Sr. Site Reliability Engineer (Automation & GCP)

Job Title: Senior Site Reliability Engineer (Automation & GCP) Location: Chicago, IL – Hybrid (On site 2 days per week) Duration & Type: 6 month contract with possibility for extension or conversion to full time Compensation: Competitive hourly rate ($60-64/hr), Access to Healthcare, Dental, and Vision Insurance Plan of Choice, and 401K Chamberlain Advisors is currently seeking a Senior Site Reliability Engineer (Automation & GCP) for our direct client in the financial services industry. This is a 6 month contract position with potential for extension. The ideal candidate will lead the design, scaling, and operational modernization of the cloud infrastructure ecosystem — building robust automation frameworks, managing complex cloud configurations, and integrating modern AI/ML capabilities into Site Reliability Engineering (SRE) operations. Click apply now and join the Chamberlain experience. Summary And Ideal Candidate Profile As a senior technical leader, this role bridges hands-on engineering execution with high-level architectural advisory. The ideal candidate will drive self-healing infrastructure, design guardrail-driven workflows across existing CI/CD tools, and establish best practices for intelligent incident remediation and observability across Google Cloud Platform (GCP). This individual partners with client and internal engineering teams to modernize reliability engineering practices and embed AI-driven automation into the broader DevOps ecosystem. What You Will Be Accountable For Automation Framework Engineering: Develop and maintain robust, scalable automation frameworks using Python to automate and manage the full lifecycle of complex cloud infrastructure.Infrastructure as Code (IaC): Design, build, and maintain enterprise Infrastructure as Code (IaC) environments using Terraform and Terragrunt to guarantee consistency, replicability, and compliance across multi-environment deployments.SRE Workflow & Tooling Integration: Engineer and deploy auditable, guardrail-driven continuous workflows integrated seamlessly with core SRE platforms, including JIRA, Git, and CI/CD pipelines.GCP AI/ML Solution Architecture: Architect and implement intelligent, cloud-native automation solutions on Google Cloud Platform to streamline system monitoring, alerting, and operational processes.Self-Healing Infrastructure: Leverage GCP AI services, predictive analytics, and automated orchestration to enable proactive incident remediation, dynamic resource scaling, and resilient self-healing operational workflows.Technical Advisory & Strategic Leadership: Advise client and internal engineering teams on GCP best practices, reliability engineering principles, and the integration of AI-driven automation into DevOps ecosystems. What Qualifications You Need Expert Python Engineering: Expert-level proficiency in Python, specifically for engineering CLI tools, operational scripts, and scalable infrastructure automation.Infrastructure as Code Mastery: Extensive, proven experience designing and managing scalable cloud infrastructure using IaC tooling like Terraform and Terragrunt.Git & CI/CD Expertise: Deep expertise in Git version control (including complex branching strategies) alongside hands-on experience building and maintaining robust CI/CD pipelines.Deep GCP Expertise: Proven track record of designing, deploying, and managing enterprise-scale cloud architectures on Google Cloud Platform (GCP certification preferred).AI/ML Operations: Hands-on experience implementing AI-driven automation, Vertex AI, or ML pipelines to enhance system reliability, predictive capabilities, and operational efficiency.Configuration Management: Strong experience parsing, managing, and standardizing multi-format configuration data (e.g., YAML, INI, HCL) within automated workflows.AI-Ready System Design: Demonstrated ability to design automation procedures that are deterministic, enforce precise guardrails, and are structured for execution by AI agents or orchestration engines.Technical Leadership & Collaboration: Strong consultancy and leadership skills, with the ability to articulate complex technical strategies and align implementation details with business outcomes. Preferred Google Cloud Platform (GCP) certification.Hands-on experience with Vertex AI or comparable ML pipeline tooling.4-year Bachelor's degree in Computer Science, Engineering, or a related field.Prior experience in financial services, trading platforms, or risk management technology. About the Client: Mixing powerful thinking and cutting-edge technology, our client is where the world comes to manage risk. Offering the widest range of global benchmark products across all major asset classes. They have created a marketplace for buyers and sellers bringing together individuals, companies, and institutions that need to manage risk. Our client works to serve as the counterparty to every trade that happens in our markets, to protect the integrity of our markets, and to virtually eliminate third-party credit risk. They are more than a marketplace, they are a team of groundbreakers, problem solvers, and difference makers. Why Work with Chamberlain? Chamberlain Advisors is a veteran-owned business that provides human capital solutions across a wide range of industries and engagement types. Chamberlain candidates benefit from our unique hiring and interviewing process which has been designed to increase the likelihood that they will be successful in their job searches. This is achieved through our 5-step recruitment process, ensuring a top-of-the-line candidate experience. Find out what makes us different; apply to Chamberlain today. Equal Opportunity Employer Chamberlain Advisors provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Chamberlain Advisors complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Chamberlain Advisors expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic