This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AWS Software Engineer/App Modernization Cloud Consultant in the United States.

This role provides an exciting opportunity to design, build, and deploy cloud-native applications while guiding customers through their AWS cloud journey. You will work closely with clients to assess existing architectures, modernize applications, and implement scalable solutions that enhance performance, resiliency, and operational efficiency. The position emphasizes hands-on coding, automation, and infrastructure provisioning, as well as collaboration across teams to deliver measurable outcomes. The ideal candidate thrives in client-facing environments, enjoys solving complex technical challenges, and has deep expertise in AWS services, cloud-native frameworks, and application modernization strategies.

Accountabilities:
Consult, plan, and implement cloud-native application solutions for clients.
Review customer architectures and recommend iterative modernization strategies.
Build, test, and deploy application and infrastructure enhancements using AWS services.
Develop and automate DevOps pipelines to improve software development lifecycle efficiency.
Provide technical leadership, knowledge transfer, and guidance to client teams.
Create reference architectures, technical content, and documentation to support cloud adoption.
Collaborate with internal teams and client stakeholders to ensure successful project delivery.
Requirements:
7+ years of professional experience in software development and AWS architecture/app modernization.
Hands-on expertise with AWS services including EC2, Lambda, S3, VPC, CloudFormation, ECS/EKS, CloudWatch, IAM, and related tools.
Experience with Terraform, Azure DevOps/TFS, CI/CD pipelines, and infrastructure automation.
Proficiency in programming languages such as Java, Python, C#, C/C++, JavaScript, Node.js , React, Angular, or Vue.
Strong problem-solving, communication, and collaboration skills for client-facing engagements.
Optional but preferred: Experience with AWS AI/ML services (SageMaker, Glue, Firehose), Snowflake, Vault, or Dynatrace.
Must be legally authorized to work in the United States without sponsorship.
Benefits:
Flexible work environment including remote options.
Opportunities to work on high-impact cloud modernization projects with diverse clients.
Professional growth and skill development in AWS cloud technologies and DevOps practices.
Collaboration with expert teams in cloud engineering, software development, and solution architecture.
Competitive salary and benefits package including healthcare coverage, retirement contributions, and paid time off.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.