Cloud Reliability Engineer

HP•Houston, TX

13d•$130,700 - $205,200

About The Position

This role leads the design, engineering, deployment, and reliability of cloud platforms, infrastructure, and services. As a member of the Cloud Reliability Engineering team, the engineer ensures the availability, scalability, resiliency, security, and operational excellence of cloud-native solutions. The role drives automation, observability, incident management, and continuous improvement, partnering with engineering teams to deliver reliable and secure cloud services that support business needs. The position serves as a technical leader for cloud reliability, resiliency, availability, and operational excellence initiatives. It influences cloud platform strategy, operational standards, security posture, and reliability practices across multiple product and engineering teams; leads complex projects; and provides technical leadership for enterprise-scale cloud platforms and services. The work involves highly complex cloud infrastructure and distributed systems challenges, substantial independent judgment in establishing reliability standards and engineering practices, and resolution of critical production issues and reliability risks with enterprise-wide impact.

Requirements

Four-year or graduate degree in Computer Science, Information Technology, or a related discipline, or commensurate work experience or demonstrated competence.
Typically 7–10 years of work experience, preferably in distributed and cloud computing, software and cloud design, programming languages, agile development methodologies, or a related field.
Knowledge of Site Reliability Engineering (SRE).
Knowledge of cloud infrastructure and platform engineering.
Knowledge of high availability and disaster recovery.
Knowledge of observability, monitoring, and alerting.
Knowledge of incident management and root cause analysis.
Knowledge of SLOs and SLIs.
Knowledge of performance and capacity engineering.
Knowledge of AWS, Azure, and GCP.
Knowledge of Kubernetes and Docker.
Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, and Bicep.
Knowledge of DevOps and CI/CD.
Knowledge of cloud security and compliance.
Knowledge of Python, Java, and APIs.
Knowledge of microservices and distributed systems.
Knowledge of automation engineering.
Substantial independent judgment in establishing reliability standards, operational policies, and engineering best practices.

Nice To Haves

AWS, Microsoft Azure, GCP, or CSA certification.

Responsibilities

Lead the design, deployment, and management of cloud platforms and infrastructure in alignment with business, architectural, and security requirements.
Own the availability, reliability, scalability, and operational health of cloud services and platforms.
Design and implement cloud solutions and infrastructure to protect and manage cloud-native applications and data.
Build and own observability capabilities, including monitoring, logging, tracing, alerting, dashboards, and reliability metrics.
Establish and maintain Service Level Indicators (SLIs), Service Level Objectives (SLOs), and operational reliability standards.
Lead incident response, root cause analysis, problem management, and continuous improvement initiatives.
Ensure production environments meet HP security standards by coordinating security reviews, vulnerability remediation, compliance assessments, and penetration testing.
Build standards and automate infrastructure provisioning, deployment, configuration management, and operational processes using Infrastructure as Code (IaC) and DevSecOps practices.
Partner with DevOps and engineering teams to develop tooling, automation, and platform capabilities supporting cloud operations, microservices, and distributed systems.
Contribute to cloud platform strategy, architecture decisions, engineering roadmaps, and proof-of-concept initiatives.
Drive capacity planning, performance optimization, disaster recovery, and business continuity readiness.
Champion CI/CD, automated testing, and reliability engineering best practices.
Create operational runbooks, technical standards, and architecture documentation.
Provide mentorship on cloud reliability and operational excellence.
Lead complex projects and drive resolution of critical production issues and enterprise-wide reliability risks.