Senior Lead Management Reporting Analyst

Pipeline Engineering

Architect, build, and evolve scalable, reusable, and secure CI/CD pipelines in GitLab that support modern, multi-language, microservice-based applications.

Release Orchestration & Gating

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 and Experience

• Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent practical, hands-on experience.
• 2+ years of experience in DevOps, 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 Javascript, 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.

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 BigQuery with built-in version control and workflow orchestration.
• Repository Management: Experience using GitLab or similar tool to manage and version-control code repositories, enabling collaborative development through branching, code review, and integrated DevOps workflows.
• Automated Release Gating & API Integration: Hands-on experience integrating pipelines with REST APIs, webhooks, OAuth-based services, ServiceNow APIs, and other enterprise platforms to support low-touch change control, status checks, and cross-system workflow automation.

Compensation And Benefits

This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Job Posting Expiration Date

07/27/2026