Manjunath Kotegar

DevOps Engineer

Bengaluru, Karnataka, India8 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7.5+ years in cloud-native infrastructure development.
Expert in Kubernetes, Terraform, and multi-cloud environments.
Proven track record in optimizing cloud costs and system reliability.

Stackforce AI infers this person is a Senior DevOps Engineer specializing in SaaS and multi-cloud infrastructure.

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Skills

Core Skills

Multicloud(aws, Azure, Gcp)DevopsAmazon Web Services (aws)Cloud ComputingLinux System Administration

Other Skills

Azure OpenAILangGraphAutogenDockerKubernetesGrafanaPrometheusFluentdDatabricksJenkinsGitSonarQubeNexusTomcatTerraform

About

I’m a Senior DevOps Engineer with 7.5+ years of experience building scalable, secure, and intelligent cloud-native infrastructure across Azure, AWS, and GCP. From architecting multi-cloud deployments and setting up Kubernetes clusters, to building CI/CD pipelines with Jenkins, Terraform, and GitHub Actions — I bridge infrastructure with automation at scale. I've also led the development of agentic AI applications using Azure OpenAI, Autogen, LangGraph, and Chainlit. 🔹 Proven track record of optimizing cloud costs, enhancing system reliability, and leading cloud migrations 🔹 Expertise in Kubernetes, Terraform, Docker, Prometheus, Grafana, New Relic, and Python scripting 🔹 Certifications in GCP ACE, Kubernetes (CKA), Terraform, and Backend Development (Scaler) 🔹 Awarded Rockstar, Bravo & EOTM for project ownership and delivery 🚀 Currently exploring Staff+ DevOps / SRE / Platform roles in high-impact, product-driven companies.

Experience

8 yrs 2 mos

Total Experience

1 yr 11 mos

Average Tenure

6 mos

Current Experience

Dataart

Senior DevOps Engineer

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India · Remote

Bosch

Senior DevOps Engineer

Jul 2023 – Nov 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

⚙️ Accelerated development of an AI-powered travel planning platform, reducing planning time by 70% through integration of Azure OpenAI, LangGraph, and Autogen, deployed seamlessly with Docker on Azure App Service
📦 Reduced infrastructure setup time by 60% by building a scalable Kubernetes microservices architecture (AKS) with Grafana, Prometheus, and Fluentd
🧠 Improved ML model deployment cost-efficiency by 30% through benchmarking BERT-based sentiment analysis on both Kubernetes and Databricks environments
📉 Achieved 99.99% uptime across multi-cloud environments (AWS, Azure, GCP) by implementing centralized observability using Grafana Cloud, Loki, Promtail, New Relic, and CloudWatch
🔒 Boosted application security posture by 40% through WAF implementation, mitigating potential web and mobile threats
🔄 Enabled serverless automation using AWS Lambda and DynamoDB for Python REST APIs, reducing manual maintenance by 80%

Multicloud(AWS, Azure, GCP)DevOps

Jobsforher

DevOps Engineer

May 2021 – Jul 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

🚀 Cut release cycle time by 50% by designing and automating CI/CD pipelines for backend/frontend apps with Jenkins, Git, SonarQube, Nexus, and Tomcat
🏗️ Reduced infrastructure provisioning time by 70% by automating AWS services (EC2, RDS, VPC, CloudFront, WAF) using Terraform and Python
🔁 Eliminated 95% of manual ops tasks with custom Bash/Python scripts using watchdog, psutil, and croniter, enabling real-time system monitoring
🧪 Improved system reliability and reduced MTTR by 40% via proactive alerting using NewRelic, CloudWatch, and UptimeRobot
📊 Enhanced cost visibility and resource optimization through tagging, IAM policy restructuring, and usage-based alerts across environments

Amazon Web Services (AWS)DevOps

Fetch't

DevOps Engineer

Jun 2020 – May 2021 · 11 mos · Bangalore · On-site

🏗️ Launched a highly available cloud-native app infrastructure on AWS, improving deployment scalability by 50% and supporting 10K+ users/month
🔄 Improved team release efficiency by 30% by building weekly CI/CD pipelines and optimizing version control practices across teams
📋 Reduced cross-functional blockers by 80% through streamlined Jira workflows and onboarding documentation for DevOps best practices
📡 Improved system uptime to 99.9% by implementing CloudWatch-based monitoring and autoscaling policies
🧩 Accelerated provisioning speed by 3x through reusable Ansible playbooks for EC2, RDS, and VPC configurations

DevOpsCloud Computing

Wipro limited

DevOps Engineer

Mar 2018 – Jun 2020 · 2 yrs 3 mos · Bengaluru

📈 Reduced cloud infrastructure costs by 25% via fine-tuned auto-scaling policies and load balancer optimization for internal applications
🔐 Improved access control and auditability by redesigning IAM roles, policies, and identity segregation across development teams
⏱️ Automated recurring system maintenance tasks using crontab, reducing manual intervention by 90%
💻 Contributed to early-stage cloud transformation initiatives, helping transition legacy systems to AWS with customized VPCs and monitoring hooks

DevOpsLinux System Administration