Site Reliability Engineer

Summary

Join Aquent as a Site Reliability Engineer in a financial institution. Full-time position paying $57-63 per hour. Work with GCP, Kubernetes, Docker, and machine learning technologies to build reliable systems.

Description

Job Title: Site Reliability Engineer

Client Location: Austin, TX

Starting: 01/01//2026

Pay Comments

Minimum Pay (per hour): 57.00

Maximum Pay (per hour): 63.33

Hours: Full-time

Duration: 12 months

**THIS ROLE IS NOT REMOTE. YOU MUST BE ONSITE IN AUSTIN, TX**

Job Description

Join our client, a leading financial institution at the forefront of innovation, where technology drives success and reliability is paramount. As a critical partner, Aquent is seeking an exceptional individual to step into a pivotal role within their dynamic engineering team. This isn't just a job; it's an opportunity to shape the future of their robust platforms and ensure seamless, high-performance operations for millions of users.

**Impact You'll Make**

Are you ready to be a cornerstone of stability and innovation? In this role, you will be instrumental in architecting resilient systems, driving efficient development practices, and championing a culture of continuous improvement. You'll lead transformative projects, guide engineering excellence, and directly contribute to the reliability and scalability of mission-critical applications, making a tangible impact on the success of the business and the experience of its customers.

**Key Responsibilities**

*Drive Technical Leadership & Project Delivery:** Lead engineering teams through the entire project lifecycle, leveraging agile methodologies like Scrum to ensure efficient delivery and robust release practices.

*Architect & Design Cloud-Native Solutions: ** Translate high-level architectural visions into detailed low-level designs, providing expert technical oversight for the development and deployment of cutting-edge cloud-native applications.

*Champion Reliability & Scalability: ** Design, architect, and deploy highly available and scalable cloud-native applications on platforms such as GCP, ensuring optimal performance and resilience.

*Optimize Data Management: ** Leverage your expertise with diverse database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL, to build and maintain robust data solutions.

*Advance DevOps & Automation: ** Implement and optimize containerization strategies using technologies like Docker and Kubernetes, and establish sophisticated CI/CD pipelines to streamline development and deployment.

*Innovate with AI/ML: ** Integrate and apply AI/Machine Learning models to enhance data analytics, visualization, automation, and creatively solve complex business and technical challenges.

*Foster Collaboration & Mentorship:** Work closely with diverse stakeholders across product management, architecture, and other engineering domains, while actively mentoring and coaching multiple teams to elevate technical capabilities.

*Influence & Present Solutions: ** Effectively engage subject matter experts, present complex architectural solutions to governance boards and stakeholders, and advocate for data-driven proposals.

**Must Have Qualifications:**

• Proven experience leading engineering teams and delivering projects using Scrum and efficient release practices.
• Strong background in converting high-level designs into low-level designs and providing technical oversight.
• Demonstrated experience in designing, architecting, and deploying cloud-native applications, specifically on GCP.
• Proficiency with various database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL.
• Expertise in containerization technologies such as Docker and Kubernetes, and building/managing CI/CD pipelines.
• Experience leveraging AI-Driven software development tools to enhance productivity, code comprehension, and documentation.
• Proven track record of integrating and applying AI/Machine Learning models for data analytics, visualization, automation, and problem-solving.
• Ability to maintain high quality standards while delivering within tight schedules.
• Exceptional collaborative mindset with a bias for action, engaging effectively with product management, architects, and other domains.
• Strong ability to work with internal, external, and offshore stakeholders.
• Adept at engaging subject matter experts and quickly grasping complex technical topics.
• Demonstrated ability to critically evaluate solutions, present data-backed proposals, and commit to successful delivery.
• Expertise in solution discovery and crafting designs based on sound engineering principles.
• Creative problem-solver with a knack for analytical thinking.
• Experience mentoring and coaching multiple teams, with the ability to lead across organizational domains.
• Excellent presentation skills, capable of articulating architecture and solutions to governance boards and stakeholders.

**What Sets You Apart:**

• A passion for leveraging cutting-edge AI/ML to push the boundaries of technical solutions.
• A proactive approach to identifying and solving complex challenges, consistently seeking innovative paths forward.
• A natural ability to inspire and guide teams, fostering an environment of continuous learning and technical excellence.
• The courage to challenge assumptions constructively, backed by data, and a steadfast commitment to collective success.