TetraScience

Cloud Platform Architect, Tech Lead

🇺🇸 Boston, United States On-site Full time Posted May 28, 2026
Workplace On-site
Employment Full time
Language English
Posted May 28, 2026
Last verified May 30, 2026
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Role summary by JobGrid

Cloud Platform Architect, Tech Lead at TetraScience: Boston, United States; On-site; Full time. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Boston, United States, On-site
  • Role classification: Full time
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

The Role

Own the cloud infrastructure, CI/CD systems, and deployment automation for TetraScience’s multi-tenant SaaS platform serving global biopharma customers. This is a hands-on technical lead role. You will lead through technical depth and influence across teams. Strong architecture and implementation skills are important for success in this role. You will evolve our cloud architecture, build substantial parts of it in Python, CloudFormation and Terraform. You will architect and build deployment pipelines to AWS and Databricks, and drive the engineering practices that determine how fast and safely we ship software.

What You’ll Own

Infrastructure as Code

Own, design, build, and maintain the cloud infrastructure using Cloudformation, Terraform and custom Python glue.. Every environment is provisioned and governed through code. Architect the deployment pipeline infrastructure end to end. GitHub Actions, CodeBuild, container image pipelines, code scanning, artifact registries, pre-merge integration environments, promotion gates, and automated rollback. Your goal: engineers merge code and it reaches production safely without manual intervention. You will partner with other engineering teams to reduce cycle time from commit to production. Instrument pipeline metrics (build time, deployment frequency, change failure rate, MTTR). Identify and eliminate bottlenecks. Build self-service capabilities so product teams are not blocked by infrastructure.

Cloud Engineering

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.
Databricks experience is strongly preferred.

DevSecOps Embed security into the product and  pipelins: container image scanning, SAST/DAST integration, secrets management, least-privilege IAM, and compliance-as-code. You work in a GxP-regulated environment where auditability and traceability of deployments are non-negotiable.

Observability and Reliability

Production monitoring, alerting, log aggregation, and incident response infrastructure. Support for developer teams. Blameless postmortem culture.

Current Tech Stack

  • Cloud: AWS
  • IaC: Terraform, CloudFormation
  • CI/CD: GitHub Actions
  • Containers: Docker, ECS
  • Languages: Python, Bash
  • Data: PostgreSQL / Aurora, S3 data lake, Databricks (Lakehouse)

Why This Role Matters

TetraScience is building the data and AI platform for drug development. Our customers are global pharma companies running regulated scientific workloads. The infrastructure you build determines whether we ship features weekly or monthly, whether customer environments are secure and compliant by default, and whether the platform scales from tens to hundreds of enterprise deployments. Release velocity is a company-level strategic priority, and this role is at the center of it.

What We Are Not Looking For

To save everyone’s time: this role is not for  traditional IT operations. If your background is primarily in manual server provisioning, ticketing-system-driven change management, desktop support, or on-prem datacenter administration, if you always deploy someone else’s code via IaC,  this is not the right fit. We need someone whose default mode is writing code to solve infrastructure problems.