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Kafka Platform Engineer

Austin, TX • Posted 1 day ago • Updated 10 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Authentication
Authorization
Encryption
Network
High Availability
Disaster Recovery
Replication
Regulatory Compliance
Streaming
Data Modeling
Apache Avro
JSON
Enterprise Integration
Use Cases
Testing
Software Development Methodology
Orchestration
System Integration
GitHub
Prompt Engineering
Workflow
Python
Ansible
Scripting
Continuous Integration
Continuous Delivery
Microsoft Azure
Jenkins
Puppet
Progress Chef
Problem Solving
Root Cause Analysis
Incident Management
Stakeholder Engagement
Leadership
Customer Focus
Messaging
Linux
Unix
Computer Networking
DevOps
Artificial Intelligence
Productivity
Communication
Relationship Management
Collaboration
Teamwork
Apache Kafka
Cloud Computing

Authentication
Authorization
Encryption
Network
High Availability
Disaster Recovery
Replication
Regulatory Compliance
Streaming
Data Modeling
Apache Avro
JSON
Enterprise Integration
Use Cases
Testing
Software Development Methodology
Orchestration
System Integration
GitHub
Prompt Engineering
Workflow
Python
Ansible
Scripting
Continuous Integration
Continuous Delivery
Microsoft Azure
Jenkins
Puppet
Progress Chef
Problem Solving
Root Cause Analysis
Incident Management
Stakeholder Engagement
Leadership
Customer Focus
Messaging
Linux
Unix
Computer Networking
DevOps
Artificial Intelligence
Productivity
Communication
Relationship Management
Collaboration
Teamwork
Apache Kafka
Cloud Computing

Summary

Kafka Platform Engineer

Assignment Details

Location: Onsite, Austin, TX - 4 days/week
Duration: 12-month contract

Top 3 Must-Have Skills

Experience with the Confluent Kafka Platform

Experience with both on-prem and cloud environments

Experience leveraging AI-powered tools and building AI-driven agents

Key Responsibilities
Security & Compliance

Design and implement secure Kafka architectures, including authentication, authorization, encryption, and network isolation
Define and support high availability, disaster recovery, and data replication strategies
Ensure alignment with enterprise security, compliance, and governance standards

Data Streaming & Integration

Advise on data ingestion, event streaming, and batch/stream processing architectures
Provide guidance on data modeling and serialization standards (Avro, Protobuf, JSON Schema)
Support enterprise integration use cases and resolve complex Kafka-related integration challenges

AI Development

Design and build AI agents, custom skills, or equivalent frameworks to automate engineering and operational workflows at scale
Leverage AI-powered tools (e.g., Copilot, AI agents) to accelerate development, automate testing, improve code quality, and enable intelligent SDLC workflows
Design agentic workflows and multi-agent orchestration patterns to solve complex distributed systems, integration, and operational challenges
Strong hands-on experience with GitHub Copilot and other AI-assisted development tools, including advanced prompt engineering and workflow integration
Proven ability to leverage AI-assisted development and build AI-driven agents/workflows to improve team productivity and engineering efficiency

Automation & DevOps Enablement

Drive automation-first operations using Python, Ansible, and scripting
Build and maintain self-service operational tools to reduce day-to-day support overhead
Integrate Kafka platform operations with DevOps and CI/CD tooling (e.g., Azure, Jenkins, Puppet, Chef)

Incident Management & Problem Resolution

Lead deep-dive investigations into complex production issues and outages
Perform root cause analysis, document findings, and drive remediation to closure
Operate effectively in high-pressure outage and incident management scenarios

Advisory & Stakeholder Engagement

Act as a trusted technical advisor to Schwab engineering, operations, and leadership teams
Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Demonstrate strong customer focus, ownership, and onshore engagement
Collaborate effectively with cross-functional teams and vendors

Required Experience & Skills

10+ years of experience in distributed systems, messaging, and enterprise platform engineering
Extensive hands-on experience with the Confluent Kafka Platform (on-prem and cloud)
Strong background in Linux/Unix environments, networking, OS performance, and security
Proven experience with automation, DevOps, and operational tooling
Experience leveraging AI-powered tools to accelerate development and improve team productivity and efficiency
Excellent written and verbal communication skills
Strong organizational, relationship management, and teamwork skills

Preferred Qualifications

Confluent Kafka and/or cloud certifications
Prior experience supporting large-scale, regulated enterprise environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10454504
Position Id: 2be531b7f7f5495be9a9db9ee2bc32db
Posted 1 day ago

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