Rohan Nayar

Senior Site Reliability Engineer with 7+ years of experience in SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Infrastructure as Code, CI/CD, observability, monitoring, incident response, and distributed systems. Experienced in AWS, Terraform, Python, Bash, Datadog, RabbitMQ, Couchbase, Elasticsearch, Docker, Jenkins, GitHub Actions, and Terraform Cloud. Improved availability, MTTR, alert quality, deployment reliability, cloud cost, and operational resilience across production systems, using SLIs, SLOs, SLAs, error budgets, and DORA metrics to sustain 99.9% SLA commitments.

Senior Site Reliability Engineer at Cvent (2022-12 – Present)

• Reduced EC2 node recovery time from hours to under 10 minutes by building self-healing AWS Lambda and Step Functions automation for unhealthy Couchbase nodes, sustaining 99.9% availability across 8 production clusters.
• Built Jenkins, AWS CDK, and DynamoDB automation pipelines to orchestrate infrastructure patching, rolling node replacements, cluster rebalancing, and production maintenance, reducing manual operational effort by ~70%.
• Automated production maintenance workflows, including DNS/SRV updates, load balancer changes, cluster validation, and post-patch verification, improving deployment consistency and operational reliability.
• Designed and executed blue-green deployments, rolling upgrades, and zero-downtime migration strategies for stateful distributed systems, minimizing production risk during infrastructure upgrades.
• Led cross-account platform migration using AWS VPC Lattice, Route 53, split-horizon DNS, and alternate addressing, enabling seamless migration without customer-facing downtime.
• Modernized service discovery by replacing private IP dependencies with FQDN/SRV-based routing, improving resiliency and supporting 200+ dependent services and 300+ Jenkins jobs across AWS accounts.
• Reduced MTTR by 30% and alert noise by 50% across 12+ microservices by implementing SLO, SLI, SLA, error budget, and DORA metric tracking, Datadog dashboards, monitoring, alerting, and reliability reviews.
• Increased RabbitMQ throughput by 25% and reduced failover recovery time by 40% by migrating Classic queues to Quorum queues and tuning TTL, consumer concurrency, and high-availability settings.
• Eliminated manual secret rotation toil by replacing Keybase-encrypted Terraform workflows with External Secrets and AWS Secrets Manager for automated Kubernetes secret synchronization.
• Improved platform resilience and traffic control by designing API Gateway and AWS Lambda authorizer-based rate limiting for high-load services and noisy-neighbour isolation.
• Accelerated secure Infrastructure as Code delivery by scaling Atlantis-backed Terraform pipelines with policy checks, RBAC, environment isolation, GitOps workflows, and Terraform Cloud integration.
• Cut deployment lead time from 4 hours to 90 minutes by migrating CI/CD workflows from Jenkins to GitHub Actions, improving deployment consistency and rollback reliability.
• Built AI-assisted automation workflows and MCP integrations to extend internal platform capabilities, enabling intelligent automation across cross-functional tooling and reducing repetitive operational overhead.
• Investigated complex distributed systems failures during cluster rebalance and degraded-state scenarios, performing root cause analysis (RCA) and improving platform resilience through graceful degradation enhancements.
• Strengthened platform security by driving secure AMI adoption, improving SSL/TLS compliance, and evaluating IAM-based authentication and runtime secret management to reduce shared credential usage.
• Authored reusable operational runbooks, automation standards, and migration playbooks, improving incident response, operational excellence, and change management across engineering teams.
• Collaborated with cross-functional engineering teams to execute production changes, infrastructure migrations, and reliability initiatives while maintaining high availability and service stability.

Senior Software Engineer, DevOps at Credex Technology (2021-10 – 2022-11)

• Reduced deployment lead time by 60% by building standardized CI/CD pipelines with Jenkins, Octopus Deploy, and GitHub Actions for repeatable application releases.
• Reduced configuration drift by 75% by containerizing Java and PHP applications with Docker and Kubernetes, improving environment parity across development, staging, and production.
• Improved disaster recovery time by 90% by provisioning repeatable AWS infrastructure with Terraform, CloudFormation, and Infrastructure as Code practices.
• Improved messaging reliability by managing RabbitMQ clusters on Linux with high-availability queues, Prometheus exporters, monitoring, and real-time alerting.
• Accelerated performance analysis by automating Python and PowerShell test workflows and publishing results through Elasticsearch and Kibana dashboards.

Software Engineer at TensorIoT (2019-09 – 2021-09)

• Reduced IoT platform operating costs by 40% by developing serverless data pipelines with AWS IoT Core, AWS Lambda, API Gateway, and Chalice.
• Improved infrastructure maintainability by migrating SkyBell Doorbell AWS environments from CloudFormation to Terraform across multi-account deployments, reducing configuration drift.
• Achieved 99.8% firmware update success by implementing secure over-the-air delivery with AWS Greengrass for connected IoT devices.
• Enabled real-time IoT reporting by delivering 200+ Amazon QuickSight dashboards for operational analytics and stakeholder visibility.

Bachelor of Technology in Mechanical Engineering – Amity University (2019)