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Remote Aws Serverless Developer Jobs in Arizona (NOW HIRING)

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1-20- Network Engineer

Phoenix, AZ · Remote

$45 - $52/hr

Primarily remote, but they will need to come into the office 4-6 times a year, as well as for the ... Promoting and advancing team efficiencies and capabilities through DevOps/automation improvements.

Henpen Corporation

TS/SCI/Sr Software Developer

Tucson, AZ · On-site +1

$51.50 - $68/hr

... AWS) • Knowledge of Javascript and web technologies such as VueJS or React • Experience ... Remote work/telework is not available for this position. Qualifications What required background ...

Relativity

Software Engineer

Phoenix, AZ · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience ...

Apex Systems

Senior Cloud Database Engineer

Phoenix, AZ · Remote

$55 - $70/hr

Phoenix, Arizona (Partial Remote) Employment Type: Contract Role Overview We are seeking a highly ... Technical Skills: Strong expertise with AWS and proficiency in cloud database services. Solid ...

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What are the key skills and qualifications needed to thrive as a Remote AWS Serverless Developer, and why are they important?

To thrive as a Remote AWS Serverless Developer, you need strong skills in cloud computing, programming (especially in languages like Python or Node.js), and deep knowledge of AWS serverless services such as Lambda, API Gateway, and DynamoDB. Familiarity with AWS CloudFormation, SAM, CI/CD pipelines, and AWS certifications like AWS Certified Developer – Associate are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you excel in distributed team environments. Mastering these competencies ensures you can build scalable, efficient serverless solutions while collaborating seamlessly with global teams.

How does a Remote AWS Serverless Developer typically collaborate with other team members across different time zones?

As a Remote AWS Serverless Developer, you’ll often work with cross-functional teams including front-end developers, DevOps engineers, and project managers who may be distributed globally. Effective collaboration relies heavily on clear communication through tools like Slack, Jira, and regular video meetings. You’ll likely take part in code reviews, sprint planning, and architecture discussions asynchronously to accommodate varying time zones. Documenting your work and maintaining up-to-date status reports are important to keep everyone aligned and ensure smooth project progress.

What is a Remote AWS Serverless Developer?

A Remote AWS Serverless Developer is a software engineer who specializes in building and maintaining applications using Amazon Web Services (AWS) serverless technologies, such as AWS Lambda, API Gateway, DynamoDB, and others, while working remotely. These professionals design, code, and deploy scalable solutions without managing traditional server infrastructure. Their responsibilities often include writing cloud functions, integrating AWS services, automating deployment processes, and ensuring high performance and security standards. They collaborate with teams using online tools and are knowledgeable about cloud architecture best practices.
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Remote Aws Serverless Developer jobs near you

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Chandler, AZ • On-site, Remote

$55 - $73.25/hr

Full-time

Posted yesterday

Job description

AI Engineer – GenAI, MLOps & Cloud Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise AI solutions. This role emphasizes building intelligent systems using modern ML, GenAI, and cloud-native technologies.

Key Responsibilities:

  • Develop and operationalize machine learning and GenAI models
  • Build scalable data and model pipelines using cloud technologies
  • Partner with cross-functional teams to deliver AI-driven insights
  • Ensure scalability, performance, and governance of AI systems

Required Skills:

  • Hands-on experience in ML engineering, MLOps, and model lifecycle management
  • Strong programming skills in Python and ML frameworks
  • Experience with cloud ecosystems (AWS, Azure, GCP)
  • Knowledge of distributed data processing and integration

Nice to Have / Coverage:

  • Experience with Databricks, Snowflake, or BigQuery for data engineering workflows
  • Familiarity with LangChain and agent-based AI systems
  • Exposure to enterprise AI governance and compliance standards
  • Experience collaborating with cloud/data platform architects

For more details reach at resumes@navitassols.com.