Amazon Web Services EKS

EITAcies, Inc.

United States

2 months ago

Apply on dice.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Microsoft Azure Computer Programming Software Debugging DevOps Monitoring of Systems Python (Programming Language) NoSQL Performance Tuning

+13 more

Reliability Engineering Software Deployment Software Vulnerability Management Generative AI Git Cloudformation Kubernetes Infrastructure Automation Frameworks Apache Kafka Virtual Agents Terraform Network Server AWS EKS

Job description

Build, manage, and support Kafka and NoSQL platforms in production environments.

Design, implement, and maintain scalable platform architectures and deployment solutions.

Develop and maintain automation tools for infrastructure provisioning, monitoring, and operational

workflows.

Integrate AI/GenAI capabilities into operational tools and platform management processes.

Design and implement CI/CD pipelines and Infrastructure as Code solutions.

Execute and manage code deployments across development, testing, staging, and production

environments.

Troubleshoot and resolve platform, infrastructure, and application issues across all environments.

Monitor system performance, reliability, availability, and security, and drive continuous improvements.

Collaborate with development, operations, and architecture teams to improve platform efficiency and

developer productivity.

Drive operational excellence through automation, observability, reliability engineering, and proactive

issue resolution.

Requirements

8+ years of overall IT industry experience.

5+ years of hands-on experience with Kafka or NoSQL technologies.

Strong programming skills in Python and/or Java, with a focus on automation and tooling.

Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Git, CloudFormation, and

Terraform.

Experience with at least one cloud platform: AWS, Azure, or Kubernetes-based environments.

Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based

automation tools.

Strong Linux/Unix administration and troubleshooting experience.

Excellent analytical, debugging, problem-solving, verbal, and written communication skills.

Preferred Qualifications

Experience with DevOps and Site Reliability Engineering (SRE) practices.

Strong production support, incident management, issue triaging, and root cause analysis experience.

Experience with Docker and Kubernetes administration, deployment, and performance tuning.

Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring

cloud/system/device logs.

Experience designing self-service platforms and operational automation solutions., A self-driven engineer who can take ownership of complex platform challenges, build innovative

automation and AI-driven solutions, communicate effectively with stakeholders, and operate with

minimal supervision in a fast-paced production environment.

Amazon Web Services (AWS) No 2-5 Years Is Required

Amazon Web Services S3 (AWS S3) No 2-5 Years Is Required

Amazon Web Services EKS (AWS EKS) No 2-5 Years Is Required

Apache Kafka No 2-5 Years Is Required

Artificial Intelligence No At least 1 year Is Required