Shreyans Poddar

DevOps Engineer

India3 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Expert in building enterprise AI platforms from scratch.
Proficient in managing AWS infrastructure and Kubernetes.
Strong background in CI/CD modernization and observability.

Stackforce AI infers this person is a DevOps Engineer specializing in SaaS infrastructure and AI project management.

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Skills

Core Skills

DevopsAws

Other Skills

AIOpsAWS SageMakerAgenticAIAirflowAmazon BedrockAmazon EC2Amazon ECSAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Android StudioAnsibleArgillaArgoCDArize AI

About

I’m a passionate DevOps Engineer with 3 years of experience in automating, scaling, and streamlining infrastructure for seamless operations. My expertise spans cloud platforms like AWS, Kubernetes-based container orchestration, CI/CD pipelines, and observability tools like Grafana and OpenSearch.I thrive on building efficient, secure, and reliable systems that foster innovation. From managing infrastructure as code using Terraform to upgrading core components, I bring a track record of delivering resilient solutions.Currently, I support cutting-edge AI projects, handling complete DevOps cycles—infra upgrades, access controls, Kubernetes management, and GitOps automation.Here’s what I bring to the table:Strong skills in Linux, Docker, Kubernetes, and AWS services like EC2, EKS, S3, and Route 53.Experience with monitoring and logging using Prometheus, Fluent Bit, and OpenSearch.Proficiency in tools like GitLab, Jenkins, and Helm for efficient, scalable deployments.A knack for problem-solving and collaborating with cross-functional teams.When I’m not refining infrastructure, I’m diving into new AI trends or exploring new places. Always open to learning and growing in this dynamic tech landscape.Feel free to connect—let’s explore how we can innovate together!

Experience

3 yrs 1 mo

Total Experience

3 yrs 1 mo

Average Tenure

3 yrs 1 mo

Current Experience

Deutsche telekom digital labs

DevOps Engineer

May 2023 – Present · 3 yrs 1 mo · Gurugram · Hybrid

Building and operating the organization’s first enterprise AI platform from scratch, owning the complete DevOps and platform lifecycle
Designing and managing shared AWS infrastructure supporting 200+ developers and handling ~1M+ production requests
Provisioning and maintaining infrastructure using Terraform (Infrastructure as Code) for consistency, scalability, and reliability
CI/CD modernization, migrating from Jenkins to GitLab CI/CD and ArgoCD, and adopting GitOps practices
Working extensively with Kubernetes (Amazon EKS), managing cluster lifecycle, upgrades, and platform stability
Executing OpenSearch upgrades using a blue-green deployment strategy and managing Amazon EKS upgrades through rolling and phased approaches
Designing and evolving Kubernetes autoscaling, moving from Cluster Autoscaler to Karpenter with custom NodePools and NodeClasses
Building centralized logging and monitoring using Fluent Bit, OpenSearch, Prometheus, and Grafana, and optimizing pipelines to reduce resource usage
Managing multiple OpenSearch clusters with SAML-based authentication and implementing proactive alerting for production issues
Implementing Dynatrace SaaS observability and leading Sentry upgrades to improve visibility and incident response
Deploying and maintaining AI/ML observability tools such as Argilla, Langfuse, and Arize platforms
Participating in production incident response, root cause analysis, and ongoing platform reliability improvements

TerraformAWSKubernetesOpenSearchPrometheusGrafana+4

To the new

DevOps Engineer

Oct 2022 – Dec 2022 · 2 mos · Noida, Uttar Pradesh, India

Experience with terraform, docker, Jenkins, Kubernetes in AWS cloud platform.
Developed terraform modules to provision 3-tier architecture in AWS.
Developed terraform modules to add WAF and associated rules to the applications.
Added a bastion host to access ec2 servers in private subnets.
Enabled observability by enabling monitoring through Prometheus & Grafana.
Developed terraform code to provision instances using ECS and Fargate and deployed
dockerized applications.

TerraformDockerJenkinsKubernetesPrometheusGrafana+2