R

Rajesh G

DevOps Engineer

Bengaluru, Karnataka, India11 yrs 2 mos experience
Highly Stable

Key Highlights

  • Architected scalable DevOps stack for data security platform.
  • Reduced cloud costs by $200K through innovative frameworks.
  • Achieved 100% engineering adoption of automation tools.
Stackforce AI infers this person is a Cloud Infrastructure and DevOps expert specializing in SaaS solutions.

Contact

LinkedIn

Skills

Core Skills

Cloud Infrastructure ArchitectureCi/cd AutomationKubernetes And Container Orchestration

Other Skills

PythonCI/CDCost attribution frameworksCloud governanceAWSKubernetesEKSKafkaElasticsearchAnsibleJenkinsELK StackVBASAP BusinessObjectsData Analysis

About

I’m a DevOps and Cloud Infrastructure Engineer focused on building scalable, reliable platforms for distributed systems. My work centers on designing cloud-native infrastructure, automating workflows, and improving observability and reliability across complex engineering environments. At Concentric AI, I architected and built the company’s DevOps and Cloud Infrastructure stack from the ground up to support a large-scale data security platform on AWS and Kubernetes. This included scaling EKS clusters to 20K+ pods and enabling high-throughput data pipelines processing ~100TB of data and 10B Kafka messages daily. I significantly improved engineering velocity by developing a configuration-driven Python orchestration engine for 60+ microservices to automate dependency-aware build and deployment sequencing, reducing environment setup and service onboarding time by over 75% with an 100% engineering adoption. More recently at Anyscale, I focused on infrastructure efficiency and platform tooling, developing CI cost attribution frameworks and improving infrastructure governance to reduce cloud spending and improve engineering visibility into CI systems. My technical focus includes: • Cloud infrastructure architecture (AWS) • Kubernetes and container orchestration • CI/CD automation and developer productivity • Infrastructure-as-code (Terraform, Cloudformation) • Observability and distributed system monitoring • Platform reliability and cost optimization I enjoy solving complex problems and working with engineering teams to build reliable platforms that scale. I’m always interested in connecting with engineers and teams working on distributed systems, cloud infrastructure, and platform engineering challenges.

Experience

11 yrs 2 mos
Total Experience
1 yr 10 mos
Average Tenure
--
Current Experience

Anyscale

Software Engineer

Oct 2025 – Mar 2026 · 5 mos · Bengaluru · On-site

  • Reduced annual cloud costs by ~$200K, by Creating a Cost attribution frameworks, and Identifying Shadow Infrastructure.
  • Automated open-source governance in CI/CD using Python, enhancing license compliance and reducing supply chain risks.
  • Integrated Buildkite with Honeycomb tracing to improve CI debugging visibility and optimize pipeline performance.
PythonCI/CDCost attribution frameworksCloud governanceCloud infrastructure architectureCI/CD automation

Concentric ai

2 roles

Staff DevOps Engineer

Promoted

Apr 2022 – Sep 2025 · 3 yrs 5 mos

  • End-to-End Infrastructure Ownership: Architected and implemented the entire DevOps, SRE, and infrastructure stack from the ground up, evolving the platform from a startup phase to a massive-scale cloud environment.
  • Hyper-Scale Engineering: Built the foundation for AI-powered data discovery by designing an EKS platform capable of processing 100TB of data daily. Scaled selfhosted distributed systems, including Kafka and Elasticsearch, to handle 10B messages/day and Over 5M operations per minute respectively.
  • Efficiency at Scale: Delivered 50%+ AWS cost savings by leading a company-wide shift to Spot instances and fault-tolerant architectures; sustained 60%+ EKS cluster efficiency by implementing node right-sizing and strict resource request policies across 20 global clusters.
AWSKubernetesEKSKafkaElasticsearchCloud infrastructure architecture+1

Software Engineer

Nov 2019 – Apr 2022 · 2 yrs 5 mos

Pegasystems

Senior Software Engineer, Data and Analytics

Oct 2018 – Nov 2019 · 1 yr 1 mo · Greater Hyderabad Area · On-site

  • Led the integration of Infruid Labs’ Vizard BI platform with the Pega ecosystem, establishing a unified BI solution.
  • Collaborated with cross-functional teams, including Cloud Infrastructure and SRE, to ensure seamless integration.
  • Designed and implemented monitoring systems, enhancing operational excellence in the platform.

Infruid labs

Customer Success Engineer and DevOps Engineer

Nov 2017 – Oct 2018 · 11 mos · Greater Hyderabad Area · On-site

  • Optimized AWS infrastructure for Vizard Enterprise BI platform to ensure high availability and scalability while reducing costs.
  • Automated deployment processes using Ansible and Jenkins, enhancing operational efficiency.
  • Built and maintained an ELK Stack for centralized logging and monitoring across distributed systems.
AWSAnsibleJenkinsELK StackCloud infrastructure architecture

Mcs solutions (india)

Associate Software Developer

May 2015 – Nov 2017 · 2 yrs 6 mos · Hyderabad · On-site

  • Developed an automation tool using VBA scripting and SAP BO Designer SDK, reducing time requirements by 99%.
  • Implemented a Custom SSO Solution similar to Oauth2 for seamless integration across multiple applications.
  • Contributed to MCS Solutions' mission of enhancing operational efficiency and boosting revenue generation.
VBASAP BusinessObjects

Center for cellular and molecular biology(ccmb), hyderabad

Research Assistant

May 2012 – Jul 2012 · 2 mos · Hyderabad

  • Worked on:
  • Activity and Stability of 6B, a thermostable mutant of Bacillus Subtilis lipase in Polar
  • Name of the Guide : Dr. N. Madhusudhana Rao
  • Time Period : 9 weeks
  • Project Description: Lipases function in aqueous solutions but their substrates are nonpolar and
  • form emulsions in water. Hence there are several advantages of conducting lipase enzymatic
  • reactions in organic solvents. These include- high solubility of most organic compounds in nonaqueous media, ability to carry on new reactions which are unfavorable in water due to
  • thermodynamic restrictions. Also stability of enzymes can be greater and product recovery can
  • be relatively easier in organic solvents. Nevertheless, activity of the enzymes including lipases is
  • reduced in water-organic solvent mixture. The effect of organic solvents on enzyme activity
  • depends on their physiochemical properties like dielectric constant and logP value (logarithm of
  • the ratio of the concentrations of the unionized solute in the solvents).

Iit guwahati, biotechnology department

Reseach Group Member

May 2011 – Oct 2011 · 5 mos · Guwahati

Education

Indian Institute of Technology, Guwahati

B.Tech — Biotechnology

Jan 2009 – Jan 2014

Kendriya Vidyalaya

Physical Sciences

Jan 2007 – Jan 2009

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