Job Description

*** AUTOMATION & SYSTEMS ENGINEERING ARE ESSENTIAL - HAVING SUPPORTED ALL THREE HYPERSCALERS [AWS, AZURE, GCP] ***

Client Name: Logix-Tech

End Client Name: SAP

Job Title: Cloud Infrastructure DevOps Engineer [Kafka on Kubernetes]

Location: REMOTE [East Coast-based candidates]

Work Type: Remote

Job Type: Contract (6+ months)

Rate: $80/hour on W2

LinkedIn need

Notes:
Status US Citizens ONLY
Interview Video(s)
Duration 6+ months with interest in employment after initial contract

Certification [list certification(s)]

References [list names/titles/company emails/company numbers/LinkedIn profiles]

Job Summary: A highly critical production environment where your expertise in automation and systems engineering is essential. Supporting all three leading hyperscalers - AWS, Azure, and GCP , you will have a unique opportunity to develop and maintain solutions across multiple cloud platforms.

MUST HAVES:

• 8+ years of experience in cloud infrastructure, DevOps, or related engineering roles.
• Deep hands-on expertise with Terraform, Ansible, Kubernetes, GitLab CI, and ArgoCD in production environments.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their core services (compute, storage, networking, IAM, serverless functions).
• Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices.
• Proficient in Linux system administration and infrastructure automation using Python.
• Experience deploying and managing Kafka on Kubernetes, including performance tuning, scaling, and monitoring in a production environment.

Please provide a MS Word resume AND have candidate quantify the following number of years AS WELL AS list clients, technologies used, certifications, and references in BLUE

QUALIFICATION

Public Sector domain number of years

US Department of Defense {list client(s)}

US Federal Government - {list client(s)}

US Intelligence Agencies - {list client(s)}

Cloud DevOps Engineering number of years

Cloud Platforms/Services number of years

AWS technologies [EC2, S3, IAM, Route53, VPC; AWS Lambda , etc.]

Azure technologies [Virtual Networks, Application Gateway, Storage Account, Virtual Machines, Load Balancer, Resource Groups; Azure Functions , etc.]

GCP technologies [Projects, Compute Engine, GKE, Cloud Storage, VPC; Google Cloud Functions , etc.]

Infrastructure-as-Code (IaC) - number of years

Terraform number of years

Ansible number of years

Linux number of years

Python number of years

CI/CD Pipelines number of years

GitLabs CI number of years

ArgoCD number of years

GitOps number of years

Containerization number of years

Kubernetes number of years

Kapka number of years

Helm number of years

Cloud Infrastructure DevOps Engineer [Kafka on Kubernetes] for {list client(s)}

Other Cloud Infrastructure DevOps roles for {list client(s)}

Certification [list certification(s)]

References [list names/titles/company emails/company numbers/LinkedIn profiles]

Job Description:

• In this role, you will leverage infrastructure-as-code (IaC), CI/CD pipelines, and container orchestration tools to ensure reliable, scalable, and secure cloud operations.
• You will also develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance.
• We emphasize cloud-agnostic automation using tools like Terraform to build reusable infrastructure that works consistently across AWS, Azure, and GCP by leveraging common features across cloud providers.
• This role involves implementing efficient engineering and operational processes, as well as establishing best practices to continuously enhance operational efficiency within and across teams.

Job Responsibilities:

• Develop and maintain reusable Terraform scripts, modify and run infrastructure code from existing modules, and troubleshoot deployment issues across AWS, Azure, and GCP environments.
• Develop new Ansible playbooks, and modify, troubleshoot, and maintain existing Ansible code to automate infrastructure configuration and management tasks.
• Configure, deploy, and manage Kubernetes clusters including networking, storage, security, service mesh, and load balancer configuration; use tools like Helm for deployment, and monitor and troubleshoot cluster performance.
• Design, implement, and maintain CI/CD pipelines using tools like GitLab CI and ArgoCD; write and optimize pipeline scripts for automated testing and deployment; leverage GitOps practices for managing infrastructure and application delivery.

Job Skills:

• Cloud Platforms - Strong hands-on experience with public cloud platforms (AWS, Azure, GCP), including core services such as virtual networking, compute, storage, IAM, serverless functions, and monitoring.
• Terraform - Deep hands-on experience developing, maintaining, and troubleshooting infrastructure-as-code using Terraform across multi-cloud environments.
• Ansible - Experience using Ansible to automate day-to-day operational tasks, including configuration management and troubleshooting of infrastructure resources.
• CI/CD & GitOps - Hands-on experience with GitLab CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using GitOps principles.
• Linux & Automation - Proficient in Linux system administration and automation using Python to streamline infrastructure management and operational tasks.
• Serverless Computing - Experience developing, deploying, and managing serverless functions using cloud-native services such as AWS Lambda, Azure Functions, and Google Cloud Functions.

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