Senior Site Reliability Engineer

Location: Austin, TX

Description:

Title: Senior Site Reliability Engineer

Location: Austin, TX - 100% On-Site

Duration: 12 Months (Contract)

Citizenship Requirement: U.S. Citizen, Permanent Resident or EAD

Position Overview:

We are seeking an experienced Senior Site Reliability Engineer (SRE) to lead our clients technical initiatives, drive DevOps excellence, and ensure the reliability and scalability of cloud-native applications. This hands-on role requires deep technical expertise in modern cloud platforms, containerization, and AI-driven development practices, combined with strong leadership and collaboration skills.

Required Skills & Qualifications:

• Proven experience in Site Reliability Engineering, Production Support, or Cloud Engineering leadership roles.
• Hands-on experience with Pivotal Cloud Foundry (PCF) or Google Cloud Platform.
• Strong understanding of containerization (Docker, Kubernetes) and CI/CD automation.
• Proficiency with databases such as MongoDB, Aerospike, SQL Server, and PostgreSQL.
• Familiarity with AI-assisted development and ML model integration.
• Excellent problem-solving, analytical, and decision-making abilities.
• Demonstrated experience in mentoring teams and leading cross-domain engineering initiatives.
• Strong collaboration, communication, and stakeholder management skills.
  
  

Key Responsibilities:

• Lead a cross-functional team through Agile/Scrum methodologies and efficient release management practices.
• Collaborate with multiple stakeholders to plan and onboard new projects and applications.
• Translate high-level architecture into detailed design and guide the team with technical oversight and best practices.
• Design, architect, and deploy cloud-native applications using Pivotal Cloud Foundry (PCF) or Google Cloud Platform (Google Cloud Platform).
• Manage and optimize databases including MongoDB, Aerospike, Microsoft SQL Server, and PostgreSQL.
• Implement and maintain containerized solutions using Docker and Kubernetes.
• Develop and support CI/CD pipelines to improve software delivery and reliability.
• Leverage AI-driven development tools (e.g., GitHub Copilot) to enhance productivity, code quality, and documentation.
• Integrate AI/ML models to support data analytics, visualization, and process automation.
• Apply AI/ML solutions to address business and operational challenges.
• Foster a culture of quality, driving excellence even under tight deadlines.
• Collaborate effectively with internal teams, Product Management, Architecture, and SRE, as well as offshore resources.
• Communicate complex technical concepts clearly to diverse audiences.
• Present data-driven solutions, debate constructively, and commit to team decisions.
• Lead and mentor multiple teams, promoting engineering best practices and technical growth across domains.
  
  

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!