Kafka Infra Automation Engineer

LTM; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Paid Vacation and Holidays

Parental Leave

Job summary

LTIMindtree in Plano, Texas seeks an experienced Kafka Infrastructure Automation Engineer with 7–10 years in infrastructure automation to design, deploy and manage Confluent Kafka platforms across private and public clouds.

You will implement IaC using Terraform, Python, and Ansible; collaborate across engineering, operations, security; and drive automation, reliability and security controls for scalable messaging systems.

Qualifications

• 7–10 years in DevOps, Infrastructure Engineering, or Platform Engineering.
• Hands-on expertise with Confluent Kafka and Apache Kafka.
• Proficient in Terraform for IaC.
• Strong automation using Python and Ansible.
• Experience with AWS, Azure, or GCP or private clouds.
• Solid understanding of CI/CD, configuration management, and security controls.

Responsibilities

• Design, develop, and maintain infrastructure automation for Confluent Kafka environments across cloud platforms.
• Develop IaC solutions using Terraform and automation with Python/Ansible.
• Translate business requirements from LOB teams into scalable technical solutions.
• Collaborate with Engineering, Operations, Security, and Applications teams to optimize messaging infra.
• Create automation for provisioning, testing, validation, and operational support.
• Troubleshoot deployment, performance, and platform stability issues.
• Define and implement IT security standards, controls, and risk mitigation.
• Document designs, procedures, and implementation plans; drive automation and reliability initiatives.
• Enable secure, scalable, highly available cloud infrastructure solutions.

Skills

Confluent Kafka

Terraform

Python

Ansible

AWS

Azure

GCP

CI/CD

Linux/Unix

Security controls

Tools

Confluent Kafka

Terraform

Python

Ansible

Job description

Job Summary

We are seeking an experienced Kafka Infrastructure Automation Engineer with 7-10 years of infrastructure automation experience The ideal candidate will be responsible for designing developing and automating the deployment and management of Confluent Kafka platforms across private and public cloud environments

Role Description

This role requires strong expertise in Terraform Python and Ansible along with the ability to collaborate with engineering operations security and application teams to deliver scalable secure and resilient messaging solutions Relevant enterprise references show strong alignment with Confluent Kafka Terraformbased infrastructure automation Python scripting and securityfocused platform engineering

Key Responsibilities

• Design develop and maintain infrastructure automation solutions for deploying and managing Confluent Kafka environments across cloud platforms
• Develop Infrastructure as Code IaC solutions using Terraform and automation frameworks using Python and Ansible
• Gather and analyze business requirements from Line of Business LOB teams and translate them into scalable technical solutions
• Collaborate with Engineering Operations and Application Support teams to design and optimize messaging infrastructure and Kafka services
• Create automation for platform provisioning testing validation and operational support activities
• Troubleshoot and resolve issues related to infrastructure deployment testing performance and platform stability
• Define and implement IT security standards controls and best practices across complex projects
• Perform security risk assessments and recommend mitigation strategies to address vulnerabilities and compliance requirements
• Document technical designs operational procedures security controls and implementation plans
• Drive continuous improvement initiatives focused on automation reliability resiliency and operational excellence
• Act as a key contributor in enabling secure scalable and highly available cloud infrastructure solutions

Required Skills

• 7-10 years of experience in DevOps Infrastructure Engineering or Platform Engineering
• Strong handson experience with Confluent Kafka Apache Kafka
• Expertise in Terraform for Infrastructure as Code IaC
• Strong programming and automation experience using Python and Ansible
• Experience with cloud platforms AWS Azure GCP or private cloud environments
• Strong understanding of CICD pipelines infrastructure automation and configuration management
• Knowledge of messaging systems distributed systems and eventdriven architectures
• Experience with LinuxUnix administration and shell scripting
• Strong troubleshooting debugging and problemsolving skills
• Experience with security controls risk management and compliance frameworks

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.