About this Manager Site Reliability role at Weekday AI
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๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ณ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ณ๐ฑ-๐ต๐ฌ ๐๐ฃ๐)
Experience: 15+ yrs
Location: Bengaluru
As a Manager Site Reliability, you will lead a highโperforming SRE team responsible for designing, deploying, and maintaining the companyโs critical infrastructure across cloud, onโpremise, and hybrid environments. You will orchestrate the continuous improvement of reliability metrics, automated incident response, and capacity planning while driving the adoption of agentic AI and AIOps solutions to preโempt outages and optimize resource usage. Your role will also encompass setting governance standards, mentoring engineers, and collaborating with product, security, and compliance teams to ensure seamless delivery of resilient services at scale. You will be instrumental in shaping the culture of operational excellence and innovation, ensuring that the engineering organization aligns with the businessโs rapid growth and technical ambitions.
Requirements
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โข Design and oversee the implementation of scalable, highly available infrastructure across multiple cloud providers and onโpremise data centers.
โข Lead the development and deployment of automation and observability pipelines using cuttingโedge tools and agentic AI technologies to detect, diagnose, and resolve incidents faster.
โข Define and enforce SRE best practices, SLIs, SLOs, and error budgets, ensuring measurable reliability targets are met.
โข Mentor and coach SRE engineers, fostering a culture of continuous learning and professional growth within the team.
โข Collaborate with DevOps and platform engineering teams to integrate CI/CD pipelines, infrastructure as code, and security controls into the delivery lifecycle.
โข Drive incident management processes, including postโmortem analyses, root cause investigations, and corrective action plans.
โข Partner with product management and business stakeholders to align reliability priorities with feature roadmaps and release schedules.
โข Develop and refine monitoring, alerting, and reporting dashboards that provide actionable insights to crossโfunctional teams.
โข Advance the adoption of AIOps strategies that leverage machine learning for anomaly detection, capacity forecasting, and automated remediation.
โข Represent the SRE organization in executive reviews, presenting reliability metrics, risk assessments, and improvement roadmaps.
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โข 15+ years of experience in site reliability, infrastructure engineering, or DevOps roles, with a proven track record of leading large, highโscale teams.
โข Deep expertise in cloud platforms (AWS, Azure, GCP), Kubernetes, containers, CI/CD, and infrastructureโasโcode tools (Terraform, Pulumi, Ansible).
โข Handsโon experience with agentic AI, AIOps platforms, and machineโlearningโbased incident response solutions.
โข Strong leadership skills, including talent acquisition, mentorship, and crossโfunctional collaboration.
โข Excellent analytical mindset, with a dataโdriven approach to defining SLIs/SLOs and performance optimization.
โข Proven ability to translate complex technical concepts into clear, actionable communication for executives and business partners.
โข Demonstrated success in implementing robust incident management frameworks, postโmortem cultures, and continuous improvement cycles.
โข Familiarity with compliance, security, and regulatory requirements impacting cloud and onโpremise infrastructures.
โข Ability to thrive in a fastโpaced, dynamic environment, juggling multiple priorities while maintaining high standards of quality.
โข Passion for innovation, staying upโtoโdate with emerging trends in SRE, cloud-native technologies, and AIโdriven operations.