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Full Time Aws Serverless Developer Jobs in Dallas, TX

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... You will focus on cloud modernization, data engineering, and AI/ML integration to drive business ...

Forhyre

Consultant NodeJs with AWS (cloud)

Plano, TX · On-site

$49 - $63.50/hr

The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer ... Serverless Deployment If you possess the required skills and experience for this role, we would ...

Photon

BackEnd Developer-Boston, MA

Dallas, TX · On-site

Hands-on experience with AWS , including EKS for orchestration and Lambda for serverless computing ... full time employees. This position is not available for independent contractors No applications ...

Forhyre

Consultant NodeJs with AWS (cloud)

Dallas, TX · On-site

$50.75 - $65.50/hr

The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer ... Serverless Deployment If you possess the required skills and experience for this role, we would ...

Photon

BackEnd Developer-Boston, MA

Dallas, TX · On-site

Hands-on experience with AWS , including EKS for orchestration and Lambda for serverless computing ... full time employees. This position is not available for independent contractors No applications ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

Serverless Application Development : Use AWS Lambda functions to build serverless solutions for ... Strong programming skills in Python with experience using PySpark and Pandas for large-scale data ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Serverless Application Development : Use AWS Lambda functions to build serverless solutions for ... Strong programming skills in Python with experience using PySpark and Pandas for large-scale data ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

Serverless Application Development : Use AWS Lambda functions to build serverless solutions for ... Strong programming skills in Python with experience using PySpark and Pandas for large-scale data ...

Abode TechZone, LLC

Sr. AWS Cloud Engineer

Frisco, TX · On-site

$52.50 - $70.25/hr

Abode TechZone, LLC is a technology company seeking a Sr. AWS Cloud Engineer for an onsite role ... serverless services (Lambda, Cloud Functions), event-driven architectures (SNS/SQS, Event Hub, Pub ...

Saransh Inc

Senior Cloud Engineer - Full Time

Dallas, TX · On-site

$55.25 - $73.75/hr

Senior Cloud Engineer Location: Dallas, TX (Day 1 Onsite) Job Type: Full Time Required Skills ... Experience with serverless platforms such as AWS Lambda and Google Cloud Functions.

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All JobsAws Serverless Developer JobsFull Time Aws Serverless Developer JobsFull Time Aws Serverless Developer Jobs in Dallas, TX

Full Time Aws Serverless Developer information

What does a full time AWS serverless developer do?

A Full Time AWS Serverless Developer designs, develops, and maintains cloud-based applications using AWS serverless services like Lambda, API Gateway, DynamoDB, and S3. Their work involves building scalable and cost-effective solutions that don't require managing traditional servers. They are responsible for writing code, integrating AWS services, troubleshooting issues, and ensuring the security and performance of applications. Serverless developers also collaborate with other team members to deliver robust solutions aligned with business needs.

What are the key skills and qualifications needed to thrive as a full time AWS serverless developer?

To thrive as a Full Time AWS Serverless Developer, you need strong programming skills (such as Python, Node.js, or JavaScript), in-depth knowledge of serverless architecture, and hands-on experience with AWS services like Lambda, API Gateway, and DynamoDB. Familiarity with cloud development tools, Infrastructure as Code (IaC) solutions like AWS CloudFormation or SAM, and relevant AWS certifications (e.g., AWS Certified Developer – Associate) are typically required. Problem-solving, effective communication, and a collaborative mindset are crucial soft skills in this role. These skills ensure the development of efficient, scalable, and reliable serverless applications that align with business objectives and adapt quickly to changing requirements.

What are the common challenges faced by a full time AWS serverless developer when deploying applications at scale?

A Full Time AWS Serverless Developer often encounters challenges related to managing the complexity of distributed serverless architectures, such as coordinating multiple AWS Lambda functions, ensuring efficient API Gateway integrations, and handling cold starts. Monitoring and debugging across numerous microservices can also be more complex than in traditional architectures. Additionally, optimizing costs and managing service limits require careful planning, especially as applications scale and usage patterns change. Collaboration with DevOps and security teams is crucial to ensure best practices in deployment and compliance.

What is the difference between Full Time Aws Serverless Developer vs Cloud Engineer?

AspectFull Time Aws Serverless DeveloperCloud Engineer
CredentialsAWS certifications (e.g., AWS Certified Developer - Associate), knowledge of serverless architectureAWS certifications, cloud platform certifications, broader cloud architecture knowledge
Work EnvironmentFocus on designing, developing, and deploying serverless applications on AWSManage and optimize cloud infrastructure across multiple services and platforms
Industry UsagePrimarily in companies adopting serverless solutions and AWS cloudIn diverse organizations managing overall cloud infrastructure, including serverless components

While both roles involve AWS cloud expertise, a Full Time Aws Serverless Developer specializes in building serverless applications using AWS services, whereas a Cloud Engineer manages broader cloud infrastructure, including serverless, virtual machines, and networking. The developer role is more focused on application development, while the engineer oversees the entire cloud environment.

What cities near Dallas, TX are hiring for Full Time Aws Serverless Developer jobs?

Cities near Dallas, TX with the most Full Time Aws Serverless Developer job openings:

Full Time Aws Serverless Developer jobs near you
Infographic showing various Full Time Aws Serverless Developer job openings in Dallas, TX as of June 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AWS Solutions Architect- AI/ML

Cloudelligent

Dallas, TX • On-site

$64 - $84/hr

Full-time

Re-posted 12 days ago

Job description

 Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
  • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
  • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
  • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
  • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
  • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
  • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
  • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
  • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
Requirements
  • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
  • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
  • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
  • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
  • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
  • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
Highly Preferred
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect – Associate or Professional

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