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Senior Lead Management Reporting Analyst

Job in Brooklyn, Cuyahoga County, Ohio, USA
Listing for: COMFORT SYSTEMS
Full Time position
Listed on 2026-06-25
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 150000 USD Yearly USD 80000.00 150000.00 YEAR
Job Description & How to Apply Below

Location:

4900 Tiedeman Road, Brooklyn Ohio

Job Summary

We’re seeking a CI/CD Engineer to support the design, implementation, maintenance and lifecycle of the Finance Data Product that enables secure, reliable, and efficient software releases. In this role, you will partner with our Finance, Regulatory Reporting, Treasury and other finance teams alongside our application and platform engineering teams to design and implement modern finance data solutions that scale across the organization and improve the speed and consistency of data delivery.

This is a strong fit for someone who enjoys solving complex problems, building better data, reducing friction in the data delivery and pipeline lifecycle, and building standardized solutions that encourage broad adoption. The role offers the chance to influence data pipeline standards, strengthen platform capabilities, and help shape a delivery ecosystem built for speed, quality, and resilience.

Essential Functions
  • Pipeline Engineering:
    Architect, build, and evolve scalable, reusable, and secure CI/CD pipelines in Git Lab that support modern, multi-language, microservice-based applications.
  • Release Orchestration & Gating:
    Integrate deployment pipelines with change-management and compliance systems like Service Now to automate change requests and pipeline gates without manual overhead.
  • Artifact Management:
    Administer package and container registries (e.g., JFrog Artifactory, GCP Artifact Registry) and support tooling to facilitate developer interactions with the registries.
  • Cloud Deployment:
    Collaborate on building secure, repeatable deployment templates targeting Google Cloud Platform (GCP) services (such as GKE, Cloud Run, GCS, Dataform, and IAM).
  • Developer Enablement:
    Create CI/CD templates and self-service automation that help product engineering teams launch new services quickly with secure defaults and built-in quality controls.
  • Quality & Security Gating:
    Embed static analysis (SAST/DAST), Software Composition Analysis (SCA), and unit/integration test gates directly into merge request pipelines.
  • Operational Excellence:
    Diagnose and resolve complex build, runner, caching, and deployment issues.
  • Infrastructure-as-Code:
    Interpret and write terraform. Debug state and provide guidance to developers.
  • Documentation:
    Author clear, accessible developer playbooks, architectural diagrams, and migration guides to drive inner-source contributions and pipeline adoption.
Education
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent practical, hands‑on experience.
Work Experience
  • 2+ years of experience in Dev Ops, CI/CD, Site Reliability Engineering (SRE), or full-stack development with hands‑on exposure to CI/CD.
Required Technical Skills
  • Scripting:
    Proficiency in at least one programming language, such as Python, Go, or Java script, along with shell scripting (Bash) to develop automation, integration workflows, and internal developer tooling.
  • Public Cloud Platform:
    Solid foundation in Google Cloud Platform (GCP), especially services such as GKE, Cloud Run, Cloud Build, IAM role bindings, and VPC service controls in modern cloud-native delivery environments.
  • Source & Pipeline Orchestration:
    Hands‑on experience with Git Lab, including branching strategies, Git Lab CI YAML, matrix builds, parent‑child pipelines, caching, and custom runner configuration in production‑grade environments.
Preferred Technical Skills
  • Infrastructure-as-Code (IaC):
    Solid understanding of Terraform configuration and state management to provision pipeline and cloud resources safely.
  • Scalability:
    Experience using Dataform to design, test, and manage scalable SQL‑based data transformation pipelines in Big Query with built‑in version control and workflow orchestration.
  • Repository Management:
    Experience using Git Lab or similar tool to manage and version‑control code repositories, enabling collaborative development through branching, code review, and integrated Dev Ops workflows.
  • Automated Release Gating & API Integration:
    Hands‑on experience integrating pipelines with REST APIs, webhooks, OAuth‑based services, Service Now APIs, and other enterprise platforms to support…
Position Requirements
10+ Years work experience
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