As a DevOps Engineer, you will design and manage CI/CD pipelines, build infrastructure-as-code, and support cloud-native and on-premise deployments while ensuring system reliability and scalability.
Gauss Labs is a leading innovator in AI solutions for the semiconductor industry. Our mission is to accelerate innovation by building cutting-edge, intelligent solutions that push the boundaries of what's possible in manufacturing and beyond.
We are seeking a passionate and experienced DevOps Engineer to join our dynamic team. You will play a critical role in building and maintaining scalable infrastructure, managing CI/CD pipelines, and deploying cloud-native and bare-metal applications. This role requires a high level of technical expertise, a collaborative mindset, and a strong desire to continuously improve systems and processes
Responsibilities
- Design, implement, and manage CI/CD pipelines for multiple applications and services.
- Build and maintain infrastructure-as-code (IaC) using tools like Terraform.
- Manage Kubernetes (EKS) clusters, container orchestration, and application deployment strategies.
- Troubleshoot complex issues across systems, infrastructure, and application layers—including diving into application code, logs, and metrics to assist in root cause analysis.
- Support hybrid deployment models, including both cloud-native and on-premise environments.
- Automate operational workflows and ensure system reliability, scalability, and security.
- Collaborate with engineering teams to understand requirements and provide infrastructure support.
- Monitor systems and implement observability best practices.
- Participate in on-call rotations and incident response.
Basic Qualifications
- 5-10 years of DevOps or Software engineering experience.
- Proficiency with cloud platforms (AWS preferred).
- Hands-on experience with Kubernetes and containerized applications.
- Strong experience with CI/CD tools like GitHub Actions, ArgoCD, or similar.
- Experience managing infrastructure using Terraform, or other IaC tooling.
- Ability to read and debug code in at least one programming language (Python, Go, etc).
- Familiarity with monitoring/observability tools (Prometheus, Grafana, ELK, etc.).
- Scripting and automation skills (Python, Bash, etc.).
- Strong understanding of networking, security, and distributed systems.
Preferred Qualifications
- Proven ability to work closely with developers and understand application behavior and system interactions.
- Experience with hybrid deployment environments or the semiconductor/manufacturing domain.
Top Skills
Argocd
AWS
Bash
Elk
Github Actions
Go
Grafana
Kubernetes
Prometheus
Python
Terraform
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