Site Reliability Engineer - New York
Skills
- Hands-on experience with Docker and Kubernetes in production
- Proven experience using cloud providers (AWS, GCP, or Azure)
- Experience with Infrastructure as Code (Terraform, Helm, Argo CD)
- Knowledge of observability tools and practices (monitoring, logging, tracing)
- Strong Linux systems and networking skills
- Scripting and automation experience (Python, Bash, or similar)
- Familiarity with CI/CD and GitOps approaches
- Solution-oriented mindset with a focus on automation and reliability
Responsibilities
- Design, deploy, and maintain cloud infrastructure to support Dataiku’s SaaS offering
- Continuously improve deployment, configuration, and operational processes to increase reliability and scalability
- Automate operational tasks and workflows to minimize manual intervention
- Troubleshoot production issues across cloud infrastructure, systems, network, and application stacks
- Implement and maintain monitoring, logging, and tracing to detect and resolve incidents quickly
- Build and maintain IaC, CI/CD pipelines, and GitOps workflows (e.g., Terraform, Helm, Argo CD)
- Collaborate with engineering, security, and product teams on architecture and incident response
Education
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Relevant certifications or hands-on training in cloud or Kubernetes are a plus
Benefits
- Competitive base salary with potential variable compensation
- Stock options / equity
- Medical, dental, and vision plans
- Flexible spending accounts and pre-tax commuter benefits
- 401(k) company match
- Paid vacation, sick leave, and paid parental leave
- Employer-paid disability coverage and additional wellbeing perks
- Hybrid work model with at least two days per week onsite in NYC
Average salary estimate
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Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, ...
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