Job responsibilities

• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of web Hosting platforms using data-driven analytics to improve service levels 
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
• Provides comprehensive and ongoing guidance, tools, and solutions to support the firms growth
• Works toward becoming an expert on the applications and platforms under your influence while understanding their interdependencies and limitations
• Documents and shares knowledge within your organization via internal forums and communities of practice
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

 

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
• Advanced knowledge in site reliability culture and principles with demonstrated ability to implement site reliability within an application or platform
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
• Advanced knowledge and experience in observability, monitoring, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Cloudwatch, Splunk, etc.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
• Strong knowledge and hands-on experience in SDLC process and software development
• Fluency in one programming language like Python, Ansible etc
• Strong communication skills with ability to mentor and educate others on site reliability principles and practices
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines

 

Preferred qualifications, capabilities, and skills

• AWS/Azure Exposure (Understanding and working experience in AWS/Azure applications, and understanding of resiliency, scalability, observability, monitoring etc,)
• Experience as SRE in complex and mission critical applications involving multitude of components of varying technical generations
• Exposure in AI/ML
• Drive to self-educate and evaluate new technology 

As SRE lead for Infrastructure Platforms - Web Hosting, youll support SRE for web infrastructure on-premise and in the Cloud.