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Jobs/Cloud Engineer Role/Manager, Cloud Engineering

Manager, Cloud Engineering

Precision for MedicineRemote - India1w ago
RemoteMidAPACCloud ComputingSoftwareCloud EngineerCoachingAWSTerraformTeam ManagementKubernetes

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Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. • 8+ years of experience in CloudOps/DevOps, focused on building and managing scalable cloud infrastructure and automation. • Proven expereince in AWS services and Terraform, with strong proficiency in Infrastructure‑as‑Code practices. • Hands-on experience with container orchestration using Kubernetes/EKS and Helm Charts for application deployment and lifecycle management. • Proven experience working with CI/CD pipelines, especially using GitLab, Docker, and Kubernetes integrations. • At least 2 years of people leadership experience, including coaching engineers, providing technical direction, and managing team performance and execution. • 2–4 years of experience in stakeholder‑facing roles, including leading projects and translating technical requirements into actionable engineering plans. • Strong leadership, planning, and organizational skills, with the ability to set priorities, guide team execution, and influence cross-functional partners. • Exceptional analytical and problem‑solving skills, with the ability to diagnose complex infrastructure and deployment challenges. • Excellent written and verbal communication skills, including the ability to present technical concepts clearly to both technical and non-technical audiences. • Demonstrated ability to build strong partnerships with customers and internal stakeholders, including understanding and optimizing end‑to‑end workflows. • Skill in supervising, developing, and coaching employees, fostering a high‑performance culture and supporting career growth. • Ability to translate complex technical concepts into accessible language for diverse audiences, enabling clarity in decision‑making and stakeholder alignment. • Experience collaborating with customers and vendors to define expectations, ensure alignment, and support successful delivery outcomes. • Deep knowledge of AWS cloud architecture, including networking, compute, storage, security, and best practices for scalable, enterprise-grade environments. • Deep knowledge of AWS cloud architecture • Expertise in Infrastructure‑as‑Code using Terraform, with the ability to design modular, reusable, and secure IaC patterns. • Expertise in Infrastructure‑as‑Code • Strong proficiency with Kubernetes/EKS, Helm, and microservices deployment patterns, with a focus on reliability and performance. • Strong proficiency with Kubernetes/EKS • Advanced CI/CD skills, particularly with GitLab, including pipeline optimization, automated testing integrations, and secure deployment strategies. • Strong scripting and automation abilities (e.g., Python, Bash) with a mindset for building scalable, repeatable workflows. • Strong scripting and automation abilities • Competency in cloud security principles, including IAM, secrets management, compliance, and secure-by-design engineering. • Competency in cloud security principles • Leadership and people management skills, including coaching, mentoring, and building high‑performing engineering teams. • Excellent systems thinking and problem‑solving ability, capable of diagnosing complex infrastructure, deployment, and reliability issues. • Excellent systems thinking and problem‑solving ability • Strong communication and collaboration skills, with the ability to influence cross‑functional teams, drive alignment, and clearly articulate technical concepts to diverse audiences. • Strong communication and collaboration skills, with the ability to influence cross • functional teams, drive alignment, and clearly articulate technical concepts to diverse audiences. • Ability to drive continuous improvement, identifying opportunities to enhance automation, observability, cost efficiency, and operational maturity while guiding the team through successful implementation. • Ability to drive continuous improvement • Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Responsibilities

• 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.

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