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Junior Lamp Stack Developer Jobs in Seattle, WA (NOW HIRING)

Senior AI Engineer - Privacy

Bellevue, WA ยท On-site

$117K - $162K/yr

Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions. * Mentor junior engineers on AI/ML engineering ...

Technical Leadership and Collaboration Provide technical guidance to peers and mentor junior ... stack. Required Qualifications Proficiency in .NET development using C#, QL Server, and Windows ...

Provide technical guidance to peers and mentor junior developers. * Conduct code reviews and ... stack. Required Qualifications * Proficiency in .NET development using C#, QL Server, and Windows ...

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying ... LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.) * Experience configuring and running ...

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying ... LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.) * Experience configuring and running ...

Data Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Mentor junior engineers and contribute to architectural decisions and code reviews * Participate in ... Familiarity with data lakehouse architecture and modern data stack principles * Strong ...

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying ... LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.) * Experience configuring and running ...

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying ... LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.) * Experience configuring and running ...

Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying ... LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.) * Experience configuring and running ...

Java Lead with GCP

Issaquah, WA ยท On-site

$60 - $65/hr

Mentor junior developers and enforce coding standards and best practices. * Drive continuous ... ELK Stack, Prometheus, Grafana. * Cloud & Containerization: AWS, Azure, Docker, Kubernetes.

Senior Java Engineer

Redmond, WA ยท On-site

$140K - $170K/yr

Own the full-stack software infrastructure, from low-level hardware communication (USB/SPI/serial ... practices, and mentor junior engineers if needed. * Drive CI/CD pipelines, version control ...

Sr. Software Engineer

Redmond, WA ยท On-site

$150K - $170K/yr

You'll own the full-stack software infrastructure, from low-level hardware communication (USB/SPI ... Act as SME for software architecture: document APIs, mentor junior engineers, and align technical ...

Showing results 41-60

Junior Lamp Stack Developer information

See Seattle, WA salary details

$27.3K

$101.3K

$156.5K

How much do junior lamp stack developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior lamp stack developer in Seattle, WA is $101,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $99,000.00 per year, depending on experience, location, and employer.

What is a Junior LAMP Stack Developer?

A Junior LAMP Stack Developer is an entry-level programmer who specializes in building web applications using the LAMP stack: Linux (operating system), Apache (web server), MySQL (database), and PHP (programming language). They assist in developing, testing, and maintaining websites and web applications, often working under the guidance of senior developers. Their responsibilities may include writing code, troubleshooting issues, and collaborating with designers and other team members to deliver functional web solutions.

What are the key skills and qualifications needed to thrive as a junior LAMP Stack Developer?

To thrive as a Junior LAMP Stack Developer, you need a solid grasp of Linux, Apache, MySQL, and PHP, along with a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, basic front-end technologies (HTML, CSS, JavaScript), and development tools such as phpMyAdmin are commonly required. Strong problem-solving abilities, a willingness to learn, and effective communication skills set standout candidates apart. These skills enable efficient web application development, troubleshooting, and collaboration within development teams.

What are some typical challenges a junior LAMP Stack Developer might face when joining a new team?

As a Junior LAMP Stack Developer, you may initially find it challenging to adapt to an established codebase and development workflow, especially if the project uses custom configurations or frameworks on top of the standard Linux, Apache, MySQL, and PHP stack. Collaborating effectively with more experienced developers and learning to follow best practices in version control, debugging, and code documentation are also common hurdles. However, most teams offer structured onboarding and mentorship to help new developers integrate smoothly and develop their technical and communication skills.
What are popular job titles related to Junior Lamp Stack Developer jobs in Seattle, WA? For Junior Lamp Stack Developer jobs in Seattle, WA, the most frequently searched job titles are:

Senior AI Engineer - Privacy

Saransh Inc

Bellevue, WA โ€ข On-site

$117K - $162K/yr

Contractor

Re-posted 7 days ago


Job description

Role: Senior AI Engineer – Privacy
Location: Bellevue, WA (Onsite from Day 1)
Job Type: Contract
 
Must Have Skills:
  • 7 yrs of exp – AI Engineer – Privacy
  • 7 yrs of exp – Azure Data Factory, Azure , GitLab
  • 5 yrs of exp – Databricks, Snowflake
Description:
  • The Senior AI Engineer – Privacy will design, build, and operationalize AI and agentic systems that power Client data privacy platform at scale.
  • Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation model capabilities to automate, enhance, and scale privacy operations — including Data Subject Request (DSR) processing, consent management, regulatory compliance monitoring, and privacy impact assessment workflows — across a customer base of over 100 million.

AI Agent & LLM Engineering
• Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent.
• Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g. Claude, Gemini, GPT-4) into production privacy applications.
• Implement structured prompting, decision workflows, and tool orchestration — including MCP (Model Context Protocol)-based architectures — for autonomous agent systems.
• Build AI-powered automation for privacy operations including intelligent DSR routing, threshold monitoring, agentic data quality checks, and automated regulatory notifications.
• Enable human-in-the-loop controls and escalation paths for AI-assisted decisions in sensitive privacy workflows.
Data & ML Engineering
• Build and optimize data pipelines using Azure Data Factory, Databricks, Snowflake, or PySpark to support AI model training, fine-tuning, and inference.
• Apply prompt engineering, few-shot learning, and fine-tuning techniques to adapt foundation models for privacy-specific use cases.
• Implement vector databases and embedding strategies to power RAG pipelines over Client internal privacy knowledge bases and policy documents.
• Ensure data quality, lineage, and governance standards are maintained across all AI training and inference pipelines.
Cloud & MLOps
• Deploy and manage AI workloads on Azure or AWS, including serverless inference endpoints, container registries, and GPU/compute resources.
• Build and maintain CI/CD pipelines for AI model deployment using GitLab or Azure DevOps, applying MLOps best practices.
• Implement monitoring, alerting, and performance tracking for production AI models and agent systems using Splunk, AppDynamics, or Grafana.
• Apply containerization (Docker) and orchestration (Kubernetes) to ensure scalable and reliable AI service deployments.
Responsible AI & Compliance
• Implement responsible AI principles — including fairness, transparency, and explainability — across all AI systems used in privacy operations.
• Ensure AI-assisted workflows comply with CCPA, CPRA, TCPA, and other applicable state and federal privacy regulations.
• Design and maintain audit trails and human-in-the-loop checkpoints for AI decisions affecting consumer privacy rights.
• Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into AI solution guardrails and constraints.
Technical Leadership & Collaboration
• Partner with data engineers, full stack engineers, product managers, and privacy stakeholders to deliver end-to-end AI-powered privacy solutions.
• Mentor junior engineers on AI/ML engineering practices, agentic patterns, and responsible AI design principles.
• Produce clear technical documentation, architecture diagrams, and model cards for AI systems in production.
• Contribute to internal accelerators, reusable AI component libraries, and the broader engineering community of practice.