Cloud Platform Engineer

Description -

Job Summary

The SRE - DevOps will be responsible for the reliability, scalability, and automation of the Gen AI Platform. the role will work across AWS, Azure, and GCP to ensure seamless deployment, operation, and monitoring of the platform.

This role is responsible for supporting a team of skilled DevOps engineers and collaborating closely with development, operations, and other cross-functional teams to drive the implementation and enhancement of DevOps practices throughout the software development lifecycle. The role creates real-time monitoring, alerting, response and fault analysis to achieve organization's solution and business performance requirement and ensures deployments meet needed security and compliance requirements. The role maintains clear and effective communication with stakeholders, including executives, users, and other departments, to provide updates, address concerns, and manage expectations.

Responsibilities
• Maintains and improves continuous integration systems for efficient development and release processes.
• Designs and implements secure automation solutions for development, testing, and production environments.
• Develops complex solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring.
• Designs and engineers the DevOps CI/CD tooling and platform roadmap, taking ownership of these platforms' lifecycle.
• Collaborates with security teams to ensure best practices for application and infrastructure security, including vulnerability scanning, access controls, and compliance with relevant regulations.
• Takes on leadership role in a team that implements DevOps infrastructure projects.
• Manages the organization's continuous integration and delivery pipeline to maximize efficiency.
• Implements industry best practices for system hardening and configuration management.
• Seeks understanding of customer/end-user requirements and project KPIs.
• Demonstrates experience with large-scale, distributed systems design and architectural decisions.


Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in software development, information technology, engineering environment, or a related field.

Preferred Experience

• Prior experience in supporting AI or machine learning platforms.
• Certifications in AWS, Azure, or GCP.
• Experience with monitoring and logging tools like Grafana, Kibana, or Splunk.
• Background in software development or system administration.

Qualification

• Proficiency in cloud services across AWS, Azure, and GCP.
• Strong experience with infrastructure as code tools such as Terraform or CloudFormation.
• Expertise in CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.
• Knowledge of containerization and orchestration technologies, including Docker and Kubernetes.
• Familiarity with scripting languages for automation, such as Bash or Python.
• Understanding of network and security principles in a cloud environment.
• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment.

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

The base pay range for this role is $118,050 to $181,800 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement