Release Engineer enhancing end-to-end build and deployment pipelines for Ironclad's AI contracting platform. Collaborating with Engineering, QE, and Product teams to manage releases and deployment processes.
Responsibilities
Enhance the end-to-end build and deployment pipelines, ensuring reliable, repeatable, and well-instrumented deployments across environments through automation, tooling improvements, and proactive issue resolution
Partner closely with Engineering, QE, and Product to plan, coordinate, and execute releases — managing risk, validating readiness, maintaining visibility into changes, and driving continuous enhancements to release processes and infrastructure
Manage the weekly code deployment process, including:
Coordinate the testing and verification work with QE & Devs for deployment signoff
Manage the merges and branch promotions as part of the deployment process
Ensure all of the Post-deploy verifications are complete and are closed out
Understand and communicate the deployment and release calendars to ensure EPD knows when and where to merge changes and features are released on schedule
Coordinate the release process, including:
Maintain and update release calendar for deployments and releases
Manage all release items and coordination in Jira/Asana
Coordinate and manage feature flags related to releases
Communicate feature flag states for upcoming releases
Update flag states on Staging/Production stacks
Prepare flag testing preparation with Engineering
Facilitate go/no go decisions
Manage hotfix deployment and incident reporting, including:
Manage reporting and incident tracking
Derive and report on metrics related to release quality and cleanliness
Cross-functional partnership and communication, including:
Partner with DevEx to build deployment/release dashboards and tracking quality metrics
Partner with GTM team to ensure alignment on timelines to prepare external communications, internal enablement, and coordinated preparation for launches
Requirements
3+ years of experience in a release management/engineering or related role
Experience with Agile methodologies, continuous integration and development tools (CI/CD) for a SaaS product (Docker, Kubernetes, GCP/AWS, Terraform, CircleCI, ArgoCD)
Experience with full-stack observability platforms like Splunk, Datadog, Sentry
Ability to demonstrate strong interest in automation and continuous improvement (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code
Project Management experience and planning mindset - experience in managing projects, including scheduling, resource allocation, and risk management
Proficient in using Git for version control systems and branch management
Jira/Confluence or Linear administrator experience - creating automations, dashboards, workflows etc.
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