

Aditi Consulting
Principal Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Consultant with a contract length of over 6 months, offering a pay rate of $92.90 - $102.60/hr. Key skills required include Kubernetes, REST API, and Kafka. Experience in application redesign and orchestration is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
816
-
🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Kafka (Apache Kafka) #Kubernetes #AI (Artificial Intelligence) #Consulting #API (Application Programming Interface) #REST (Representational State Transfer) #REST API #Base #Observability
Role description
Payrate: $92.90 - $102.60/hr.
Responsibilities:
• Company will provide Professional Services to assist Client with the following tasks:
• Participating in technical discussions with EC & IST application team to understand technical requirements and establish implementation plan
• Assisting with Scheduling / Orchestration workflow process development and delivery
• Assist with implementation of streaming out Observability data from MKS (Brokerage Kubernetes Service) to the Kafka instance
• Participating in technical discovery around application states and understanding what the application requirements will be around application and POD states.
• Provide recommendations and assist with any identified changes to applications and application functionality to accommodate required Application state with Kubernetes API integration
• Reviewing requirements and provide application recommendations around using OpenShift Kubernetes APIs for scaling-up and scaling-down
• Exposing incompatible application state via REST API or similar capability to allow application to fetch the state that it should be in and drive application behavior, as implemented in application code
• Preparing recommendations around requirements for application redesign to integrate needed custom application states
• Implementing and building customized features in MKS (e.g., Operator) to auto-scale (up or down) the POD in MKS and not intervened by Flux
• Implementing and building customized features (e.g., Operator) in MKS to support compatible scheduling capabilities (e.g., scaling Pod counts to zero) not intervened by Flux
• Troubleshooting and remediating any issues associated with the scheduling / orchestration implementation on MKS
Pay Transparency: The typical base pay for this role across the U.S. is: $92.90 - $102.60/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.s
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting privacy@aditiconsulting.com.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy
#AditiConsulting
#25-23751
Payrate: $92.90 - $102.60/hr.
Responsibilities:
• Company will provide Professional Services to assist Client with the following tasks:
• Participating in technical discussions with EC & IST application team to understand technical requirements and establish implementation plan
• Assisting with Scheduling / Orchestration workflow process development and delivery
• Assist with implementation of streaming out Observability data from MKS (Brokerage Kubernetes Service) to the Kafka instance
• Participating in technical discovery around application states and understanding what the application requirements will be around application and POD states.
• Provide recommendations and assist with any identified changes to applications and application functionality to accommodate required Application state with Kubernetes API integration
• Reviewing requirements and provide application recommendations around using OpenShift Kubernetes APIs for scaling-up and scaling-down
• Exposing incompatible application state via REST API or similar capability to allow application to fetch the state that it should be in and drive application behavior, as implemented in application code
• Preparing recommendations around requirements for application redesign to integrate needed custom application states
• Implementing and building customized features in MKS (e.g., Operator) to auto-scale (up or down) the POD in MKS and not intervened by Flux
• Implementing and building customized features (e.g., Operator) in MKS to support compatible scheduling capabilities (e.g., scaling Pod counts to zero) not intervened by Flux
• Troubleshooting and remediating any issues associated with the scheduling / orchestration implementation on MKS
Pay Transparency: The typical base pay for this role across the U.S. is: $92.90 - $102.60/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.s
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting privacy@aditiconsulting.com.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy
#AditiConsulting
#25-23751





