Role: Kafka Platform Engineer
Duration: 12 Months
Location: On-Site in Austin 4 days per week
Top 3 must-have skills:
Experience with Confluent Kafka Platform
Experience with both On-Prem and Cloud
Must have experience leveraging AI powered tools and building AI driven agentsls as it relates to
- 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, batch and 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 aligned to AI-DLC vision.
- 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 to accelerate engineering
- Proven ability to leverage AI-assisted development (e.g., Copilot, code generation) 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 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.
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Spectraforce Technologies
Sep 24, 2026