What are the responsibilities and job description for the Senior Staff Platform Engineer, Event Streaming & position at Judge Group, Inc.?
Location: Austin, TX Salary: $75.00 USD Hourly - $80.00 USD Hourly Description: Our client is currently seeking a Senior Staff Platform Engineer, Event Streaming & AI Enablement
Location: Austin, TX, USA (Hybrid: 4 days on-site per week)
About the Role
As a Senior Staff Platform Engineer, you will drive the architecture, reliability, and security of enterprise-scale distributed streaming infrastructure across hybrid cloud and on-premise environments. In this role, you will integrate advanced AI tools and agentic workflows directly into the software development life cycle (SDLC) and operations, leading high-visibility initiatives that scale messaging platforms, automate operations, and deliver mission-critical data streaming capabilities.
Responsibilities
Minimum Qualifications
Preferred Qualifications
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Location: Austin, TX, USA (Hybrid: 4 days on-site per week)
About the Role
As a Senior Staff Platform Engineer, you will drive the architecture, reliability, and security of enterprise-scale distributed streaming infrastructure across hybrid cloud and on-premise environments. In this role, you will integrate advanced AI tools and agentic workflows directly into the software development life cycle (SDLC) and operations, leading high-visibility initiatives that scale messaging platforms, automate operations, and deliver mission-critical data streaming capabilities.
Responsibilities
- Platform Architecture & Security: Architect and execute resilient, highly available Confluent Kafka deployments spanning on-premise and public cloud environments; enforce zero-trust security postures encompassing authentication, fine-grained authorization, encryption-in-transit/at-rest, and network isolation.
- Streaming Architecture & Data Governance: Define best practices for stream processing, event-driven pipelines, and schema governance using Avro, Protobuf, and JSON Schema across high-throughput enterprise systems.
- AI-Driven Operations & SDLC Modernization: Design, build, and deploy intelligent AI agents and multi-agent orchestration frameworks to automate platform workflows, optimize code quality, accelerate delivery, and modernize systems operations.
- Infrastructure Automation & Reliability: Develop self-service operational tooling, automated provisioning, and CI/CD pipelines utilizing Python, Ansible, and modern deployment frameworks to eliminate operational toil.
- Incident Management & Root Cause Remediation: Direct triage efforts during mission-critical outages, conduct exhaustive post-incident root-cause analyses (RCA), and lead systemic remediation to prevent recurrence.
- Technical Leadership & Stakeholder Partnership: Serve as a subject matter expert and strategic advisor to engineering teams, cross-functional partners, and executive stakeholders on event streaming and AI-augmented platform engineering.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, related technical field, or equivalent practical experience.
- 10 years of experience in distributed systems, messaging infrastructure, and enterprise-scale platform engineering.
- 5 years of hands-on experience designing, operating, and tuning Confluent Kafka platforms across both on-premise and public cloud environments.
- Hands-on experience developing autonomous AI agents or implementing agentic orchestration frameworks to automate technical workflows.
- Demonstrated experience with infrastructure automation, configuration management, and scripting (e.g., Python, Ansible, CI/CD toolchains).
- Deep understanding of Linux/Unix internals, kernel performance tuning, network protocols, and platform security standards.
Preferred Qualifications
- Experience operating event-driven architectures in highly regulated, high-compliance enterprise environments.
- Practical expertise with AI-assisted software development tools (e.g., GitHub Copilot, programmatic LLM integration, advanced prompt engineering, and RAG architectures).
- Working knowledge of modern configuration management and continuous delivery platforms such as Jenkins, Azure DevOps, Puppet, or Chef.
- Active industry certifications, such as Confluent Certified Developer/Administrator or professional-level Cloud Architecture certifications (Google Cloud Platform, AWS, or Azure).
- Proven track record of leading complex technical escalations, high-stakes incident remediation, and cross-organizational platform standardizations.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Salary : $75 - $80