R

Rohit Sahu

DevOps Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience

Key Highlights

  • Expert in automating large-scale cloud deployments.
  • Passionate about enhancing system reliability and observability.
  • Innovator behind K-Reflex for improved system insights.
Stackforce AI infers this person is a Cloud Infrastructure Engineer with a strong focus on Site Reliability Engineering in SaaS environments.

Contact

LinkedIn

Skills

Core Skills

Cloud EngineeringSite Reliability EngineeringInfrastructure As CodeAutomation

Other Skills

AWSGCPGoogle Cloud Platform (GCP)Cloud MigrationMonitoring & ObservabilitySoftware DeploymentAmazon Web Services (AWS)PythonShellTerraformKubernetesTime ManagementData StructuresGo (Programming Language)Linux

About

Experienced and results-driven DevOps / Site Reliability Engineer with 5 years of hands-on expertise in automating and optimizing critical deployments across large-scale infrastructures. Expert in leveraging DevOps principles and Infrastructure as Code (IaC) to design scalable solutions that streamline operations and deliver efficient solutions. Passionate about configuring one-click solutions to drive scalability and enhance productivity. With a strong commitment and proven track record in migrating services to cloud platforms to operational excellence, I continuously strive to enhance system reliability and drive efficiency. I work in the intersection of SRE, DevOps, and distributed systems, focusing on reliability, observability, and deep system behavior. My interest goes beyond dashboards and alerts — I care about the signals systems emit before they fail, and how we can surface what usually stays invisible. Over the years, I’ve worked on production-scale infrastructure where debugging isn’t about logs alone — it’s about understanding system reflexes, performance boundaries, and behavior under stress. That curiosity led me to build K-Reflex. K-Reflex is a project born out of real-world frustration: invisible metrics, delayed signals, and limited insight into what systems are actually doing. It’s an ongoing attempt to rethink observability — drawing inspiration from eBPF, low-level telemetry, and distributed tracing — and turn raw signals into meaningful insight. Beyond tools and tech, I strongly believe in: • Discipline over motivation • Systems thinking over quick fixes • Building before talking • Sharing knowledge openly I’m actively interested in: • Observability & eBPF • Distributed systems & tracing • Platform reliability at scale • Automation, infra design, and system internals Check out: https://kreflex.rohitsahu.me KeyWords: Multi Cloud | Linux | Terraform | Kubernetes | Python | Golang | Senior Site Reliability Engineer | SRE | Senior DevOps

Experience

5 yrs 5 mos
Total Experience
2 yrs 2 mos
Average Tenure
1 yr 3 mos
Current Experience

Sprinklr

Senior Cloud Engineer

Mar 2025 – Present · 1 yr 3 mos · Hybrid

AWSGCPCloud Engineering

Meesho

SDE II - Infrastructure [ SRE + DevOps + Dev Productivity ]

Oct 2023 – May 2025 · 1 yr 7 mos · Bengaluru, India · Hybrid

  • Reliability & Incident Management
  • Troubleshoot and resolve production infrastructure incidents, lead in-depth root-cause analyses, and develop automated remediation playbooks—improving system uptime and response times.
  • Infrastructure as Code & GitOps
• Designed and maintained Terraform-based, multi-cluster deployments on cloud platforms, integrating GitOps practices to streamline rollouts and enforce configuration consistency.
  • CI/CD & Automation
  • Developed and enhanced CI/CD pipelines using industry-standard tools, automating and reducing manual effort across teams.
  • Cloud Migration & Cost Efficiency
  • Contributed on a large-scale migration of core services (6+ internal service with ownership ) between public clouds(AWS-> GCP) , collaborating on automation strategies that boosted performance and brought down operational overhead.
  • Monitoring, Logging & Alerting
  • Built and refined centralized observability solutions—dashboards, alerting rules, and logging patterns—that enable proactive issue detection and faster troubleshooting.
  • Internal Tooling & Developer Enablement
  • Created internal SRE/DevOps tooling (APIs, dashboards, secret-management, RCA workflows, Alerting) to surface reliability metrics, automate routine diagnostics, and empower engineering teams with self-service capabilities.
Cross-Functional
  • Collaboration & Mentorship
  • Mentored interns and SDEs while collaborating with architecture, security, and product teams to establish robust infrastructure standards, bolster system resilience against critical failures, and drive post-incident reviews and knowledge-sharing guilds.
Google Cloud Platform (GCP)AWSSite Reliability EngineeringInfrastructure as Code

Chegg inc.

Subject Matter Expert

Feb 2021 – Nov 2021 · 9 mos

  • Provided comprehensive solutions to diverse computer science questions posed by students, with a specialization in coding, mathematics, and related areas.
Time ManagementData Structures

Innovaccer

Site Reliability Engineer

Jan 2021 – Oct 2023 · 2 yrs 9 mos · Noida, Uttar Pradesh, India

  • Responsible for researching and implementing new DevOps practice Automation ways.
  • Resolving service, access, and incident Jira issues as an SRE, minimizing downtime.
  • Troubleshooting day-to-day production issues to ensure uninterrupted operations.
  • Developing automation scripts for improving efficiency and productivity. (Python, Shell)
  • Contributing to achieving SRE reliability OKRs for improving system stability.
  • DBRE Team
  • Assisted with a robust lambda script for SNS alert on upsize/downsize events for RDS instances.
  • Collaborated on a python-boto3 script to upgrade 100+ RDS instances to Graviton, reducing costs.
  • ESCROW
  • Reconfigured one-click pipeline with Terraform, Helm, Kubernetes, and ArgoCD.
  • Automated secret bootstrapping and vault credential management.
  • Developed script for exporting/importing vault credentials via AWS S3.
Software DeploymentAmazon Web Services (AWS)Site Reliability Engineering

Cetpa infotech pvt. ltd.

AWS Intern

Jun 2020 – Nov 2020 · 5 mos · Noida, Uttar Pradesh, India

  • Collaborated on diverse AWS services, developed scalable architectures with VPC and Auto Scaling, and deployed applications using Elastic Beanstalk and Docker.
  • Gained hands-on experience in monitoring and optimizing AWS resources with CloudWatch and CloudTrail.
Amazon Web Services (AWS)AutomationCloud Engineering

Education

Shri Ram Murti Smarak (SRMS) Institutions

B.tech — Computer Science

Jan 2017 – Jan 2021

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