Engineering Lead Analyst

• Design and implement highly available, fault-tolerant infrastructure for managed and self-managed databases (e.g., AWS Aurora, DynamoDB, Cloud SQL, Cloud Spanner, Bigtable, MongoDB Atlas)
• Develop and maintain Infrastructure as Code using Terraform, including reusable modules and CI/CD automation
• Architect solutions that meet enterprise data security requirements - including encryption, data masking, classification tagging, and network isolation
• Support data protection, backup, recovery, and cross-region availability strategies
• Experience with homogenous and heterogeneous data migrations from on premises databases to public cloud databases
• Implement fine-grained IAM, role-based access controls, key management, and policy enforcement across cloud platforms
• Collaborate with security, compliance and other teams to integrate data governance requirements into database infrastructure design

• 5+ years of experience in cloud infrastructure, database operations, or cloud engineering roles
• Hands-on experience configuring MongoDB Atlas clusters based on application workload requirements, including sharding, horizontal and vertical scaling, backup and snapshot configuration, global cluster setup, and secure connectivity options
• Hands-on experience deploying and managing cloud-native database in AWS and GCP
• Proficient in Terraform, Git, and CI/CD-based deployment practices
• Deep understanding of resilient architecture patterns: multi-AZ, multi-region, replication, failover, and disaster recovery
• Experience with data security controls, including data masking, tokenization, encryption at rest and in transit, and network security (e.g., VPCs, PrivateLink/PSC, firewall rules)
• Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

• medical
• dental
• vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
• discretionary and formulaic incentive and retention awards