Karthik Kumar Reddy

SRE (Site Reliability Engineer)

Bengaluru, Karnataka, India5 yrs 8 mos experience

Highly Stable

Key Highlights

Automated deployment pipelines reducing release time by 40%
Built scalable AWS architectures with 99.99% uptime
Maintained a Python package for workload management

Stackforce AI infers this person is a DevOps Engineer specializing in SRE and cloud-native infrastructure.

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Skills

Core Skills

AwsSite Reliability EngineeringTerraformContinuous Integration And Continuous DeliveryMonitoringSoftware Infrastructure

Other Skills

JenkinsKubernetesArgoCDApache KafkaLinux ServerPythonGitHub ActionsPrometheusGrafanaELKPython (Programming Language)nodeJSMulesoftDatabase Management System (DBMS)SonarQube

About

DevOps Engineer implementing Site Reliability Engineering (SRE) principles to build and maintain highly available, reliable, and scalable infrastructure. Focused on automating operations, improving observability, and ensuring system resilience across cloud-native environments. - Cloud & Infrastructure: AWS (EC2, S3, Lambda, CloudFront, EKS, VPC), Docker, Kubernetes - Automation & CI/CD: Jenkins, GitLab CI, Terraform, Ansible - Programming: Node.js, Python, Bash, Angular - Monitoring & Reliability: Prometheus, Grafana, ELK - Databases: PostgreSQL, MySQL, MongoDB - Streaming & Messaging Systems: Kafka, Amazon Kinesis, SQS, SNS 💡 Highlights: - Automated deployment pipelines reducing release time by 40% - Built scalable AWS architectures with 99.99% uptime - Maintained and enhanced a Python package used for managing and automating workloads, improving operational efficiency and reducing manual intervention

Experience

5 yrs 8 mos

Total Experience

5 yrs 5 mos

Average Tenure

3 mos

Current Experience

Myntra

Senior Site Reliability Engineer

Feb 2026 – Present · 3 mos · bengalure · Hybrid

Airbus

2 roles

Site reliability engineer 2

Promoted

Apr 2023 – Feb 2026 · 2 yrs 10 mos · Hybrid

Maintaining an enterprise-scale API and DevOps platforms on AWS EKS (2000+ pods) ensuring 99.999% uptime and compliance with SRE standards.
Managing Python automation tools and internal packages for workload management and environment orchestration.
Implemented infrastructure as code (IaC) using Terraform to standardize deployments and reduce manual provisioning by 40%.
Built and optimized CI/CD pipelines (Jenkins, GitHub Actions), cutting deployment cycles from hours to minutes.
Automated monitoring and alerting systems (Prometheus, Grafana, ELK) improving incident response and reducing MTTR by 35%.
Enforced DevSecOps practices (image scanning, compliance, secret management) across the SDLC.
Collaborated with development teams to improve code reliability and platform performance, ensuring release stability and scalability.

AWSJenkinsKubernetesTerraformSoftware InfrastructureArgoCD+3

Site reliability engineer 1

Aug 2020 – Mar 2023 · 2 yrs 7 mos · Hybrid

Developed and supported distributed microservices using Node.js, Angular, and AWS services.
Refactored cloud architecture with custom AMIs and Infrastructure as Code, improving provisioning time by 50%.
Designed and implemented CI/CD pipelines integrating SonarQube, Checkmarx, and Jenkins.
Improved web application performance by 40% through performance profiling and optimization.
Set up monitoring and alerting with CloudWatch and Prometheus for proactive reliability
Migrated MuleSoft APIs from Mule 3 to Mule 4, enhancing performance & maintainability.
Improved application performance by 40% with archiving strategy.

Software InfrastructurePython (Programming Language)nodeJSMulesoftAWSTerraform+1

Datagrokr

SDE Intern

Jan 2020 – Jul 2020 · 6 mos · bangalore

Developed microservices and deployed on AWS EKS using Docker and Kubernetes.
Configured autoscaling, API Gateway, and Load Balancers for cloud environments.
Built secure and scalable AWS environments (EC2, Lambda, ECR, Auto Scaling).

PythonAWSKubernetes

Tequed labs

Machine Learning Intern

Jul 2019 – Sep 2019 · 2 mos · Bangalore

Siemens healthineers

Innovation Management and Leadership Certification programs (IMLEAP)

Jul 2019 – Jul 2019 · 0 mo · Bangalore

Bolt iot inventrom private limited

student partner internship

Jun 2019 – Aug 2019 · 2 mos · bangalore

It was wonderful experience taking part as a Student Partner Internship at Inventrom Private Limited. During this internship, the tasks undertaken by me was related to popularising the concepts of Internet of Things(IoT) and Machine Learning(ML), brand awareness and business development of the Bolt IoT and ML online video training.