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Open nowPosted 8 hours agoWe saw it 104 min after it went up

Manager Site Reliability

Weekday AI

Where
Bengaluru, KA, India
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Your applicationOpen nowManager Site ReliabilityWeekday AI · Bengaluru, KA, India

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This job: posted 8 hours ago

The posting

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟳𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟵𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟳𝟱-𝟵𝟬 𝗟𝗣𝗔)

Experience: 15+ yrs

Location: Bengaluru

As a Manager Site Reliability, you will lead a high‑performing SRE team responsible for designing, deploying, and maintaining the company’s critical infrastructure across cloud, on‑premise, 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 pre‑empt 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 business’s rapid growth and technical ambitions.

Requirements

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design and oversee the implementation of scalable, highly available infrastructure across multiple cloud providers and on‑premise data centers.

• Lead the development and deployment of automation and observability pipelines using cutting‑edge tools and agentic AI technologies to detect, diagnose, and resolve incidents faster.

• Define and enforce SRE best practices, SLIs, SLOs, and error budgets, ensuring measurable reliability targets are met.

• Mentor and coach SRE engineers, fostering a culture of continuous learning and professional growth within the team.

• Collaborate with DevOps and platform engineering teams to integrate CI/CD pipelines, infrastructure as code, and security controls into the delivery lifecycle.

• Drive incident management processes, including post‑mortem analyses, root cause investigations, and corrective action plans.

• Partner with product management and business stakeholders to align reliability priorities with feature roadmaps and release schedules.

• Develop and refine monitoring, alerting, and reporting dashboards that provide actionable insights to cross‑functional teams.

• Advance the adoption of AIOps strategies that leverage machine learning for anomaly detection, capacity forecasting, and automated remediation.

• Represent the SRE organization in executive reviews, presenting reliability metrics, risk assessments, and improvement roadmaps.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• 15+ years of experience in site reliability, infrastructure engineering, or DevOps roles, with a proven track record of leading large, high‑scale teams.

• Deep expertise in cloud platforms (AWS, Azure, GCP), Kubernetes, containers, CI/CD, and infrastructure‑as‑code tools (Terraform, Pulumi, Ansible).

• Hands‑on experience with agentic AI, AIOps platforms, and machine‑learning‑based incident response solutions.

• Strong leadership skills, including talent acquisition, mentorship, and cross‑functional collaboration.

• Excellent analytical mindset, with a data‑driven approach to defining SLIs/SLOs and performance optimization.

• Proven ability to translate complex technical concepts into clear, actionable communication for executives and business partners.

• Demonstrated success in implementing robust incident management frameworks, post‑mortem cultures, and continuous improvement cycles.

• Familiarity with compliance, security, and regulatory requirements impacting cloud and on‑premise infrastructures.

• Ability to thrive in a fast‑paced, dynamic environment, juggling multiple priorities while maintaining high standards of quality.

• Passion for innovation, staying up‑to‑date with emerging trends in SRE, cloud-native technologies, and AI‑driven operations.

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