Kafka DevOps Engineer

EITACIES Inc.

San Francisco (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Company parties

Health insurance

Opportunity for advancement

Job summary

EITACIES Inc. is seeking an experienced engineer to take ownership of complex platform challenges and build innovative automation solutions. You will manage Kafka and NoSQL platforms, design scalable architectures, and integrate AI capabilities into operational tools.

The ideal candidate has strong programming skills in Python or Java, experience with CI/CD and cloud platforms, and can work independently in a fast-paced environment. This role offers health insurance and opportunities for advancement.

Qualifications

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, focusing on automation.
Experience with CI/CD pipelines and Infrastructure as Code tools.
Experience with at least one cloud platform: AWS, Azure, or Kubernetes.
Experience building AI‑powered solutions or GenAI‑based automation tools.
Strong Linux/Unix administration experience.
Excellent analytical, debugging, and communication skills.

Responsibilities

Build and support Kafka and NoSQL platforms in production.
Design and implement scalable platform architectures.
Develop automation tools for infrastructure provisioning.
Integrate AI/GenAI capabilities into operational tools.
Implement CI/CD pipelines and Infrastructure as Code.
Troubleshoot and resolve application issues across environments.
Monitor system performance and drive improvements.
Collaborate with teams for efficiency and productivity.

Skills

AWS

AWS S3

AWS EKS

Apache Kafka

Artificial Intelligence

AWS-EC2

GitHub

Kubernetes

NoSQL

Python

Job description

Benefits

Company parties
Health insurance
Opportunity for advancement

Required Qualifications

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.

Key Responsibilities

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.

Ideal Candidate

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.

Required Skills