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Senior Full Stack Developer Jobs in Salinas, CA (NOW HIRING)

Senior Engineer

Monterey, CA ยท On-site

$147K - $190K/yr

The Senior Engineer is a senior management level classification in the City of Monterey's Public ... The City of Monterey is a full-service charter city operating under a Council-Manager form of ...

The Senior Engineer is a senior management level classification in the City of Monterey's Public ... The City of Monterey is a full-service charter city operating under a Council-Manager form of ...

R&D Software Integration Engineer

Hollister, CA ยท On-site

$167K - $208K/yr

Responsible for working with other software engineers to continue to develop and maintain a full stack autonomy system that is flown in surrogate aircraft. * Be responsible for developing software ...

R&D Software Integration Engineer

Hollister, CA ยท On-site

$167K - $208K/yr

Responsible for working with other software engineers to continue to develop and maintain a full stack autonomy system that is flown in surrogate aircraft. * Be responsible for developing software ...

Troubleshoot and resolve production incidents across the enterprise application stack during ... senior input * Strong written and verbal communication skills, including the ability to explain ...

Enterprise Application Developer

Hollister, CA ยท On-site

$85K - $120K/yr

Troubleshoot and resolve production incidents across the enterprise application stack during ... senior input * Strong written and verbal communication skills, including the ability to explain ...

Troubleshoot and resolve production incidents across the enterprise application stack during ... senior input * Strong written and verbal communication skills, including the ability to explain ...

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Senior Full Stack Developer information

See Salinas, CA salary details

$25

$63

$92

How much do senior full stack developer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for senior full stack developer in Salinas, CA is $63.67, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $73.37 per hour, depending on experience, location, and employer.

What is the difference between Senior Full Stack Developer vs Backend Developer?

AspectSenior Full Stack DeveloperBackend Developer
Required SkillsProficiency in both frontend and backend technologies, such as JavaScript, HTML, CSS, and server-side languages like Node.js, Python, or JavaSpecialized in server-side development, working with languages like Java, Python, Ruby, or PHP, and database management
Work EnvironmentCollaborates across frontend and backend teams, often involved in full project lifecycleFocuses primarily on backend systems, APIs, and database integration
Common UsageUsed in roles requiring full project oversight and versatile development skillsUsed in roles focused on server-side logic, database management, and API development

The main difference is that a Senior Full Stack Developer handles both frontend and backend development, providing a comprehensive approach to projects, while a Backend Developer specializes solely in server-side logic and database management. Both roles require strong programming skills, but the Full Stack Developer's expertise spans the entire technology stack.

How does a Senior Full Stack Developer typically collaborate with cross-functional teams during a project lifecycle?

As a Senior Full Stack Developer, you'll frequently collaborate with designers, product managers, QA engineers, and other developers to deliver end-to-end solutions. You'll be involved in requirements discussions, offer technical guidance, and help align frontend and backend development with business goals. Your role often includes code reviews, mentoring junior team members, and ensuring seamless integration across various systems. This collaborative environment encourages knowledge sharing and innovation while ensuring project success.

What are the key skills and qualifications needed to thrive as a Senior Full Stack Developer, and why are they important?

To thrive as a Senior Full Stack Developer, you need advanced proficiency in both front-end and back-end programming languages, frameworks, and a solid understanding of software architecture, usually supported by a relevant degree and several years of experience. Mastery of tools such as Git, Docker, CI/CD systems, and cloud platforms like AWS or Azure is typically required, alongside familiarity with databases and version control systems. Strong problem-solving abilities, leadership, effective communication, and collaboration skills set exceptional developers apart. These skills and qualities are crucial for delivering robust, scalable solutions while mentoring teams and efficiently bridging gaps between client requirements and technical implementation.

What are Senior Full Stack Developers?

Senior Full Stack Developers are experienced professionals who design, develop, and maintain both the front-end and back-end components of web applications. They are proficient in multiple programming languages and frameworks, enabling them to handle servers, databases, APIs, and user interfaces. In addition to coding, they often lead development teams, make architectural decisions, and ensure software quality and scalability. Their expertise allows them to oversee the entire application lifecycle, from concept to deployment.
What are the most commonly searched types of Full Stack Developer jobs in Salinas, CA? The most popular types of Full Stack Developer jobs in Salinas, CA are:
What job categories do people searching Senior Full Stack Developer jobs in Salinas, CA look for? The top searched job categories for Senior Full Stack Developer jobs in Salinas, CA are:
What cities near Salinas, CA are hiring for Senior Full Stack Developer jobs? Cities near Salinas, CA with the most Senior Full Stack Developer job openings:
Infographic showing various Senior Full Stack Developer job openings in Salinas, CA as of July 2026, with employment types broken down into 80% Full Time, 6% Part Time, 1% Temporary, and 13% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $132,432 per year, or $63.7 per hour.

AI/MLOps Architect - R&D IT (Onsite)

Driscoll's

Watsonville, CA โ€ข On-site

$132K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

About the Opportunity:
Driscollโ€™s is building an AI-assisted R&D capability that depends on trusted data, governed delivery patterns, secure environments, and production-grade model operations. This role sits within an emerging R&D IT function embedded in Global R&D and partners closely with Global IS, scientists, product leads, and engineers to define how AI is safely and repeatedly deployed across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows.
We are seeking an AI / MLOps Architect who can design and operationalize the backbone for governed AI at Driscollโ€™s. This role is responsible for the patterns, platforms, controls, and runtime operations that allow models and AI-enabled services to move from prototype to dependable production use. The ideal candidate combines strong architecture judgment with hands-on experience in MLOps, model serving, evaluation, observability, lineage, and secure deployment.
This is a hands-on architecture role for someone who enjoys building repeatable systems, reducing technical ambiguity, and creating a foundation that multiple R&D AI use cases can share. You will work closely with the AI Engineer, Product Owner, Full-Stack Engineer, data engineers, and domain partners to ensure AI solutions land on a common backbone rather than emerging as disconnected pilots.
Driscollโ€™s Information Services (IS) department is responsible for maintaining and developing digital services and solutions to support and enable the Driscollโ€™s business, growers, and customers. Global IS operates in a rapidly changing business environment and has embarked on a significant digital transformation journey.
The Global Information Services (IS) function operates through a global structure and is organized in departments by IT expertise. This role is located at our corporate headquarters in Watsonville, CA.
Responsibilities:
  • Define and evolve the reference architecture for AI and model operations across the R&D IT ecosystem.
  • Establish repeatable patterns for model packaging, deployment, serving, evaluation, monitoring, retraining, rollback, and lifecycle governance.
  • Design and implement the technical backbone for governed AI, including model registry patterns, evaluation flows, observability, lineage, auditability, and access controls.
  • Partner with R&D IT, Global IS, and data/platform teams to ensure AI solutions land on approved architecture, environments, and data pathways rather than separate, ungoverned stacks.
  • Define minimum standards for production AI services, including environment separation, release controls, security, performance, logging, approvals, and recovery procedures.
  • Develop and standardize patterns for integrating models and AI services into applications, APIs, workflow tools, and enterprise platforms.
  • Design model-serving and inference patterns for different use cases, including batch, near-real-time, and interactive assistant workflows.
  • Establish practical evaluation approaches for AI-enabled systems, including offline testing, human-in-the-loop review, regression checks, drift monitoring, and quality gates.
  • Drive technical decisions around observability, cost/performance tradeoffs, model telemetry, and operational supportability.
  • Partner with the AI Engineer and Full-Stack Engineer to ensure product experiences are backed by reliable, scalable, and measurable AI services.
  • Work with product and domain stakeholders to translate scientific workflows into durable operational patterns and platform requirements.
  • Contribute to roadmap planning, architecture reviews, vendor assessment, backlog shaping, and implementation sequencing.
  • Mentor engineers on deployment patterns, infrastructure tradeoffs, service design, evaluation, and operational excellence.
  • Communicate effectively, both verbally and in writing, with business and technical teams.
  • Domestic and international travel required up to 10%.
  • Represent Driscollโ€™s in an ethical and professional manner during all interactions with growers, co-workers, suppliers, customers, and the business community at large.
  • Ensure the security of Driscollโ€™s confidential and proprietary information and materials.

Candidate Profile:
  • 5+ years of experience in machine learning engineering, platform engineering, MLOps, cloud architecture, or adjacent technical roles supporting production AI/ML systems.
  • Hands-on experience designing or operating model deployment and serving patterns in cloud environments.
  • Strong experience with modern software and platform engineering practices, including CI/CD, containers, service reliability, versioning, observability, and secure deployment.
  • Experience with Python and API/service integration patterns; working knowledge of SQL and data access patterns.
  • Practical experience with model lifecycle operations, including deployment, monitoring, retraining triggers, evaluation, rollback, and incident response.
  • Experience designing systems with traceability, auditability, access controls, and quality gates.
  • Strong systems thinking and architecture judgment; able to create standards that are pragmatic, repeatable, and usable by engineering teams.
  • Strong communication skills; able to explain architecture, tradeoffs, and risks to both technical and non-technical stakeholders.
  • Ability to thrive in a dynamic, cross-functional environment while living Driscollโ€™s values of passion, humility, and trustworthiness.
  • Strong experience with Microsoft product suite, including Visio, Excel, PowerPoint, Word, Teams, and SharePoint required.
  • Travel and after-hours support required.

Preferred Qualifications:
  • Experience with model registry, feature/data versioning, evaluation frameworks, experiment tracking, or deployment orchestration tools.
  • Experience supporting LLM-based applications, retrieval systems, prompt orchestration, model routing, or assistant-style workflows in production.
  • Experience with cloud-native architecture, especially AWS, and services supporting AI/ML deployment, data integration, and runtime operations.
  • Experience with infrastructure-as-code, GitHub-based workflows, Docker, and environment automation.
  • Familiarity with data lineage, cataloging, semantic layers, and governed access patterns for AI-enabled applications.
  • Experience partnering with product managers, application engineers, and data engineers in cross-functional delivery squads.
  • Experience in both in-house development solutions and implementation of vendor-delivered applications preferred.
  • Familiarity with scientific/R&D datasets, high-throughput lab systems, genomics, phenotyping, breeding, or ag-biotech environments.
  • Prior experience defining reference architectures and evangelizing standards across multiple teams or business units.
  • A valid passport and the ability to travel internationally without restrictions.

Compensation and Benefits:
The following information is provided in good faith as a general description of the salary range and benefits for the position posted. The actual compensation offered to the successful candidate is dependent upon experience, skills, education, work location, internal pay equity, and other objective job-related factors.
Salary Range estimated for the AI/MLOps Architect - R&D IT: $132,410.00/year to $170,000.00/year
Driscollโ€™s is committed to a culture of care and offers an attractive benefits package that includes comprehensive medical, dental, and vision coverage, life insurance, and disability coverage for positions working more than 30 hours per week. Other benefits include: 401(k) with employer match, profit-sharing participation, paid sick time, paid vacation, paid personal and family care leave, and a free Employee Assistance Program (EAP). More detailed information regarding the benefits package, will be shared during the application process.

About Driscoll's:
Driscoll's is the global market leader for fresh strawberries, blueberries, raspberries and blackberries. With more than 100 years of farming heritage and hundreds of independent growers around the world, Driscoll's is passionate about growing fresh, beautiful and delicious berries. Our values of humility, passion and trustworthiness have guided our mission to delight consumers around the world. Driscoll's exclusive patented berry varieties are developed through years of research using only natural breeding methods โ€“ meaning, no GMOs. From farm-to-table, we focus on delivering a high quality, premium berry experience with our many supply chain partners.ย 
Driscoll's is the trusted brand for Only the Finest Berriesโ„ข.