Senior Site Reliability Engineer

Informatic Technologies, Inc.; Chicago (IL); On-site; USD 180,000 - 230,000; Full time

Job summary

Informatic Technologies, Inc. is seeking a Senior Site Reliability Engineer (Automation & GCP) to lead the design, scaling, and modernization of our cloud infrastructure. You will build robust automation, manage cloud configurations, and integrate AI/ML into SRE operations.

You will bridge hands-on engineering with architectural advisory, driving self-healing infrastructure and guardrail-driven workflows across CI/CD, and ensuring observability and reliability on GCP.

Qualifications

• Expert Python programming for CLI tools and automation.
• Extensive IaC experience with Terraform/Terragrunt.
• Git and CI/CD expertise with complex branching.
• Deep GCP knowledge, enterprise-scale architectures.
• AI/ML operations using Vertex AI or similar.
• Configuration data handling: YAML, INI, HCL.
• AI-ready design with guardrails for AI agents.
• Technical leadership and cross-team collaboration.

Responsibilities

• Develop and maintain scalable Python automation frameworks.
• Design and maintain IaC environments with Terraform and Terragrunt.
• Integrate SRE workflows with JIRA, Git, and CI/CD pipelines.
• Architect AI/ML powered automation on GCP.
• Enable proactive incident remediation and self-healing infra.
• Advise teams on GCP best practices and reliability engineering.

Skills

Python automation

IaC mastery

Git & CI/CD

GCP expertise

AI/ML operations

Configuration management

AI-ready design

Technical leadership

Tools

Terraform

Terragrunt

Vertex AI

JIRA

CI/CD

Job description

We are seeking a Senior Site Reliability Engineer (Automation & GCP) to lead the design, scaling, and operational modernization of our cloud infrastructure ecosystem. In this role, you will be responsible for building robust automation frameworks, managing complex cloud configurations, and integrating modern AI/ML capabilities into our Site Reliability Engineering (SRE) operations.

As a senior technical leader, you will bridge hands‑on engineering execution with high‑level architectural advisory. You 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).

Key Responsibilities

• 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.

Qualifications

• 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.