Sr Site Reliability Engineer

Objective Partners; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

Objective Partners seeks a Senior Site Reliability Engineer focused on Automation and GCP to lead design, scaling, and modernization of enterprise cloud infrastructure. You will implement self-healing systems, guardrail-driven CI/CD, and IaC with Terraform/Terragrunt, while advancing AI/ML-enabled observability and remediation.

The role balances hands-on coding with strategic architectural leadership. You will collaborate with engineering teams and cloud architects to drive DevOps maturity and

Qualifications

• Advanced Python for automation and tooling.
• Enterprise Terraform/Terragrunt IaC experience.
• Deep Git workflows and robust CI/CD pipelines.
• Strong GCP architecture experience; certification a plus.
• AI/ML operations integration experience.
• Configuration data formats: YAML, INI, HCL.
• AI-ready automation with guardrails and deterministic design.
• Excellent technical leadership and communication.

Responsibilities

• Design, build, and maintain scalable automation frameworks for cloud infra.
• Architect and manage enterprise IaC using Terraform/Terragrunt.
• Create auditable CI/CD workflows integrated with Jira and VCS.
• Design and deploy AI-enabled automation on GCP, with observability.
• Enable self-healing infra using AI services and predictive analytics.
• Advise engineering teams on GCP, SRE best practices, and DevOps.

Tools

Terraform

Terragrunt

Git

CI/CD tooling

Job description

Senior Site Reliability Engineer

Our client is seeking a Sr Site Reliability Engineer (Automation & GCP) to drive the design, scaling, and operational modernization of critical enterprise cloud infrastructure. In this high-impact position, you will build resilient automation frameworks, manage complex cloud environments using Infrastructure as Code (IaC), and integrate cutting-edge AI/ML capabilities into Site Reliability Engineering (SRE) operations.

In this role, you will balance hands-on engineering execution with high-level architectural strategy. You will design self-healing infrastructure, establish guardrail-driven workflows across CI/CD pipelines, and implement intelligent observability and remediation frameworks across Google Cloud Platform (GCP).

Responsibilities

• Automation Framework Engineering: Design, build, and maintain scalable, robust automation frameworks using Python to manage the full lifecycle of complex cloud infrastructure.
• Infrastructure as Code (IaC): Architect and maintain enterprise IaC environments using Terraform and Terragrunt to ensure consistency, repeatability, and compliance across multi-tenant environments.
• SRE Tooling & Workflow Integration: Build auditable, guardrail-driven continuous delivery workflows fully integrated with core engineering platforms, including Jira, Git version control, and CI/CD pipelines.
• GCP AI/ML Solution Architecture: Design and deploy intelligent, cloud-native automation solutions on Google Cloud Platform to streamline monitoring, alerting, and operational remediation.
• Self-Healing Infrastructure: Utilize GCP AI services, predictive analytics, and automated orchestration to enable proactive incident response, dynamic resource scaling, and self-healing system workflows.
• Technical Advisory & Strategic Leadership: Serve as a trusted technical advisor to engineering teams and leadership, guiding best practices in GCP architecture, SRE principles, and AI-driven DevOps automation.

Qualifications & Core Competencies

• Expert Python Engineering: Advanced proficiency in Python for developing CLI tools, operational scripts, and end-to-end infrastructure automation engines.
• IaC Mastery: Extensive experience architecting and managing enterprise-scale cloud infrastructure using Terraform and Terragrunt.
• Git & CI/CD Pipelines: Deep expertise in Git workflows (including complex branching strategies) and hands-on experience building robust CI/CD pipelines.
• Deep GCP Expertise: Strong track record of designing and scaling enterprise architectures on Google Cloud Platform (GCP professional certification is a strong plus).
• AI/ML Operations: Experience integrating AI-driven automation, Vertex AI, or ML pipelines to improve predictive capabilities, observability, and operational efficiency.
• Configuration Management: Proven ability to parse, validate, and standardize multi-format configuration data (e.g., YAML, INI, HCL) within automated workflows.
• AI-Ready System Design: Demonstrated capability in designing deterministic automation systems with explicit guardrails tailored for execution by AI agents and automated orchestration engines.
• Technical Leadership: Excellent communication and advisory skills, with a track record of translating complex technical strategy into clear execution models aligned with business goals.

For Talution Group's benefits, please go to https://www.talution.com/consultant-info.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Talution Group, a member of the Objective Partners family of specialized talent solution providers, uses AI-assisted tools, including Alex by Apriora, to support our recruiting process. These tools may review application materials and analyze interview responses to provide insights about a candidate's experience and qualifications. AI output informs our recruiters; decisions about whether to advance or present a candidate are made by people. Learn more about our use of AI, including how to request an accommodation: https://www.talution.com/ai-in-our-hiring-process.

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