Senior Site Reliability Engineer

Role Summary

We’re looking for an experienced Site Reliability Engineer (SRE) to help us scale our platform with reliability, observability, and operational excellence at the core. You’ll partner with engineers and data scientists to build, automate, and maintain the infrastructure that powers our core platform—including data pipelines, ML workloads, and real-time analytics systems.

This is a hands-on, high-impact role with visibility across the stack and the opportunity to shape the future of our infrastructure and operations.

Responsibilities

• Design, build, and maintain scalable infrastructure to support real-time analytics and machine learning workloads
• Improve system reliability and performance through automation, observability, and proactive capacity planning
• Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
• Implement and maintain monitoring, alerting, and incident response processes (SLOs, runbooks, on-call rotations)
• Collaborate across engineering and data science teams to drive a culture of performance and reliability
• Ensure security, compliance, and operational readiness across our cloud infrastructure
• Drive post-incident analysis and continuous improvement initiatives

Requirements

WHAT WILL HELP YOU SUCCEED

• 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, including 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

Benefits

• Ownership of mission-critical infrastructure in a company solving real-world enterprise problems
• A front-row seat to a high-performance engineering culture
• The ability to influence how our platform scales—from deployment to incident management
• An environment that values curiosity, accountability, and impact

About the Company

Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes — the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.

We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure — one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)

WHY YOU MIGHT BE EXCITED ABOUT ALEMBIC

Searches with real degree-of-difficulty: CUDA/C++ research engineers, supercomputer SREs, data-platform builders. Work that makes you better, for stakes that matter — the company's growth plan runs through the searches you build.

A story engineers actually answer outreach about: Causal AI for Fortune 100 companies, mathematics running on one of the world's fastest private supercomputers. Your messages get to be interesting because the truth is.

AI-native by design: We'll fund your tooling experiments — semantic search, enrichment, automation. The recruiter-as-creator era is here, and this team intends to be evidence of it.