Cloud Platform Architect (Tech Lead)

Join TetraScience, a leading multi-tenant SaaS platform serving global biopharma customers. As a Cloud Platform Architect (Tech Lead), you will own the cloud infrastructure, CI/CD systems, and deployment automation. This hands-on technical lead role requires strong architecture and implementation skills. You will evolve our cloud architecture, build substantial parts of it in Python, CloudFormation, and Terraform, and drive engineering practices for safe and fast software shipping.

• Own the cloud infrastructure, CI/CD systems, and deployment automation for TetraScience’s multi-tenant SaaS platform.
• Lead through technical depth and influence across teams, evolving cloud architecture and building substantial parts of it in Python, CloudFormation, and Terraform.
• Partner with other engineering teams to reduce cycle time from commit to production, instrumenting pipeline metrics and identifying bottlenecks.
• Container orchestration: ECS, Docker, Kubernetes (EKS preferred), service mesh concepts
• 7+ years in DevOps, Cloud Engineering, or Platform Engineering roles, with at least 2 years in a senior or lead capacity
• Designed and built CI/CD pipeline infrastructure (not just consumed existing pipelines). GitHub Actions, GitLab CI, or Jenkins at scale
• Scripting and automation: Python or Go. Bash only is not enough
• Experience operating in a regulated or compliance-sensitive environment (GxP, SOC2, HIPAA, FedRAMP, or similar)
• Experience designing and operating resilient and scalable cloud solutions
• Strong production AWS experience: compute (EKS, ECS, EC2), networking (VPC, Transit Gateway, ALB/NLB, Route53), storage (S3, EBS, EFS), security (IAM, KMS, Security Hub, GuardDuty)
• Git-based workflows, branch strategies, and pull-request-driven infrastructure changes
• Deep, daily-driver coding experience:,programmatically managing infrastructure through Python, APIs and IaC tools is second nature to you. The web console is an afterthought
• Cost optimization: resource tagging strategies, FinOps practices in aws
• Managed database services: Aurora, RDS, Redshift, DynamoDB, or Databricks infrastructure provisioning
• Policy-as-code: OPA/Rego, Sentinel, or AWS SCPs for governance at scale
• AWS Solution Architect Professional or equivalent certification
• Databricks experience is strongly preferred
• AWS. Databricks. Azure and GCP are nice to have
• Big data infrastructure: Data lake storage architectures, Lakehouse, ETL pipeline infrastructure
• Deep, hands-on AWS experience: Serverless Architecture, EKS/ECS, VPC/networking, IAM, KMS, CloudWatch, Lambda, S3, EC2, Kinesis, Athena, Glue, CloudTrail, CostExplorer. You understand Well-Architected Framework principles and apply them daily, not as a checklist exercise