Senior Site Reliability Engineer

The role

You will build, automate, and maintain infrastructure for data pipelines, ML workloads, and real-time analytics systems. You will partner with engineers and data scientists to scale the platform with reliability and observability.

What you will do

• Design, build, and maintain scalable infrastructure for real-time analytics and machine learning workloads
• Improve system reliability and performance through automation, observability, and proactive capacity planning
• Respond to customer support issues and site operations issues
• Participate in a call-in rotation
• Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
• Own processes around Supercomputing facility physical support, including device management, inventory, basic network and system administration, NVidia DGX cluster administration and advanced datacente
• Implement and maintain monitoring, alerting, and incident response processes
• Collaborate across engineering teams to drive a culture of performance and reliability
• Ensure security, compliance, and operational readiness across infrastructure
• Drive post-incident analysis and continuous improvement initiatives

Required qualifications

• 8+ years of experience in SRE, DevOps, or infrastructure engineering roles
• 5+ years of experience with datacenter operations and/or system and network administration
• Experience with containerization (Docker), and orchestration (Kubernetes)
• Strong knowledge of Linux systems, networking, and systems performance tuning
• Strong-to-expert facility with SSH, terminal, shell and the Linux command line
• Solid understanding of infrastructure-as-code (e.g., Terraform, Ansible)
• Good programming skills and ability to apply sound coding principles to IaC and scripting code with languages such as Terraform, Ansible, Bash (shell scripting), and/or Python
• Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, ELK, OpenTelemetry)
• Proficiency with CI/CD tools and pipelines (e.g., GitHub Actions, ArgoCD, etc.)
• Ability to debug complex systems and automate solutions in scripting languages
• Excellent communication skills and the ability to work cross-functionally

Nice to have

• Experience with cloud and managed services (e.g. AWS)
• Experience supporting data-intensive platforms (Spark, Airflow, Kafka, etc.)
• Familiarity with security practices for cloud-native applications and infrastructure
• Experience in high-compliance or SOC-2 environments

About the company

alembic is a company solving real-world enterprise problems.