We invite a Cloud DevOps Engineer to join our team, codifying infrastructure patterns and driving adoption of automation, self-service, and Infrastructure-as-Code across the organization.
Requirements
- Design, build, and operate the cloud foundations that our data scientists, ML engineers, and data engineers rely on every day.
- Leverage expertise to scale and maintain the AWS infrastructure and DevOps toolchains powering our data science platforms.
- Thrive in a hands-on role building and scaling AWS infrastructure for cutting-edge data science and ML platforms.
- Design and optimize AWS environments for data science and ML workloads.
- Own IAM architecture, security, and compliance; enforce least-privilege access and perform risk assessments.
- Implement high-availability and disaster recovery solutions for critical analytics platforms.
- Optimize cloud costs; manage networking capabilities for data platforms (API gateways, CDNs, ALBs, TLS, WAFs).
- Build and maintain CI/CD pipelines, IaC, automated testing, monitoring/logging systems.
- Automate provisioning, configuration, and deployments.
- Provide self-service tools for reliable, reproducible R&D environments.
- Support secure handling of sensitive financial data in cloud environments.
- Work with data and ML teams to unblock workflows; advise on AWS architecture, performance, and production readiness.
- Drive Kanban, automation, continuous improvement, and Everything-as-a-Service practices.
- Prioritize internal customer experience and reduce toil through automation.
Benefits
- 30 paid days off each year
- 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby
- Partially covered health insurance - after probation
- Wellness bonus for gym memberships, sports nutrition, and similar needs