# Staff Engineer, Release Management

**Company:** [Reltio](https://hotfix.jobs/companies/reltio)
**Location:** Remote
**Role:** DevOps / SRE
**Experience:** 8+ years
**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
**Posted:** 2026-05-28

> 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.

## Job Description

## 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.

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