About the role
Manager - Site Reliability
About the Role
We are looking for a Manager SRE to lead a team of 8-10 Site Reliability Engineers within our Real-Time
Platform. The platform processes over 500 billion requests daily — with stringent latency requirements
where every millisecond matters.
As Leader, you will own the reliability charter for this platform: setting technical direction, growing
engineers, partnering with product and development leadership, and ensuring the infrastructure is
robust, scalable, and always on.
The team is also evolving rapidly toward agentic AI. As a leader, you should be well-versed in the modern
AI ecosystem and capable of driving the adoption of AI-powered tools, workflows, and automation
frameworks that improve engineering productivity, operational excellence, and platform reliability.
What You'll Do
People Leadership & Team Management
• Lead, mentor, and grow a team of 8-10 SREs across varying experience levels, fostering a culture
of ownership, learning, and psychological safety.
• Drive AI adoption, AIOps, intelligent automation, and agentic AI initiatives.
• Conduct regular 1:1s, performance reviews, and career development conversations; define clear
growth paths for individual contributors.
• Drive hiring: partner with recruiting to define role requirements, lead interviews, and build a
diverse, high-performing SRE team.
• Manage team workload, priorities, and on-call rotations to prevent burnout while maintaining
operational excellence.
• Champion SRE best practices: error budgets, SLOs/SLIs/SLAs, blameless post-mortems — and
instill a data-driven reliability culture.
Infrastructure Strategy & Ownership
• Own the end-to-end reliability roadmap for the real-time platform: load balancers, data stores,
CI/CD pipelines, observability stacks, and networking layers.
• Define and drive multi-quarter infrastructure projects focused on resilience, scalability, and cost
efficiency to support 500B+ daily requests.
• Develop and enforce policies and procedures that improve platform stability; represent the team
in architectural reviews and cross-functional planning.
• Establish infrastructure-as-code standards using tools such as Terraform, Puppet, or Ansible and
ensure consistent adoption across the team.
• Bring deep, hands-on technical expertise in Kubernetes — including cluster design,
multi-tenancy, networking, autoscaling, upgrades, and operational best practices at scale.
• Drive architectural ownership across the SRE landscape, making high-judgment decisions on
platform design, service topology, and infrastructure trade-offs.
• Define and evolve the cloud and container strategy (Kubernetes, service mesh, CI/CD,
observability) to support rapid product growth and engineering velocity.
• Lead capacity planning, performance engineering, and resilience initiatives, including DR, chaos
engineering, and multi-region availability.
Cross-Functional Collaboration
• Partner closely with software engineering leads to set quality and performance benchmarks;
ensure production-readiness criteria are met before every deployment.
• Participate in system design reviews, providing leadership-level input on infrastructure reliability,
security, and operability.
• Serve as the primary point of escalation for high-severity incidents; coordinate cross-team
response and ensure transparent communication to stakeholders.
• Collaborate with product management to balance feature velocity against reliability investments,
using error budgets as a shared language.
Tooling, Automation & Performance
• Drive the vision for internal SRE tooling: monitoring, alerting, deployment automation, failure
detection, and self-healing systems.
• Champion performance optimization initiatives across the full stack — from request handling in
load balancers to database query tuning — with a focus on sub-millisecond latency targets.
• Ensure robust observability across all services using Prometheus, Grafana, or ELK stack; establish
dashboards and alerts that give the team real-time operational insight.
• Oversee CI/CD pipeline health (Jenkins, ArgoCD) and continuously improve deployment speed,
safety, and rollback capabilities.
Who Should Apply
Required Qualifications
• B.Tech / M.Tech or equivalent in Computer Science, Information Technology, or a related field.
• 12+ years of overall experience in SRE, infrastructure engineering, or DevOps, with at least 2–3
years in a people management role leading teams of 8+ engineers.
• Proven track record of building and scaling SRE teams within high-volume, latency-sensitive
distributed systems.
• Strong technical foundation in networking concepts (TCP/IP, routing, SDN) and modern software
architectures.
• Hands-on proficiency in Python, Go, or Ruby with a strong automation mindset.
• Deep experience with Kubernetes and container orchestration; familiarity with GCP or AWS
cloud platforms in-addition to in large scale Co-location data centers.
• Strong understanding of agentic AI, AIOps, MCP, A2A, and AI automation frameworks.
• Demonstrated ability to define and operate against SLOs, error budgets, and reliability metrics at
scale.
• Ability to independently own complex problem statements, set team priorities, and drive
solutions end-to-end.
Preferred Skills & Tool Expertise
• Infrastructure as Code: Terraform, Puppet, or Ansible.
• Monitoring & Logging: Prometheus, Grafana, ELK stack.
• CI/CD Pipelines: Jenkins, ArgoCD.
• Databases: MySQL (relational), Redis (NoSQL), AeroSpike, HBase etc
• Web/Application Servers: Envoy, Nginx.
• Version control: Git-based workflows at team scale.
• Experience in the ad tech / programmatic domain (real-time bidding systems, DSPs, SSPs) is a
strong plus.
• Familiarity with incident management frameworks (ITIL, PagerDuty ecosystems) and blameless
post-mortem culture.
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