Why This Role Stands Out
This hybrid role offers an exciting opportunity to shape modern cloud architecture on AWS, automate deployments, and leverage cutting-edge AI tools, perfect for a mid-senior engineer passionate about innovation and efficiency. You'll gain valuable experience in SRE best practices and AI-driven operations, contributing to a dynamic technology environment. Apply now to advance your career in cloud and AI engineering!
Quick Overview
Job Description
We are seeking a Cloud Platform & AI/DevOps Engineer to join our team in Hartford, CT. In this hybrid role, you will be key in driving modern cloud architecture on AWS, automating deployments, implementing SRE best practices, and applying advanced Generative and Agentic AI tools to enhance engineering operations.
location: Hartford, Connecticut
job type: Contract
salary: $35 - 40 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Design, deploy, and maintain scalable cloud infrastructure on AWS.
- Implement AI/GenAI and Agentic AI solutions to automate operational workflows.
- Create and manage CI/CD pipelines using GitHub, Jenkins, and Terraform (IaC).
- Drive SRE practices including system observability, proactive monitoring, and incident response.
- Write clean Python scripts to automate routine engineering and operations tasks.
qualifications:
REQUIRED QUALIFICATIONS
Bachelor's degree (Undergraduate) in Computer Science, Engineering, or a related field.
2-4 years of experience in Cloud (AWS), DevOps, and SRE environments.
Strong proficiency in Infrastructure as Code (Terraform) and CI/CD tooling (GitHub/Jenkins).
Practical experience or exposure to Generative AI and Agentic AI engineering applications.
Hands-on scripting skills in Python for operational automation.
PREFERRED QUALIFICATIONS
Experience with container orchestration using Kubernetes and AWS EKS.
AWS Certifications (e.g., Solutions Architect, SysOps, or DevOps Engineer).
Familiarity with enterprise-level observability and monitoring frameworks.
skills:
AWS,AWS cloud infrastructure,AI,AI capabilities,Cloud,scalable cloud infrastructure,Cloud Platform,DevOps Engineering,DevOps,modern DevOps practices,embedding,Enterprise Application,Generative,GitHub,Infrastructure automation,Infrastructure as Code (IaC),Jenkins,Kubernetes,Monitoring Tools,proactive monitoring,Python,Site Reliability,reliability engineering,Scripting,SRE practices,application deployment,Software Engineering,Terraform,Agentic AI,passionate,strong problem-solving skills,reliability,automating,automate,scripting automation,edge AI,incident management,infrastructure,engineering operations,Managed Services,use cases,operational workflows,workflows
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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