Scientific Application Cloud Engineer

📍 Location: Cambridge, MA (Hybrid – 3 days onsite per week)💼 Role Type: Mid-LevelAbout The RoleWe are seeking a Mid-Level Scientific Application Cloud Engineer to design, deploy, and maintain cloud-based applications and infrastructure. This role involves close collaboration with development, operations, and security teams to build and manage scalable, reliable, and secure cloud solutions across AWS and Azure environments.The ideal candidate will have experience in both application-level and infrastructure-level engineering, along with a strong background in automation and CI/CD pipeline development.Key ResponsibilitiesDesign, build, and maintain cloud-based applications and infrastructure using AWS and some Azure technologies.Support application development teams in deploying, scaling, and monitoring microservices and serverless applications.Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or ARM templates.Develop and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.Monitor application performance and troubleshoot issues within cloud environments.Collaborate with security teams to ensure cloud governance and compliance with best practices.Optimize cost, performance, and reliability across cloud workloads.Automate operational tasks using Python, Bash, PowerShell, or similar scripting languages.Participate in on-call rotations and incident response activities when required.QualificationsRequired:Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).Prior experience supporting Pharma/Biotech scientific applications.3–5 years of experience in cloud engineering, DevOps, or software infrastructure roles.Proficiency with major cloud platforms (AWS, with exposure to Azure preferred).Experience with containers and orchestration (Docker, Kubernetes, ECS, AKS, or GKE).Strong understanding of networking, load balancing, and cloud security fundamentals.Familiarity with CI/CD, version control (Git), and automation tools.Excellent problem-solving skills and ability to collaborate across teams.PreferredPharma/Biotech IT experience supporting scientific applications.Cloud certifications (e.g., AWS Certified Solutions Architect – Associate).Knowledge of REST APIs, microservices, and modern application architectures.Exposure to Agile/Scrum development practices.Soft SkillsStrong communication and documentation abilities.Analytical mindset with attention to detail.Ability to work independently and collaboratively in cross-functional teams.Eagerness to learn and adopt new technologies.