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Jobs or company...

Lead DevOps AWS Engineer ID22975

Salary undisclosed

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Job Description

Job Description

This is a remote position and we are hiring candidates from the whole country.


AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.


If you like a challenging environment where you re working with the best and are encouraged to learn and experiment every day, there s no better place - guaranteed! :)


What you will do

  • Design, implement, and manage highly scalable and reliable cloud infrastructure solutions based on AWS services.

  • Deploy and manage Kubernetes clusters using best practices and industry standards.

  • Develop and maintain CI/CD pipelines utilizing Git, GitHub, and Git Actions for efficient and automated deployments.

  • Collaborate with cross-functional teams to architect, build, and deploy applications and services on the cloud platform.

  • Utilize Terraform to automate infrastructure provisioning and configuration management.

  • Ensure the cloud infrastructure and applications' availability, performance, and security.

  • Conduct regular security audits, and vulnerability assessments, and implement appropriate security controls.

  • Collaborate with DevOps and development teams to optimize application performance and troubleshoot issues.

  • Monitor and analyze cloud infrastructure usage and cost optimization, suggesting improvements and efficiencies.

  • Stay updated with the latest cloud technologies and trends, evaluating their potential benefits and implementing them as appropriate.

Must haves

  • 4+ years of experience configuring, building, and deploying applications into the cloud (AWS, DevOps Pipelines, GitHub Actions, Terraform).

  • Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Strong experience working with AWS services, including EKS, S3, RDS, IAM, VPC.

  • Solid understanding of containerization technologies, particularly Kubernetes, and experience deploying and managing Kubernetes clusters in a production environment.

  • Proficiency in version control systems such as Git and experience with GitHub and Git Actions for CI/CD pipelines.

  • Hands-on experience with Argo CD or similar continuous deployment tools.

  • Strong knowledge of infrastructure as code (IaC) principles and experience with Terraform for infrastructure provisioning and management.

  • Experience with global deployments and multi-region architectures.

  • Deep understanding of cloud security best practices and hands-on experience implementing security controls and monitoring systems.

  • Excellent troubleshooting and problem-solving skills, with the ability to analyze and resolve complex infrastructure and application issues.

  • Upper-intermediate English level.


Nice to haves

  • Relevant certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or similar are a plus.

  • Familiarity with networking concepts.

Applicants must be authorized to work for ANY employer in the US (i.e. Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD). We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The benefits of joining us

  • Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

  • Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

  • A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

  • Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office whatever makes you the happiest and most productive.



Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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