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Key skills for this role
We are looking for an experienced Senior Release & Deployment Engineer to oversee the end-to-end release lifecycle of our large-scale, multi-module platforms. The ideal candidate will be a master of orchestration and governance, using data-driven insights to continuously improve our release processes. You will be a key player in bridging the gap between development and operations, ensuring seamless and efficient deployments.
Drive end-to-end release planning, change control, risk assessment, and deployment window management.
Utilize Jira and Confluence as primary collaboration tools to maintain clarity and alignment across teams.
Balance the need for deployment speed with the imperative of maintaining platform stability.
Leverage Python and SQL to extract and analyze deployment metrics.
Build and maintain trend analysis to identify patterns and areas for improvement.
Transform release management from a reactive process into a proactive, continuous improvement engine.
Apply a working knowledge of Unix/Linux operations and ECS/OpenShift environments.
Interpret deployment logs and server health metrics to make confident go/no-go decisions during deployment windows.
Troubleshoot and resolve deployment-related issues under pressure.
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Translate complex technical information into clear and concise executive-level updates.
Lead structured and effective release calls with global, distributed teams.
Ensure accountability through detailed minutes of meetings (MoMs), action item tracking, and proactive escalation of issues.
Navigate and manage CI/CD pipelines using Harness/Lightspeed.
Champion the adoption of automation in the release process, including ROD, parallel deployments, and automated post-deployment checks.
Act as a bridge between development and operations teams, fostering a collaborative DevOps culture.
Apply GenAI tooling (e.g., Stylus, Copilot) to accelerate the creation of release documentation and runbooks.
Utilize AI to surface insights into deployment risks and to drive intelligent test data management.
Embed AI as a force multiplier across the entire release lifecycle to enhance efficiency and quality.
Proven 10+ Year experience in a Release Engineering, DevOps, or similar role.
Strong understanding of release orchestration, governance, and change control processes.
Proficiency with Jira and Confluence.
Basic scripting and data analysis skills using Python and SQL.
Working knowledge of Unix/Linux operating systems and container orchestration platforms like ECS or OpenShift.
Experience with CI/CD tools such as Harness or Lightspeed.
Excellent communication and collaboration skills, with the ability to engage with both technical and non-technical stakeholders.
Experience with AI-powered developer tools (e.g., GitHub Copilot, Stylus) and an interest in applying AI to release operations.
A deep understanding of DevOps principles and a passion for automation.
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Global financial services organization enabling growth and economic progress.
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Senior · 10+ years experience
Hybrid
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