Senior DevOps & Platform Engineer

Responsibilities Mandatory Skills - JFrog, Jellyfish, Full-Stack Development Key Responsibilities Artifact & Security ManagementManage and scale enterprise-grade JFrog Artifactory clusters.Configure JFrog X-Ray to automate security scanning and license compliance.Build automated vulnerability remediation workflows within the CI/CD pipeline.Engineering Productivity & MetricsImplement and maintain data pipelines using tools like Jellyfish or Apache DevLake.Track, analyze, and improve DORA metrics (Deployment Frequency, Lead Time for Changes, MTTR, Change Failure Rate).Provide actionable insights to leadership to eliminate engineering bottlenecks.GitHub & Software TemplatesArchitecture enterprise GitHub organization structures, branch policies, and access controls.Build reusable GitHub Actions workflows and custom software development templates.Standardize boilerplate code to accelerate onboarding for full-stack applications.Ecosystem Integration & Feature FlaggingConnect GitHub, Jira, and ServiceNow to create seamless, automated change-management workflows.Implement and champion progressive delivery using LaunchDarkly for feature flagging.Enable developer self-service capabilities for infrastructure and application provisioning. Skill Requirements DevOps & Security: 4+ years of deep technical experience with JFrog Enterprise and X-Ray.Value Stream Management: Proven experience building DORA metrics dashboards via Jellyfish, DevLake, or similar business intelligence tools.GitHub Ecosystem: Advanced knowledge of GitHub Enterprise, environment management, and complex CI/CD pipeline creation.Full-Stack Development Context: Strong understanding of full-stack application architecture to better support front-end and back-end engineering teams.Integration Expertise: Hands-on experience writing scripts or using webhooks to link toolchains (GitHub API, Jira Cloud, ServiceNow ITSM).Feature Management: Experience with runtime configuration or decoupling deployments from releases using LaunchDarkly.Agile Methodology: Experience working in mature Scrum/Kanban environments with a strong focus on continuous iterative improvement.