| Location | Plano, TX |
| Salary | $52,000–$114,000 Per Year |
Careers at LTM
Kafka Infra Automation Engineer
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Role 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
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
Skills
Mandatory Skills : Ansible, Automation & Scripting, Kafka, RedHat Linux Administrator, Terraform
Good to Have Skills : Python
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:
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.
Benefits
Compensation range: $ 52,000.00 to 114,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
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