United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Automation Engineer in the United States.
In this role, you will design, build, and maintain automated cloud infrastructure and deployment pipelines to support advanced software and machine learning initiatives. You will work with AWS services, containerization, and modern automation tools to optimize deployment, scalability, and reliability of cloud-hosted applications. Collaborating with cross-functional teams, you will help accelerate the delivery of high-impact solutions while ensuring systems are secure, efficient, and performant. This role offers the opportunity to influence architecture, automation strategies, and operational best practices. The ideal candidate is proactive, technically adept, and thrives in a dynamic, fast-paced environment where their work directly supports critical outcomes.
Accountabilities:
- Build, deploy, and maintain automated pipelines for cloud-hosted services on AWS.
- Support machine learning model development and training through ETL and EMR jobs.
- Deploy and maintain machine learning tools such as Apache Spark, ML Flow, and Amazon SageMaker.
- Implement infrastructure-as-code solutions and manage CI/CD processes using tools like Terraform, Ansible, or GitHub Actions.
- Monitor cloud applications and systems to ensure high availability, security, and performance.
- Collaborate with cross-functional teams to troubleshoot issues and optimize cloud operations.
- Stay current with emerging cloud technologies and recommend improvements to processes and architectures.
Requirements
- Bachelor’s degree in Computer Science or related field with 3+ years of software development experience in Java or Python, or a High School Diploma/GED with 10+ years of relevant experience.
- 3+ years of AWS deployment experience using tools such as AWS CLI, CloudFormation, CodePipeline, or CodeBuild.
- 3+ years of experience with software deployment automation tools like Ansible, Packer, Terraform, or GitHub Actions.
- Experience with containerization technologies such as Docker, Kubernetes, or AWS ECS.
- Familiarity with serverless cloud technologies (e.g., AWS Lambda).
- Experience in a data science environment, handling large datasets and ML workflows.
- Strong problem-solving skills, collaboration, and ability to work independently in a remote setting.
- Bonus: Experience with Amazon SageMaker, ML Flow, or similar ML tools; prior exposure to healthcare or regulated industries.
Benefits
- Competitive annual salary: $119,076 – $145,537, including potential variable incentive pay.
- Comprehensive medical, dental, and vision insurance.
- Retirement benefits and 401(k) options.
- Life, short-term, and long-term disability coverage.
- Remote work flexibility with occasional travel (10–20%).
- Relocation assistance if applicable.
- Opportunities for professional growth and development in a cutting-edge technology environment.
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 3 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 handled by their internal hiring team.
India only
