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SRE

SRE

ConfidentialMumbai
30+ days ago
Job description

What will you do at Fynd

  • Lead, mentor, and grow a team of 2-5 Site Reliability Engineers.
  • Define, implement, and advocate SRE best practices like SLAs, SLOs, SLIs, error budgets, and chaos engineering.
  • Build and maintain automated CI / CD pipelines and infrastructure using tools like Terraform, Jenkins, or GitHub Actions.
  • Own the observability stack—monitoring, alerting, logging, and tracing across microservices and platforms.
  • Improve reliability and scalability of services by proactively identifying bottlenecks and automating manual ops tasks.
  • Drive incident response practices including on-call rotations, runbooks, and blameless postmortems.
  • Ensure high availability and uptime across distributed systems hosted on AWS.
  • Collaborate with cross-functional teams to ensure the architecture is cloud-native, secure, and fault-tolerant.
  • Implement and optimize systems for cost-efficiency, auto-scaling, and performance.
  • Contribute to open source or write technical blogs to share insights and practices with the broader tech community.
  • This is a startup, so expect rapid changes and plenty of opportunities to take initiative and drive new initiatives.

Some Specific Requirements

  • At least 3+ years of experience leading SRE / DevOps / Infrastructure teams, with 5+ years overall in backend, systems, or infrastructure roles.
  • Strong experience managing distributed systems and microservices at scale.
  • Good understanding of Linux, Networking, Load Balancing, and Security concepts.
  • Hands-on experience with AWS services like EC2, ELB, AutoScaling, CloudFront, S3, CloudWatch.
  • Experience with container technologies and orchestration—Docker and Kubernetes is a must.
  • Strong proficiency with Infrastructure-as-Code tools like Terraform, CloudFormation, or Pulumi.
  • Familiarity with observability tools like Prometheus, Grafana, ELK, or Datadog.
  • Programming / scripting skills in Python, Go, Bash or similar for automation and tooling.
  • Understanding of message queues and event-driven architectures using Kafka or RabbitMQ.
  • Ability to manage incidents, write detailed postmortems, and improve reliability across teams and services.
  • Comfortable working in a fast-paced environment with a strong culture of ownership and continuous improvement.
  • Skills Required

    Kubernetes, Docker, Prometheus, Grafana, Terraform

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