As an SRE - DevOps at HP, you will be pivotal in ensuring the reliability, scalability, and automation of the Gen AI Platform. This role involves working across AWS, Azure, and GCP to facilitate seamless deployment, operation, and monitoring of the platform. You will lead a team of skilled DevOps engineers and collaborate closely with development, operations, and other cross-functional teams to drive the implementation and enhancement of DevOps practices throughout the software development lifecycle.
Key Responsibilities
- Maintain and enhance continuous integration systems for efficient development and release processes.
- Design and implement secure automation solutions for development, testing, and production environments.
- Develop complex solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring.
- Design and engineer the DevOps CI/CD tooling and platform roadmap, overseeing these platforms' lifecycle.
- Collaborate with security teams to ensure best practices for application and infrastructure security, including vulnerability scanning, access controls, and regulatory compliance.
- Lead a team in implementing DevOps infrastructure projects.
- Manage the organization's continuous integration and delivery pipeline to maximize efficiency.
- Implement industry best practices for system hardening and configuration management.
- Understand customer/end-user requirements and project KPIs.
- Demonstrate experience with large-scale, distributed systems design and architectural decisions.
Education & Experience
- Four-year or Graduate Degree in Computer Science, Information Systems, or a related field, or equivalent work experience.
- Typically 7-10 years of experience in software development, IT, engineering, or a related field.
Preferred Experience
- Experience supporting AI or machine learning platforms.
- Certifications in AWS, Azure, or GCP.
- Familiarity with monitoring and logging tools such as Grafana, Kibana, or Splunk.
- Background in software development or system administration.
Qualifications
- 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 adaptability 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 outlines the general nature and level of work performed in this role and is not intended to be an exhaustive list of all duties, skills, responsibilities, or knowledge. Responsibilities and functions may be adjusted as needed by management.