Staff Engineer, Release Management
Leads release management and cloud infrastructure initiatives for a highly available SaaS platform, mentoring the DevOps/Release team and improving automation, deployment, observability, security, and reliability. Requires 8+ years of enterprise SaaS development or operations experience and 6+ years with highly available cloud applications.
About the job
Responsibilities
- Drive the planning, design, and build of effective solutions to support a rapidly growing business.
- Lead initiatives supporting infrastructure for highly scalable and reliable platform services and components that form the foundation of the core platform architecture.
- Mentor the DevOps/Release team, providing best practices and guidance to improve platform component performance.
- Implement standards and best practices for the DevOps/Release team to maintain a 99.95% uptime SLA.
- Collaborate with architects, engineers, product managers, and other partners to meet organizational needs from infrastructure through application layers.
- Ensure compliance with security and privacy standards to support company certifications.
- Continuously optimize and streamline infrastructure to provide a seamless customer experience.
Requirements
- 8+ years of experience in enterprise SaaS software development and/or operations.
- 6+ years of experience designing, deploying, and maintaining highly available cloud applications.
- Ability to thrive in a dynamic, fast-paced environment, manage multiple responsibilities, prioritize effectively, and deliver results.
- Experience with continuous testing, systems automation, virtualization, orchestration, continuous integration, deployment, and observability.
- Knowledge of DevOps design patterns, processes, and best practices.
- Understanding of build and deployment systems and system configuration.
- Experience establishing end-to-end integrated delivery systems, including source control management, build tools, artifact repositories, deployment, and monitoring systems.
- Strong verbal, written, and presentation skills.
- Strong cross-team and cross-department partnership, collaboration, and consulting skills.
- Strong focus on business outcomes.
Nice to Have
- Understanding of data preparation, model training, and deployment processes.
- Experience using AI/ML services from cloud providers, such as AWS SageMaker and Google AI Platform.
Skills
DevOps, Cloud Computing, Continuous Testing, Systems Automation, Virtualization, Orchestration, Continuous Integration, Continuous Deployment, Observability, Source Control Management, Build Tools, Artifact Repositories, System Configuration, Aws Sagemaker, Google Ai Platform
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