# Senior DevOps Engineer (AI)

**Company**: Synopsys
**Location**: Dublin, Leinster, Ireland
**Work arrangement**: onsite
**Experience**: senior
**Job type**: employee
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/dublin/senior-devops-engineer-ai/44408/92358709552
**Canonical**: https://yubhub.co/jobs/job_3443a031-482

## Description

We are seeking a Senior DevOps Engineer (AI) to lead the DevOps, deployment, and integration aspects of our AI-powered products. This is a high-ownership role for someone who enjoys operating independently, solving complex problems, and helping teams run smoothly at scale.

## What you'll do

Act as the primary interface between the research team and the deployment ecosystem, ensuring seamless transition from innovation to production.

- Own interactions with external AI and LLM providers to facilitate integration and optimize performance across platforms.

- Lead information security and compliance approvals for product deployments, maintaining high standards of data protection and privacy.

- Design, build, and evolve the build and development environment, including robust CI/CD pipelines for automation and reliability.

- Manage releases end-to-end, from scheduling and execution to closure, ensuring timely and high-quality product delivery.

- Drive porting efforts and cross-platform support, broadening product reach and enabling scalability across cloud environments.

## What you need

- Strong proficiency in Git, CI/CD, and version control workflows.

- Expertise in operating systems and cloud deployments (Azure, GCP, AWS).

- Hands-on experience with Docker/Kubernetes and infrastructure-as-code practices.

- Ability to design and build distributed systems at scale.

- Proficiency in Python or another scripting language for automation.

- Experience in model inferencing frameworks (vLLM, TGI) is highly desirable.

## Skills

### Required
- Git
- CI/CD
- version control workflows
- operating systems
- cloud deployments
- Docker/Kubernetes
- infrastructure-as-code
- Python
- scripting language
- model inferencing frameworks

### Nice to have
- AI
- LLM
- information security
- compliance approvals
- data protection
- privacy