Cloud Devops Engineer

6 - 9 years

0 Lacs

Posted:2 days ago| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

Cloud/Infra Engineer

enGen Global

Our global collaborative of healthcare, operations, and IT experts creates innovative and sustainable processes for our clients, which keeps the ever-evolving consumers engaged and assists them in managing the future of their healthcare better.

About the AI Platforms and Services (AIPS) Team:

The AI Platforms and Services (AIPS) team is a critical enabler of AI-driven innovation within the company. We function as an internal service provider, delivering cutting-edge AI solutions and infrastructure to various business units and data science teams. Our mission is to empower the organization to leverage AI effectively, improve processes, and develop new AI-powered applications.

Our team culture is highly collaborative, innovative, and results oriented. We value continuous learning, open communication, and a commitment to excellence. We foster a supportive environment where team members can grow their skills and contribute to impactful projects. The team works closely with internal stakeholders to understand their needs and deliver tailored AI solutions. We also prioritize staying at the forefront of AI advancements, continuously exploring new technologies and methodologies.

Role Summary:

The Cloud/Infra Engineer will play a pivotal role within the AI Platforms and Services (AIPS) team, responsible for designing, implementing, and maintaining the robust cloud infrastructure that powers our AI initiatives. This individual will leverage their extensive DevOps experience to build and manage automated CI/CD pipelines, ensuring the seamless integration, deployment, and operation of AI applications. The role is critical for enabling our data science and development teams to innovate rapidly while ensuring the stability, scalability, and security of the underlying platforms. The engineer will act as a key technical expert for infrastructure automation and will collaborate closely with various stakeholders to support the company's AI-driven mission.

Responsibilities:

  • Design, deploy, and manage scalable and secure solutions on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Vertex AI, BigQuery, and Cloud Functions.
  • Develop and maintain CI/CD pipelines using GitLab for automated application deployment, testing, and release management.
  • Automate infrastructure provisioning and configuration management using Terraform.
  • Develop and maintain robust Python scripts for automating various cloud operations, pipeline orchestration, and system integrations.
  • Provide support for both Linux and Windows operating systems, including troubleshooting, patching, and performance optimization.
  • Implement and manage monitoring solutions with Dynatrace to ensure the health, performance, and availability of cloud applications and infrastructure.
  • Configure and manage GCP Alerts to proactively identify and respond to operational issues and security incidents.
  • Collaborate with development, operations, and data science teams to ensure seamless integration and optimal performance of cloud-based solutions.
  • Participate in on-call rotations and incident response as needed to ensure high availability of critical systems.
  • Continuously research and recommend new technologies and best practices to improve our cloud infrastructure and operational efficiency.
  • Document cloud architecture, processes, and operational procedures.

Skills:

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • 6-10 years of experience in a Cloud Engineer, DevOps Engineer, or similar role.
  • Experience with any Cloud Service Providers (AWS, Azure, GCP)
  • Strong experience in designing and implementing CI/CD pipelines using GitLab.
  • Proficiency in Linux and Windows operating system administration.
  • Demonstrated experience with Terraform for infrastructure automation.
  • Excellent Python scripting skills for automation and pipeline development.
  • Experience with monitoring tools, specifically Dynatrace.
  • Familiarity with configuring and managing GCP Alerts.
  • Understanding of cloud security best practices and compliance.
  • Strong problem-solving skills and the ability to troubleshoot complex technical issues.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Skills:

  • Google Cloud Platform (GCP) services including Cloud Run, Vertex AI, BigQuery, and Cloud Functions.
  • GCP certifications (e.g., Professional Cloud Engineer, Professional Cloud Architect).
  • Experience with other programming languages or scripting tools.
  • Experience with containerization technologies (e.g., Podman, GKE).
  • Knowledge of networking concepts in a cloud environment.

Shift Requirement:

3PM to 12 midnight

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