Site Reliability Engineer

IT Sector
Hyderabad
October 23, 2026
Full Time
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Job Description

Be part of a team that’s revolutionizing data security through AI-driven solutions.

The Site Reliability Engineer owns the reliability, performance, and operability of multi-tenant SaaS platform in the cloud. You will deep-dive into production systems across Linux, networking, AWS, Kubernetes, and infrastructure-as-code, and support the data plane that connects enterprise customers’ environments (including Snowflake and modern data platforms) to security and analytics services.

This is a hands-on IC role: you debug hard production problems, design for scale, harden automation with Terraform, and raise the operational bar for the engineering organization. You partner with Product and Engineering on architecture and incident response, and you help customer-facing teams when platform reliability or complex environment issues block adoption.

If you thrive on root-cause analysis under pressure, care about SLOs and sustainable on-call, and want to shape reliability for a fast-growing cloud data security platform, this role is for you.

What You’ll Do

  • Improve the reliability, performance, and scalability of multi-tenant SaaS platform through SLOs, observability, automation, capacity planning, and effective incident response.
  • Diagnose complex Linux performance issues involving CPU, memory, I/O, scheduling, and resource contention
  • Troubleshoot and design networks across TCP/IP, DNS, TLS, load balancing, NAT, routing, AWS/Azure VPC connectivity, peering.
  • Design, operate, secure, and optimize AWS/Azure services, including but not limited to, EKS, EC2, VPC, IAM, S3, RDS/Aurora, load balancers, CloudWatch, Entra, Azure App Services, Azure SQL Database, and Azure Storage etc
  • Operate production Kubernetes at scale, including upgrades, autoscaling, CNI, ingress, scheduling, RBAC/IRSA, resource governance, and safe deployments.
  • Build and maintain advanced Terraform modules, remote state, CI/CD workflows, drift remediation, provider upgrades, and reproducible environments.
    • Improve the reliability and security of data lakes like Snowflake/Databricks and data-engineering integrations, including ingestion, connectivity, governance, observability, and performance.
    • Lead incident investigations, partner with Product, Engineering, and customer-facing teams on architecture and production readiness.

    What We Need To See

    • Degree in Computer Science or a related technical field involving coding, or equivalent experience
    • 3+ years of experience in SRE, Platform Engineering, DevOps, or a similar production reliability role
    • Deep Linux systems experience with proven performance and reliability troubleshooting in production
    • Strong networking fundamentals: TCP/IP, DNS, HTTP/TLS, load balancers, and cloud VPC networking with hands-on debugging skill
    • Strong programming or scripting skills (Python, Go, or similar)
    • Advanced production experience with AWS/Azure (compute, networking, IAM, containers/orchestration, observability)
    • Advanced Kubernetes experience operating production clusters (preferably EKS): networking, security, scaling, and failure diagnosis
    • Advanced Terraform / CloudFormation / infrastructure-as-code: modules, state, CI/CD for infra, Gitlab
    • Experience with observability stacks (prometheus, grafana, ELK, metrics, logs, traces) and turning signals into actionable SLOs and alerts
    • Ability to solve complex problems in distributed systems and multi-tenant SaaS at scale
    • Working knowledge of SQL, technical logs, APIs, and architecture diagrams
    • Excellent communicator; clear under incident pressure; able to explain root cause to engineers and stakeholders
    • Comfortable and productive in a remote / hybrid collaboration model with global time zones

    Ways To Stand Out From The Crowd

    • Hands-on experience with Snowflake and/or Databricks (connectivity, performance, governance, cost)
    • Broader data-platform experience: data lakes/warehouses, streaming (Kafka/Kinesis), ETL pipelines
    • Multi-cloud familiarity (GCP and/or Azure) in addition to deep AWS strength
    • Experience with enterprise data security, governance, and compliance-minded operations
    • Advanced Linux performance tooling in production
    • Prior ownership of on-call rotations, incident command, and reliability roadmaps.

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