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.
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
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
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
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
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
Alembic is a next-generation Causal AI platform that provides enterprises with unprecedented intelligence around the effects of their actions. While the initial focus is on helping marketers connect how every dollar spent on advertising leads to revenue, Alembic’s ambition is to provide Causal inference analysis across the enterprise. Its proprietary Causal AI and graph neural-network architecture enable deterministic attribution, revenue forecasting, and insight generation across brand, performance, and omnichannel budgets.
Backed by institutional investors including Prysm Capital, NextEquity, WndrCo, and SLW, with NVIDIA as the founding enterprise customer and exclusive supercomputing partner, Alembic is recognized as one of the world’s leading AI labs. Through its Causal AI engine, Alembic is on a mission to make blind, guess-based analysis obsolete by helping global enterprises act with clarity and confidence in the intelligence era.
