7 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Own the performance, availability, capacity, throughput, and overall reliability of Fivetran’s production infrastructure.
- Improve products and systems by incorporating reliability requirements into the product roadmap.
- Coordinate reprioritization and resolution of critical bugs for support and sales needs.
- Partner with engineering teams to recommend production infrastructure improvements and support high availability.
- Automate scalable artifact deployment across all environments.
- Monitor infrastructure vulnerabilities and work with the security team to remediate them.
- Drive effective incident response, issue avoidance, infrastructure growth, and operational stability.
Requirements
- At least 6 years of experience working with SaaS products at scale.
- Working knowledge of managed Kubernetes, including EKS, AKS, and GKE.
- Knowledge of AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi, and ArgoCD.
- Experience with Python, Shell scripting, and Go; Java experience is a bonus.
- Experience with Linux operating system internals and administration.
- Experience with cloud networking, including Site-to-Site VPNs, Privatelinks, and Private Service Connect.
- Experience with databases such as PostgreSQL.
Benefits
- 100% employer-paid medical insurance, subject to country and worker-type variation.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Access to a mental health support platform offering therapy, coaching, and self-guided mindfulness resources for employees and covered dependents.
- The posting indicates a hybrid work arrangement.
Tech Stack
Categories
DevOpsSite Reliability
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.