Sr Engg Manager, SRE & Platform Automation

Aziro; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Infoblox in Bengaluru, India, seeks a Sr. Engineering Manager for Site Reliability Platform Automation to build and lead a new team advancing reliability, platform automation, and self-service across global cloud SaaS platforms.

You will partner with DevOps, CloudOps, product engineering, and security to define reliability targets, reduce toil, and scale production readiness, while championing AI-assisted tooling and data-driven decision making.

Qualifications

• 15+ years in software/infra/platform engineering fields.
• 3+ years leading software or infrastructure engineering teams.
• Hands-on coding and architectural review capabilities.
• Experience with reliability practices such as SLIs/SLOs and incident response.
• Experience with AI-assisted tooling for productivity or decision support.

Responsibilities

• Build and lead a nine-engineer team, recruiting, onboarding, coaching, and developing members.
• Define team charter, roadmap, and delivery priorities for reliability and self-service enablement.
• Establish SLOs, SLIs, error budgets, and maturity measures for core services.
• Partner with product engineering to improve observability and production readiness.
• Automate toil reduction across DevOps and CloudOps workflows.

Skills

Team leadership

Hands-on engineering

Reliability engineering

Observability

Automation

AI-assisted tooling awareness

Education

Bachelor's degree in Computer Science/Engineering/IT

Master's degree preferred

Tools

AWS

GCP

Kubernetes

Terraform

CI/CD

Python

Go

Job description

Job Summary

Sr. Engineering Manager, Site Reliability Platform Automation We have an opportunity for an Sr. Engineering Manager, Site Reliability Platform Automation to join our SaaS Platform Engineering team in Bangalore, India, reporting to the Senior Director, Site Reliability Platform Engineering. In this pivotal role, you will build and lead a new team of engineers responsible for advancing reliability engineering, platform automation, and self-service capabilities across Infoblox s global cloud networking and SaaS platforms. Collaborating closely with DevOps, CloudOps, product engineering, architecture, security, and product management teams, you will establish a measurable reliability practice, reduce operational toil, and help product engineering teams own more of their DevOps lifecycle. You will also champion the responsible use of AI-assisted tools to improve engineering productivity, operational analytics, automation, and incident decision support.

Be a Contributor - What You ll Do

• Build and lead a high-performing team of nine engineers while recruiting, onboarding, coaching, and developing team members in parallel
• Define and execute the team charter, roadmap, operating model, and delivery priorities across reliability measurement, toil automation, resilience testing, and self-service enablement
• Establish reliability practices across High Availability, SLO/SLI, Error Budgets, Chaos/DR Testing, Change Management Governance, Incident Response, Observability, and Application Team Performance Capacity Tuning
• Define SLIs, SLOs, error budgets, reliability targets, and evidence-based maturity measures for critical and core services
• Partner with product engineering teams to improve observability, capacity planning, incident response, change safety, and production readiness
• Reduce operational toil across NA DevOps, IN DevOps, and CloudOps Engineering by automating CVE remediation, EKS and RDS upgrades, third-party provider testing, and recurring infrastructure workflows
• Establish a measured baseline for keep-the-lights-on work and drive reduction from approximately 48% of capacity toward the organization s 29% target
• Build golden paths, Terraform modules, and Kyverno policies that enable product teams to provision and operate services independently
• Shift ownership of deployments, operational readiness, SLOs, and routine DevOps activities toward the teams that build and own the services
• Lead intake and prioritization across four engineering teams, communicate trade-offs, and report progress against committed wave dates

Be Prepared - What You Bring

• 15+ years of experience in software engineering, infrastructure engineering, platform engineering, DevOps, SRE, or a related technical field, including 3+ years managing software or infrastructure engineering teams
• Hands-on engineering foundation with the ability to review code, evaluate architecture, guide technical decisions, and maintain a strong engineering bar with senior engineers
• Broad experience across platform infrastructure, developer tooling, automation, reliability engineering, and production operations
• Demonstrated success building and scaling a team while hiring, onboarding, and delivering work concurrently
• Experience establishing or operating reliability practices such as SLIs, SLOs, error budgets, observability, incident response, capacity planning, or disaster recovery
• Experience reducing operational toil through measurable baselines, automation outcomes, capacity impact, and adoption metrics
• Strong experience with AWS or GCP, Kubernetes, Terraform, CI/CD systems, and automation using Python, Go, or a comparable language
• Proven ability to shift ownership left and build internal platforms or self-service capabilities that product engineering teams adopt
• Practical experience using AI-assisted engineering or operational tools for productivity, analytics, automation, content generation, or decision support, with appropriate human oversight
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field; Master s degree preferred

Nice to have

• Experience operating Kubernetes and cloud platforms at multi-tenant, multi-region, or organizational scale
• Experience across both AWS and GCP, including regulated environments such as FedRAMP, SOC 2, or ISO-controlled platforms
• Experience with Prometheus, Grafana, OpenTelemetry, ELK, Datadog, or comparable observability platforms
• Experience with policy as code, including Kyverno, OPA, or Gatekeeper
• Experience with Jenkins, GitHub Actions, GitOps, or Argo
• Experience applying LLM-based or agentic tooling to operational workflows
• Experience managing distributed engineering teams across US and India time zones
• Experience carrying on-call responsibility, serving as an incident commander, or making production decisions during high-severity incidents