Site Reliability Engineering architect

Key Responsibilities:

• Define and implement Site Reliability Engineering (SRE) practices to ensure high availability, scalability, and security.
• Collaborate with infrastructure teams to design and deliver robust solutions across cloud, on-premises, and data center environments.
• Embed security throughout development and deployment workflows, ensuring secure-by-design principles.
• Champion automation and Infrastructure as Code (IaC) to streamline operations and improve consistency.
• Leverage AIOps for proactive monitoring, anomaly detection, and automated incident response.
• Establish observability frameworks and reliability standards, including SLIs, SLOs, and SLAs.
• Work closely with network teams to architect secure, scalable network solutions and manage data center connectivity.
• Optimize CI/CD pipelines and source control processes for efficiency and reliability.
• Ensure compliance, redundancy, and disaster recovery strategies are in place and continuously validated.

Required Skills & Qualifications:

Technical Competencies

• Cloud & Container Platforms: Azure, AKS, OpenShift.
• DevSecOps Tools: Jenkins, Azure DevOps, Bitbucket, GitHub.
• Infrastructure Automation: Terraform, Ansible.
• Networking: Cisco switches, firewalls, VPNs, load balancers.
• Monitoring & AIOps: New Relic, Azure Insights, ML-based anomaly detection.
• Programming: Python, Go, Bash.
• Data Center Operations: Capacity planning, redundancy, disaster recovery.

Behavioral Competencies

• Strong analytical and problem-solving skills.
• Ability to work independently and drive initiatives end-to-end.
• Excellent communication and stakeholder management.
• Adaptability to emerging technologies (AI Ops, automation).

EDUCATION AND EXPERIENCE REQUIREMENTS:

• Bachelors degree in information technology or related field required
• 8+ years in SRE/Infrastructure roles with architecture-level responsibilities.
• Hands-on experience in cloud platforms, CI/CD, and automation frameworks.
• Proven track record in network architecture and data center operations.
• Familiarity with AIOps and AI/ML concepts for predictive analytics.