• Lead the implementation of cloud platform designs across infrastructure, networking, security, automation, and observability • Partner with the Architecture team to review proposed designs, provide implementation and operability feedback • Translate architectural direction into production‑ready solutions with focus on reliability & resilience, performance & scalability, and cost efficiency • Collaborate with CloudOps and Engineering teams on roadmap execution and platform improvements • Drive infrastructure as code and CI/CD automation through standardized Terraform modules, pipelines, and platform tooling to improve consistency, security, and operational efficiency. • Serve as the technical escalation point for complex cloud and platform issues

Role Description 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. Qualifications - 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 to you. The web console is an afterthought. - 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) Requirements - Deep, hands-on AWS experience: Serverless Architecture, EKS/ECS, VPC/networking, IAM, KMS, CloudWatch, Lambda, S3, EC2, Kinesis, Athena, Glue, CloudTrail, CostExplorer. - Understanding of Well-Architected Framework principles and application in daily work. - Databricks experience is strongly preferred. - Embed security into the product and pipelines: container image scanning, SAST/DAST integration, secrets management, least-privilege IAM, and compliance-as-code. - Work in a GxP-regulated environment where auditability and traceability of deployments are non-negotiable. - Production monitoring, alerting, log aggregation, and incident response infrastructure. - Support for developer teams with a blameless postmortem culture. Benefits - Competitive compensation with equity - Unlimited PTO - Flexible remote-first work arrangements - Company-paid Life Insurance, LTD/STD - 401(k)

Role Description - Apoiar clientes na adoção de soluções de modernização de aplicações e infraestrutura em nuvem AWS; - Desenhar, validar e evoluir arquiteturas em nuvem escaláveis, seguras, resilientes e eficientes; - Desenvolver soluções, modelos de referência e ferramentas para a plataforma AWS; - Provisionar, configurar e gerenciar recursos de infraestrutura em AWS; - Definir e implementar automações de infraestrutura utilizando Infrastructure as Code (IaC) com Terraform, AWS CloudFormation e AWS CDK (Python); - Estruturar e manter pipelines de CI/CD para deploy de aplicações, agentes e ferramentas; - Garantir aderência ao AWS Well-Architected Framework; - Atuar no levantamento de requisitos técnicos e funcionais junto aos stakeholders; - Definir padrões arquiteturais, boas práticas de governança, segurança e observabilidade; - Compartilhar conhecimento e apoiar a evolução técnica do time. Qualifications - Ensino superior completo; - Certificação AWS Solutions Architect – Professional; - Experiência sólida com AWS; - Experiência prática com AWS CDK (Python), AWS CloudFormation e Terraform; - Experiência em desenho arquitetural, definição de soluções, provisionamento e configuração de recursos AWS; - Experiência com CI/CD, containers, Git, boas práticas DevOps e padrões de segurança em nuvem. Requirements - Experiência com Inteligência Artificial (IA) e MLOps; - Conhecimento em Analytics.

• Evaluate AI-generated web traffic and cloud infrastructure forecasts by assessing the accuracy and quality of forecasts and responses using a provided rubric