• Design and implement scalable, secure AWS infrastructure in collaboration with the Architecture team. • Translate high-level solution designs into production-ready, operational cloud implementations. • Engineer, deploy, and optimize AWS services including EC2, S3, Lambda, IAM, EBS/EFS, Systems Manager, Secrets Manager, CloudWatch, VPC (configuration-level), NLB, Amazon Kinesis, and related components. • Design and support migration of workloads from on-premises environments to AWS. • Develop and maintain Infrastructure as Code (Terraform preferred; CloudFormation acceptable) to standardize and automate provisioning. • Build, enhance, and maintain CI/CD pipelines for infrastructure and cloud-native deployments. • Automate provisioning, configuration management, monitoring, and routine operational tasks using scripting (Python, Bash, or similar). • Engineer and optimize AWS environments to support AI/ML and automation-driven workloads. • Implement AWS security best practices including IAM governance, encryption, logging, secrets management, and vulnerability remediation in collaboration with the security team. • Monitor system performance, availability, and reliability using CloudWatch, Datadog, Dynatrace, or similar tools; troubleshoot complex infrastructure issues to minimize downtime. • Drive cloud cost optimization initiatives and support FinOps best practices. • Contribute reusable modules, deployment standards, platform improvements, and cloud engineering best practices. • Mentor junior engineers and Cloud Operations team and provide technical guidance during implementation efforts. • Maintain clear and comprehensive technical documentation of configurations, processes, and operational procedures. • Provide operational support for existing Azure workloads, as required. • Provide basic support for SAP workloads hosted in AWS environments (optional). • Experience optimizing cloud environments and identifying AI/automation opportunities to drive business value. • Strong AWS IAM and service configuration expertise. • CI/CD, DevOps practices, and cloud automation frameworks. • Scripting and automation skills (Python, Bash, or similar) to streamline provisioning, deployments, and operational tasks. • Experience with containerization and Kubernetes (EKS preferred).

• Lead and manage the Cloud Engineering team, providing technical direction, mentoring, and performance development to drive engineering excellence. • Oversee the design, architecture, and implementation of secure, scalable AWS cloud infrastructure supporting QuartzBio’s SaaS platform. • Direct the development and maintenance of Terraform-based IaC, ensuring modularity, reusability, and consistent environment provisioning. • Design, implement, and refine Kubernetes (EKS) deployment strategies using Helm, ensuring reliability and efficiency across environments. • Optimize and govern CI/CD pipelines in GitLab, improving automation, deployment efficiency, and integration with Docker and Kubernetes. • Collaborate cross‑functionally with Engineering, QA, and Product teams to standardize tooling, deployment practices, and operational processes. • Identify, prioritize, and drive automation and process improvements across infrastructure, deployments, and cloud operations to enhance reliability and reduce manual effort. • Maintain strong working knowledge of modern cloud engineering practices, including tooling, source control, and integration patterns, to guide technical decision‑making and ensure alignment across the team. • Provide hands‑on coaching and mentorship to team members, supporting skill development, career growth, and high‑quality execution. • Lead and manage a functional cloud engineering team, establishing clear expectations, allocating work, and ensuring alignment with organizational priorities.

• Lead and manage the Cloud Engineering team, providing technical direction, mentoring, and performance development to drive engineering excellence. • Oversee the design, architecture, and implementation of secure, scalable AWS cloud infrastructure supporting QuartzBio’s SaaS platform. • Direct the development and maintenance of Terraform-based IaC, ensuring modularity, reusability, and consistent environment provisioning. • Design, implement, and refine Kubernetes (EKS) deployment strategies using Helm, ensuring reliability and efficiency across environments. • Optimize and govern CI/CD pipelines in GitLab, improving automation, deployment efficiency, and integration with Docker and Kubernetes. • Collaborate cross-functionally with Engineering, QA, and Product teams to standardize tooling, deployment practices, and operational processes. • Identify, prioritize, and drive automation and process improvements across infrastructure, deployments, and cloud operations to enhance reliability and reduce manual effort. • Maintain strong working knowledge of modern cloud engineering practices, including tooling, source control, and integration patterns, to guide technical decision-making and ensure alignment across the team. • Provide hands-on coaching and mentorship to team members, supporting skill development, career growth, and high-quality execution. • Lead and manage a functional cloud engineering team, establishing clear expectations, allocating work, and ensuring alignment with organizational priorities.

• Lead and manage the Cloud Engineering team, providing technical direction, mentoring, and performance development to drive engineering excellence. • Oversee the design, architecture, and implementation of secure, scalable AWS cloud infrastructure supporting QuartzBio’s SaaS platform. • Direct the development and maintenance of Terraform-based IaC, ensuring modularity, reusability, and consistent environment provisioning. • Design, implement, and refine Kubernetes (EKS) deployment strategies using Helm, ensuring reliability and efficiency across environments. • Optimize and govern CI/CD pipelines in GitLab, improving automation, deployment efficiency, and integration with Docker and Kubernetes. • Collaborate cross‑functionally with Engineering, QA, and Product teams to standardize tooling, deployment practices, and operational processes. • Identify, prioritize, and drive automation and process improvements across infrastructure, deployments, and cloud operations to enhance reliability and reduce manual effort. • Maintain strong working knowledge of modern cloud engineering practices, including tooling, source control, and integration patterns, to guide technical decision‑making and ensure alignment across the team. • Provide hands‑on coaching and mentorship to team members, supporting skill development, career growth, and high‑quality execution. • Lead and manage a functional cloud engineering team, establishing clear expectations, allocating work, and ensuring alignment with organizational priorities.