Nvidia Senior System Software Engineer - Infrastructure 

United States, Texas 

168467797

What you'll be doing:

• Designing, deploying, and maintaining scalable AWS infrastructure using EKS, EC2, S3, and related services.

• Managing and optimizing Kubernetes clusters for high availability, resilience, and performance.

• Creating and maintaining GitLab CI/CD pipelines to automate build, test, and deployment workflows.

• Developing automation scripts and Infrastructure as Code (IaC) templates with Terraform.

• Monitoring system performance and implementing logging, metrics, and alerting through LGTM, Prometheus, Datadog, or Splunk.

• Implementing DevSecOps best practices, embedding security scans, compliance checks, and secret management in the CI/CD lifecycle.

• Supporting platform observability, diagnosing production incidents, and enhancing self-service for developer teams.

• Collaborating with cross-functional teams to streamline delivery and improve developer productivity.

What we need to see:

• BS/MS in Computer Science and/or equivalent experience.

• 12+ years of hands-on experience building/supporting complex services.

• Strong hands-on experience with AWS services (VPC, IAM, EC2, EKS, Lambda, CloudWatch).

• Deep knowledge of Kubernetes internals, Helm charts, and container orchestration principles.

• Proficiency with GitLab CI/CD or equivalent pipeline automation tools.

• Experience implementing GitOps workflows (ArgoCD, FluxCD).

• Strong foundation in scripting languages such as Python, Bash, or Go.

• Familiarity with networking, load balancing, and security in cloud-native environments.

• Experience enforcing cloud and container security standards and compliance practices.

• Excellent documentation, problem-solving, and communication skills for cross-team alignment.

Ways to stand out from the crowd:

• Managed multi-cloud and hybrid Kubernetes clusters across AWS, GCP, and Azure.

• Contributed to open-source DevOps projects, including Kubernetes and GitLab initiatives.

• Earned certifications such as CKA, AWS DevOps Engineer, and GitLab Certified Specialist.

• Applied AI/ML tools and AIOps platforms for predictive monitoring and automation.

• Led DevOps teams in platform engineering, chaos testing, disaster recovery, and process optimization.