Data Engineering

Role Overview
We are looking for an experienced Site Reliability Engineering (SRE) Manager to lead a team of highly skilled SREs in managing, automating, and optimizing our cloud infrastructure on Google Cloud Platform (GCP). The SRE Manager will be responsible for ensuring the reliability, availability, and performance of critical services while driving automation and operational excellence having 8+ years of experience.
As an SRE Manager, you will work closely with development, infrastructure, and security teams to implement scalable, resilient, and high-performance solutions. This role is ideal for someone passionate about reliability engineering, cloud automation, and observability.
Key Responsibilities:

Leadership & Team Management
• Lead, mentor, and grow a team of Site Reliability Engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Define and drive SRE best practices, focusing on reliability, automation, monitoring, and incident response. • Collaborate with development, DevOps, and security teams to align infrastructure and application reliability with business objectives.
• Own SRE roadmap and strategy, ensuring alignment with organizational goals and industry best practices.
Reliability & Performance
• Ensure the uptime, availability, and performance of critical applications hosted on GCP.
• Implement SLOs (Service Level Objectives), SLIs (Service Level Indicators), and SLAs (Service Level Agreements) to measure system reliability.
• Conduct root cause analysis (RCA) for production incidents and drive post-mortems to improve system resilience.
Automation & CI/CD
• Automate infrastructure management using Infrastructure-as-Code (IaC) tools such as Terraform or Pulumi. • Improve CI/CD pipelines using GitOps methodologies to enable faster and reliable deployments. • Champion self-healing architectures to minimize manual intervention.
Observability & Incident Management
• Implement and enhance monitoring, logging, and alerting using tools like Prometheus, Grafana, Stackdriver (Cloud Monitoring), and Open Telemetry.
• Develop on-call rotations, runbooks, and incident management processes to minimize downtime and improve MTTR (Mean Time to Resolution).
• Use AI/ML-based anomaly detection for proactive monitoring.
Security & Compliance
• Ensure security best practices for IAM, networking, and data encryption within GCP.
• Conduct security audits and work with compliance teams to ensure adherence to SOC2, ISO 27001, HIPAA, or other

regulatory frameworks.
• Implement zero-trust security models and automated compliance policies.
Cost Optimization & Capacity Planning
• Optimize cloud costs using GCP cost management tools, rightsizing, and auto-scaling.
• Implement capacity planning strategies to balance cost and performance.
• Work with finance teams to forecast infrastructure costs and optimize spend.
Required Skills & Qualifications:

Technical Skills
• Strong expertise in Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud SQL • BigQuery, and Cloud Spanner.
• Hands-on experience with Terraform, Pulumi, or Cloud Deployment Manager for Infrastructure-as-Code (IaC). • Experience with CI/CD tools like GitHub Actions, ArgoCD, Spinnaker, or Jenkins.
• Strong knowledge of Kubernetes (GKE) and container orchestration.
• Experience with SRE principles such as error budgets, chaos engineering, and observability. • Strong scripting and automation skills in Python
• Experience with monitoring and observability tools (Stackdriver, Datadog, Prometheus, Grafana, New Relic).
Leadership & Soft Skills
• Proven experience managing and mentoring SRE teams.
• Strong problem-solving skills with the ability to troubleshoot complex production issues. • Ability to work in a fast-paced, DevOps-oriented environment.
• Strong communication and stakeholder management skills.
• Experience collaborating with cross-functional teams, including engineering, security, and product teams.
Preferred Qualifications

• GCP Professional Cloud Architect or GCP Professional DevOps Engineer certification.
• Experience with multi-cloud or hybrid cloud environments.
• Hands-on experience with serverless computing and event-driven architectures.
• Prior experience in high-traffic, distributed systems.