Role Overview

Join our team as the Principal Cloud/DevOps Engineer, a key player in our technological evolution. This role goes beyond traditional cloud infrastructure and DevOps, encompassing the automation and deployment of advanced computational processes, including machine learning models. You will be instrumental in ensuring our cloud infrastructure is robust, scalable, secure, and efficient, with a focus on supporting diverse technological solutions.

Key Responsibilities

1. Lead the management and optimization of our cloud environment, focusing on performance, security, and scalability.
2. Automate infrastructure provisioning and management, integrating complex computational and analytical model deployments.
3. Develop and enforce comprehensive security policies for both cloud infrastructure and data-intensive applications.
4. Work closely with development teams to optimize applications, machine learning model performance and help with setting up tools ensuring efficient deployment and monitoring.
5. Design and implement CI/CD pipelines that support both software and data-driven workflows.
6. Conduct regular security audits, adapting to the evolving demands of a data-centric infrastructure.
7. Champion best practices in cloud management, DevOps processes, and compliance for data-intensive applications.

Required Qualifications

1. Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
2. Minimum of 8 years in Platform/DevOps Engineering, with experience in cloud-based data processing and deployment strategies.
3. Expertise in managing public cloud environments (AWS preferred), including proficiency with data services and ML model deployment tools.
4. Skilled in Infrastructure-as-Code (IaC) using tools like Terraform, and in automating data processing tasks.
5. Experience with CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline), and integrating data-centric workflows.
6. Familiarity with monitoring and logging tools (e.g., Prometheus, Loki, Grafana) in application and data-intensive environments.
7. Proficiency in Configuration Management tools (Chef, Puppet, Ansible) and data orchestration tools (e.g., Airflow, Prefect).
8. Strong background in containerization using Docker and orchestration with Kubernetes.
9. In-depth knowledge of Linux, SQL, cloud security, scripting for automation (Python, Bash), load balancing technologies, and CDN.
10. Agile methodology experience, excellent communication, and leadership skills.
11. Adaptable, self-motivated, and capable of thriving in a fast-paced, unstructured startup environment.

Nice to Have

1. AWS Certifications (AWS Certified Solutions Architect, DevOps Engineer).
2. Extensive experience with scalable deployment of data processing and machine learning models (batch as well as real-time).
3. Practical experience in developing and maintaining ML systems with tools such as MLflow, BentoML, and Evidently AI.
4. Exposure to learning methodologies leveraging advanced modeling frameworks such as PyTorch and TensorFlow will be beneficial.
5. Familiarity with data governance and compliance standards.
6. Certification as a Kubernetes Administrator or Developer (CKA/CKAD).
7. Exposure to diverse cloud compute and data processing tool stacks (AWS, Azure, GCP, open source).

Employee Benefits

At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include:

1. Comprehensive Medical Insurance for you and your dependents.
2. In-Office Snacks Pantry.
3. Relocation Support.
4. Children's School Allowance.
5. Role-Related Training Support.
6. Wellness Programs.
7. Salary Advance for Housing Costs.
8. Travel Tickets.
9. Pension Contributions.

We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.

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