Cloud Platform Architect, Tech Lead

TetraScience•Boston, MA

4d•Remote

About The Position

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.

Requirements

7+ years in DevOps, Cloud Engineering, or Platform Engineering roles, with at least 2 years in a senior or lead capacity
Deep, daily-driver coding experience: programmatically managing infrastructure through Python, APIs and IaC tools is second nature.
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)
Designed and built CI/CD pipeline infrastructure (not just consumed existing pipelines). GitHub Actions, GitLab CI, or Jenkins at scale.
Container orchestration: ECS, Docker, Kubernetes (EKS preferred), service mesh concepts
Scripting and automation: Python or Go. Bash only is not enough
Git-based workflows, branch strategies, and pull-request-driven infrastructure changes
Experience designing and operating resilient and scalable cloud solutions
Experience operating in a regulated or compliance-sensitive environment (GxP, SOC2, HIPAA, FedRAMP, or similar)

Nice To Haves

Databricks experience is strongly preferred.
AWS. Databricks. Azure and GCP are nice to have.
AWS Solution Architect Professional or equivalent certification
Managed database services: Aurora, RDS, Redshift, DynamoDB, or Databricks infrastructure provisioning
Big data infrastructure: Data lake storage architectures, Lakehouse, ETL pipeline infrastructure
Cost optimization: resource tagging strategies, FinOps practices in aws
Policy-as-code: OPA/Rego, Sentinel, or AWS SCPs for governance at scale

Responsibilities

Own, design, build, and maintain the cloud infrastructure using Cloudformation, Terraform and custom Python glue.
Architect the deployment pipeline infrastructure end to end, including GitHub Actions, CodeBuild, container image pipelines, code scanning, artifact registries, pre-merge integration environments, promotion gates, and automated rollback.
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.
Embed security into the product and pipelines: container image scanning, SAST/DAST integration, secrets management, least-privilege IAM, and compliance-as-code.
Build and maintain production monitoring, alerting, log aggregation, and incident response infrastructure.
Support developer teams.
Foster a blameless postmortem culture.