campaign analytics, A/B platforms
  • Customer Experience: AI support tools, self-service flows, CSAT pipelines
  • Data Science: Model integration, feature engineering, shared infra
  • Merchandising: Pricing, inventory intelligence, catalog tooling
  • Warehouse Ops: Fulfillment automation, routing, operational dashboards
  • Finance & Ops: Cost models, reporting pipelines, forecasting
  • Supply Chain: Vendor integrations, PO systems, logistics optimization
  • Product: Feature scoping, roadmap input, rapid prototyping
  • Security: Secure design, data privacy, compliance tooling

Required Qualifications

Engineering Fundamentals — Non-Negotiable

  • Experience: 3–6 years of professional software engineering in a production environment, with a portfolio of real systems you have owned and shipped.
  • Languages: Strong proficiency in one or more of: Python, Java, TypeScript, Go, or C#. Depth matters more than breadth.
  • Software Design: Solid grasp of OOP, SOLID principles, design patterns, and how to make architectural decisions with long-term maintainability in mind.
  • Databases: Confident with relational databases (PostgreSQL, MySQL) — schema design, indexing, query optimization, and transactions. Working knowledge of at least one NoSQL store (MongoDB, Redis, DynamoDB).
  • APIs & Integration: Experience designing and consuming RESTful APIs; comfortable reading and writing service contracts and integration documentation.
  • Testing: Writes meaningful unit, integration, and end-to-end tests — not for coverage metrics, but for genuine confidence in your code.
  • Cloud & DevOps: Familiar with at least one major cloud platform (AWS, GCP, Azure), Docker, CI/CD pipelines, and basic infrastructure practices.
  • Version Control: Strong Git workflow: branching strategies, pull requests, and code review culture.

AI Literacy — Expected & Growing

  • AI Tool Adoption: Actively uses AI coding assistants in day-to-day development and can demonstrate concrete productivity or quality improvements as a result.
  • LLM Integration: Has built or integrated at least one LLM-powered feature or workflow in a real project — even if exploratory or side-project experience counts.
  • Prompt Awareness: Understands the basics of prompt design, few-shot examples, and how to get reliable, structured outputs from LLM APIs.
  • Critical Evaluation: Applies engineering discipline to AI outputs — tests them, validates them, and knows when not to trust them.
  • Curiosity: Genuinely interested in how AI tooling is evolving and proactively experiments with new approaches.

Preferred Qualifications

  • Experience building RAG pipelines or working with vector databases (Pinecone, pgvector, Weaviate, etc.).
  • Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar orchestration tools.
  • Exposure to ML concepts: embeddings, model evaluation, fine-tuning, and working with data science teams.
  • Experience with observability and monitoring tooling (Datadog, Grafana, OpenTelemetry, or equivalent).
  • Background in microservices architecture and event-driven systems (Kafka, RabbitMQ, etc.).
  • Knowledge of security best practices: OWASP Top 10, authentication/authorization, input validation.
  • Experience with Agile/Scrum methodologies and tools like Jira or Linear.
  • Open-source contributions or public portfolio demonstrating your engineering work.

Core Competencies

  • Engineering Craft: Clean, tested, maintainable code
  • Database Acumen: SQL, NoSQL, schema & performance
  • AI Fluency: Tools + LLMs as force multipliers
  • Performance Mindset: Measures, optimizes, validates
  • Quality Discipline: Tests like production depends on it
  • Cross-Team Voice: Fluent in code AND in business
  • Sound Judgment: Knows when — and when NOT — to use AI
  • Ownership Drive: Ships end-to-end, measures impact

Technology Landscape

Languages: Python, TypeScript, Java, Go, SQL

Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, pgvector

Cloud & Infra: AWS / GCP / Azure, Docker, Kubernetes, Terraform

APIs: REST, GraphQL, gRPC, OpenAPI / Swagger

AI & LLM: OpenAI, Anthropic Claude, Gemini — integrated as features, not the foundation

AI Dev Tools: GitHub Copilot, Cursor, Claude Code — used daily to accelerate engineering

Observability: Datadog, OpenTelemetry, Prometheus, Grafana

Data: PostgreSQL, dbt, Airflow, Spark, Kafka

CI/CD: GitHub Actions, ArgoCD, Jenkins, CircleCI


Equal Opportunity Employer

CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.

 

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.

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