9 months ago
Base Salary
$210k - $240k/yr
Responsibilities
- Design, build, and maintain scalable infrastructure for real-time analytics and machine learning workloads.
- Improve system reliability and performance through automation, observability, and capacity planning.
- Own CI/CD pipelines, deployment automation, rollback mechanisms, and configuration management.
- Implement monitoring, alerting, SLOs, runbooks, on-call rotations, and incident-response processes.
- Collaborate with engineering and data science teams to improve performance and reliability.
- Ensure security, compliance, and operational readiness across cloud infrastructure.
- Lead post-incident analysis and continuous improvement initiatives.
Requirements
- 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 Docker and Kubernetes.
- Strong knowledge of Linux systems, networking, and systems performance tuning.
- Understanding of infrastructure-as-code using tools such as Terraform and Ansible.
- Programming and scripting skills with Terraform, Ansible, Bash, and/or Python.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK, and OpenTelemetry.
- Proficiency with CI/CD tools such as GitHub Actions and ArgoCD.
- Ability to debug complex systems and automate solutions.
- Experience with cloud and managed services such as AWS is preferred.
- Experience supporting data-intensive platforms using Spark, Airflow, or Kafka is preferred.
- Familiarity with cloud-native security practices and high-compliance or SOC-2 environments is preferred.
Benefits
- Ownership of mission-critical infrastructure and influence over platform scaling, deployment, and incident management.
- Exposure to a high-performance engineering culture and enterprise-focused problems.
Tech Stack
AnsibleApache AirflowApache KafkaApache SparkAWSBashDatadogDockerGitHub ActionsGrafanaKubernetesLinuxPrometheusPythonTerraform
Categories
DevOpsSite Reliability
About Alembic
Alembic builds an enterprise Causal AI platform that measures the revenue impact of marketing and other business actions, providing deterministic attribution, forecasting, and budget insights for large brands. It sells its software as a SaaS analytics product to marketing and growth teams, with integrations across advertising and omnichannel data. Founded in 2018 and headquartered in San Francisco, the company is privately held; customers include NVIDIA, its founding enterprise customer and supercomputing partner.