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Gitlab Ci Pass Variables Between Jobs (NOW HIRING)

Design and implement GitLab CI/CD pipelines with advanced job separation, artifact flow, and ... and artifact flow between jobs. * Hands-on software engineering experience with large-scale ...

Hands-on experience with GitLab CI/CD pipeline development and deployment automation ... Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and ...

Hands-on experience with GitLab CI/CD pipeline development and deployment automation ... Integrate and manage data movement between PostgreSQL, YugabyteDB (Cassandra-based NoSQL), and ...

... between IIA, upstream data providers, and downstream consumers. · Build and maintain ... GitLab CI/CD, Docker, and Artifactory. · Support and maintain existing ETL pipelines written in ...

DevOps Engineer

Colorado Springs, CO · On-site +1

$140K - $170K/yr

Develop and maintain GitLab CI/CD pipelines to support software delivery. * Build and maintain ... This role is between $140,000 - $170,000 base salary. * Quarterly bonus structure * Equity ...

Trigger, monitor and maintain automated test runs in Jenkins, GitLab CI, or GitHub Actions ... variables and config files. • Defect Reporting and Tracking: Document test failures with detailed ...

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination. Primary ... GitLab CI/CD: Build, maintain, and troubleshoot automated GitLab pipelines. * Integration:

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination. Primary ... GitLab CI/CD: Build, maintain, and troubleshoot automated GitLab pipelines. * Integration:

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination. Primary ... GitLab CI/CD: Build, maintain, and troubleshoot automated GitLab pipelines. * Integration:

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Gitlab Ci Pass Variables Between information

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How much do gitlab ci pass variables between jobs pay per year?

As of Sep 13, 2026, the average yearly pay for gitlab ci pass variables between in the United States is $104,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $124,000.00 per year, depending on experience, location, and employer.

How do you pass variables between jobs in GitLab CI?

In GitLab CI, you can pass variables between jobs by using 'artifacts' or by defining variables in the 'job' or 'pipeline' scope. Artifacts allow you to store files or outputs from one job and make them available to subsequent jobs in later stages. For simple key-value pairs, you can write variables to a file in one job, save the file as an artifact, and then read the file in the next job. Additionally, you can use 'needs' or 'dependencies' to control job execution and variable sharing. This approach helps maintain flexibility and modularity in your CI/CD pipelines.

What are some best practices for securely passing variables between GitLab CI/CD pipeline stages?

When passing variables between GitLab CI/CD pipeline stages, it's important to use GitLab's built-in CI/CD variables and artifacts features. Sensitive values, such as API keys or passwords, should always be stored as protected or masked variables in GitLab's CI/CD settings to prevent exposure in logs. Additionally, avoid echoing secrets in scripts, and use the 'dependencies' and 'artifacts' keywords to pass non-sensitive data between jobs. This approach ensures your pipelines remain secure and maintainable while allowing for flexible data transfer between stages.

What are the key skills and qualifications needed to thrive as a DevOps engineer working with GitLab CI, and why are they important?

To thrive as a DevOps Engineer specializing in GitLab CI, you need strong knowledge of CI/CD concepts, scripting languages (such as Bash or Python), and experience with version control systems like Git. Proficiency in using GitLab CI/CD pipelines, YAML configuration, environment variables, and integrating with tools like Docker or Kubernetes is essential. Effective problem-solving, attention to detail, and strong collaboration skills help you manage complex build and deployment processes efficiently. These skills are crucial for automating software delivery, ensuring reliable deployments, and fostering continuous integration and collaboration across development teams.

What is the difference between Gitlab Ci Pass Variables Between and Gitlab CI/CD Pipeline Engineer?

FeatureGitlab Ci Pass Variables BetweenGitlab CI/CD Pipeline Engineer
Role FocusManaging CI/CD variables and their transfer between jobsDesigning, implementing, and maintaining CI/CD pipelines
Skills RequiredUnderstanding of GitLab CI/CD variables, scriptingDeep knowledge of pipeline architecture, scripting, automation
Work EnvironmentDevOps teams, CI/CD pipeline setupDevOps teams, pipeline development and optimization

Gitlab Ci Pass Variables Between is a specific task within CI/CD workflows, focusing on passing variables between jobs. In contrast, a Gitlab CI/CD Pipeline Engineer designs and manages entire pipelines. While both roles require knowledge of GitLab CI/CD, the former is more about executing specific tasks, and the latter involves comprehensive pipeline development and maintenance.

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What job categories do people searching Gitlab Ci Pass Variables Between jobs look for?

The top searched job categories for Gitlab Ci Pass Variables Between jobs are:

Infographic showing various Gitlab Ci Pass Variables Between job openings in the United States as of September 2026, with employment types broken down into 3% As Needed, 76% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $104,014 per year, or $50 per hour.

Lead Software Engineer - SDLC Tooling

Buffalo, NY • On-site

M&T Bank
Finance and Insurance • 10K+ employees

Full-time

Re-posted 17 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 189 frontline employees who took The Breakroom Quiz


Job description

Overview
Responsible at the expert level for engineering, operating, and evolving enterprise Software Development Lifecycle (SDLC) and Developer Experience platforms. Drives technical strategy, standards, adoption, automation, and continuous improvement across the software delivery ecosystem while ensuring the stability, scalability, security, and resiliency of critical engineering services.
Serves as a senior technical leader and subject matter expert for enterprise developer platforms, enabling software engineers to efficiently and securely develop, test, deploy, and maintain applications throughout the software development lifecycle. Provides technical leadership, platform expertise, and engineering guidance while partnering across Architecture, Cybersecurity, Infrastructure, Cloud Engineering, and Application Development teams. Adapted from the existing Lead Engineer role expectations and scope.
Primary Responsibilities
Design, engineer, administer, and continuously improve Enterprise Developer Experience and SDLC platform capabilities supporting software delivery across the organization.
Serve as the technical expert and platform owner for enterprise developer tooling including:
  • GitLab Source Code Management (SCM)
  • GitLab CI/CD
  • GitLab Duo and AI-assisted development capabilities
  • GitLab Runners and pipeline infrastructure
  • GitLab Governance and compliance controls
  • SonarQube
  • JFrog Artifactory
  • Mend Software Composition Analysis (SCA)
  • Integrated Development Environments (VS Code, IntelliJ, Eclipse, and related tooling)
  • Developer portals and self-service engineering capabilities
  • DevSecOps and software supply chain security tooling
  • Build, test, deployment, and release automation platforms

Develop platform capabilities following approved Software Development Lifecycle (SDLC) processes and enterprise technology standards while identifying opportunities to improve engineering effectiveness and reduce delivery friction.
Design and implement enterprise software delivery workflows utilizing GitLab SCM, GitLab CI/CD, code quality, security, and artifact management capabilities.
Drive adoption and optimization of GitLab Duo and other AI-assisted engineering capabilities while ensuring alignment with enterprise governance, security, compliance, and risk management standards.
Design and implement integrations between GitLab, SonarQube, JFrog Artifactory, Mend, cloud platforms, identity services, developer workstations, ticketing systems, and observability platforms.
Engineer reusable CI/CD templates, pipeline standards, deployment frameworks, and self-service capabilities that improve consistency, quality, and engineering velocity.
Define and implement standards for source control management, branching strategies, merge request workflows, code review processes, testing automation, release management, and software supply chain security.
Review and approve technical designs, platform configurations, automation solutions, and integration proposals impacting the software delivery ecosystem.
Drive implementation adherence with patterns and practices for platform resiliency, scalability, observability, security, and operational excellence.
Lead platform modernization initiatives that improve developer productivity, streamline delivery workflows, and enhance the overall developer experience.
Define, measure, and report platform adoption, utilization, reliability, performance, developer productivity, and engineering effectiveness metrics.
Review testing methodologies, platform health indicators, and operational controls to ensure stable and secure service delivery.
Serve as a key partner with Architecture, Cybersecurity, Infrastructure, Cloud Engineering, Risk, and Application Development teams to identify and implement continuous improvement opportunities spanning organizational boundaries.
Research, evaluate, and recommend emerging technologies, tools, and practices related to platform engineering, developer experience, DevSecOps, AI-assisted software development, and software supply chain security.
Contribute to enterprise architecture discussions and engineering strategy related to developer enablement, engineering productivity, and SDLC modernization.
Understand and effectively communicate platform architecture, roadmaps, adoption trends, technical challenges, and strategic recommendations to business and technical stakeholders.
Present at architecture review boards, engineering forums, and internal technology communities.
Author technical standards, implementation guides, operational runbooks, engineering documentation, and internal knowledge-sharing content.
Coach engineering teams on platform usage, SDLC best practices, CI/CD adoption, DevSecOps controls, and developer productivity improvements.
Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
Promote an environment that supports a culture of belonging and reflects the Company's values.
Maintain internal control standards, including timely implementation of audit findings, regulatory requirements, and risk remediation activities.
Complete other related duties as assigned.
Scope of Responsibilities
Supervisory/Managerial Responsibilities
No supervisory responsibilities. Maintains significant technical leadership and influence across multiple engineering organizations. Provides mentorship, technical coaching, and guidance to engineers, platform teams, and stakeholders. Consistent with the original Lead Engineer role, this position does not have direct management responsibility.
Education and Experience Required
Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year's education and/or relevant work experience, including a minimum of 5 years' system analysis and/or application development work experience.
Expert experience with one or more enterprise developer platforms including GitLab, SonarQube, Artifactory, Mend, CI/CD platforms, or related SDLC technologies.
Experience building and supporting large-scale enterprise software delivery environments.
Experience designing and implementing automation, platform integrations, APIs, and engineering enablement solutions.
Experience supporting secure software development and DevSecOps practices.
Education and Experience Preferred
  • Expert knowledge of GitLab Enterprise capabilities including SCM, CI/CD, Duo, runners, governance, and platform administration.
  • Experience operating Enterprise Developer Experience (DevEx) or Internal Developer Platform (IDP) solutions.
  • Experience with software supply chain security, dependency management, SBOMs, and vulnerability remediation.
  • Experience implementing enterprise CI/CD standards and release automation solutions.
  • Experience with cloud-native platforms and platform engineering practices.
  • Knowledge of DORA metrics, developer productivity measurements, and engineering effectiveness frameworks.
  • Ability to work autonomously and lead complex technical initiatives.
  • Strong analytical and problem-solving skills.
  • Strong organizational and time management skills.
  • Advanced verbal and written communication skills.
  • Experience driving enterprise-wide platform modernization initiatives.
  • Experience partnering with Architecture, Cybersecurity, Infrastructure, and Engineering leadership teams.
  • Experience supporting large-scale engineering organizations with thousands of developers.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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