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Remote Amazon Php Developer Jobs in Texas (NOW HIRING)

Kobie Marketing

AI Engineer

Dallas, TX · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Loop

Engineering Manager, Support & Stability

Austin, TX · On-site +1

$150K - $190K/yr

About the Engineering Organization The Engineering Team at Loop is a balance of agility ... Austin, TX; Los Angeles, CA; or fully remote. Our Tech Stack and Tools PHP/Laravel, Vue.js, MySQL ...

AxisCare

Software Engineering Manager

Waco, TX · Remote

Remote work demands clear writing, clear writing is clear thinking, and clear thinking is how you ... Experience building with PHP and React, or closely analogous stacks. You don't need to be the best ...

Citamed

Software Engineer

San Juan, TX · On-site +1

We are looking for Software Engineers that want to help Citamed get to the next level. If working ... Amazon Web Services. * Availability to work in San Juan and with remote working options Applicant ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... AI frameworks - Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and ...

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Remote Amazon Php Developer information

What does a remote Amazon PHP developer do?

A Remote Amazon PHP Developer is responsible for building and maintaining applications or integrations that interact with Amazon's ecosystem, such as Amazon Marketplace, AWS, or internal business tools. They use the PHP programming language to develop backend services, APIs, or automation tools, often focusing on e-commerce solutions. Working remotely, they collaborate with teams and clients online, ensuring smooth data flow between Amazon platforms and company systems. Their role may also include troubleshooting issues, optimizing code, and maintaining security standards.

What is the difference between Remote Amazon Php Developer vs Remote Magento Developer?

AspectRemote Amazon Php DeveloperRemote Magento Developer
Required SkillsPHP, Amazon Web Services (AWS), API integration, e-commercePHP, Magento platform, e-commerce, front-end & back-end development
Work EnvironmentRemote, cloud-based, Amazon-focused projectsRemote, Magento platform projects, e-commerce stores
CertificationsPHP certifications, AWS certificationsMagento certifications, PHP certifications
Industry UsageAmazon sellers, e-commerce platformsMagento-based online stores, retail businesses

Both roles require PHP expertise and remote work experience, but the Remote Amazon Php Developer focuses on Amazon integrations and AWS, while the Remote Magento Developer specializes in Magento e-commerce platforms. Your choice depends on whether you prefer working with Amazon's ecosystem or Magento-based online stores.

What are the key skills and qualifications needed to thrive as a remote Amazon PHP developer, and why are they important?

To thrive as a Remote Amazon PHP Developer, you need strong PHP programming skills, experience with Amazon Web Services (AWS), and a solid understanding of web development principles, often supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, AWS tools (such as Lambda, S3, and EC2), and frameworks like Laravel or Symfony is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help set candidates apart. These competencies are essential for building scalable, secure web solutions, collaborating across distributed teams, and meeting the technical demands of Amazon-integrated applications.

What are some common challenges remote Amazon PHP developers face when integrating with Amazon Web Services (AWS) APIs?

Remote Amazon PHP Developers often encounter challenges such as managing secure authentication with AWS services, handling rate limits, and ensuring efficient error handling when integrating with Amazon's APIs. Working remotely also means clear communication with cross-functional teams is essential, especially when troubleshooting API issues or coordinating deployments. Familiarity with AWS SDK for PHP and staying updated on Amazon’s evolving API documentation are key to overcoming these hurdles.
What cities in Texas are hiring for Remote Amazon Php Developer jobs? Cities in Texas with the most Remote Amazon Php Developer job openings:
Remote Amazon Php Developer jobs near you

AI Engineer

Kobie Marketing

Dallas, TX • Remote

Full-time

Re-posted 26 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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