SRE Architect for GenAI Integration Platform

We are seeking a highly skilled Site Reliability Engineer/Architect (SRE) to join our innovative and fast-paced team.

In this role, you will be responsible for designing and implementing modern SRE practices to enhance the reliability and scalability of our enterprise-grade Generative AI (GenAI) integration platform. You will play a vital role in driving operational excellence by adopting advanced methodologies and tools while collaborating with key stakeholders across technical and business units.

Responsibilities

• Define Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to establish reliability standards and monitor system health
• Architect resilient production systems using methodologies like canary deployments, shadow traffic, and testing-in-production
• Develop incident management strategies and automate on-call operations to minimize downtime and improve system stability
• Enhance observability frameworks with logging, tracing, and monitoring for real-time visibility and proactive troubleshooting
• Automate tasks related to scalability, performance optimization, and operational processes for improved efficiency
• Collaborate with engineering teams to integrate SRE principles into system design and development
• Provide strategic leadership for implementing site reliability solutions in multi-cloud, multi-tenant environments for enterprise applications
• Advise executive stakeholders with insights and recommendations to align SRE strategies with organizational goals
• Promote a culture of innovation and operational reliability through mentoring and industry-leading best practices
• Ensure the platform’s infrastructure supports high availability and scalability in partnership with architecture and DevOps teams
• Drive continuous improvement by identifying opportunities for process innovation and optimization

Requirements

• 10+ years of professional experience in SRE, DevOps, or related areas, including managing production systems
• Expertise in SRE practices such as SLOs, SLIs, canary testing, and incident management
• Proficiency with cloud technologies like AWS, Google Cloud Platform, or Azure, with hands-on experience in multi-cloud setups
• Background in observability tools such as Prometheus, Grafana, or ELK Stack, as well as monitoring distributed systems
• Skills in automation platforms such as Terraform, Ansible, or Kubernetes, enabling infrastructure-as-code adoption
• Familiarity with programming languages like Python, Go, or Bash for building automation solutions
• Strong understanding of CI/CD pipelines, containerization technologies, and orchestration frameworks
• Competency in system architecture for fault tolerance, redundancy, and performance optimization
• History of collaborating effectively with diverse stakeholders, from technical teams to executive management
• Background in managing enterprise-scale systems and multi-tenant platform deployments

Nice to have

• Knowledge of Generative AI platforms and integration techniques
• Understanding of managed database services, including Amazon RDS, Google Spanner, or Azure SQL
• Familiarity with security practices for enterprise platforms and multi-cloud infrastructures
• Background in contributing to technical roadmaps for distributed systems at scale
• Capability to lead initiatives involving Chaos Engineering or disaster recovery strategies