anshul142000
Dev Ops Enginner
DevOps and Cloud Engineer with 3+ years of hands-on experience designing, deploying, and operating production infrastructure for fast-moving startups and AI-focused teams. I have worked as a solo DevOps engineer supporting 40+ developers, taking ownership of cloud architecture, Kubernetes platforms, CI/CD pipelines, infrastructure automation, monitoring, security, and production troubleshooting.
My core expertise includes AWS, Kubernetes, Docker, Terraform, GitHub Actions, Argo CD, GitOps, Python, Bash, PostgreSQL, and ELK Stack. I have designed and managed AWS environments using services such as EKS, EC2, RDS, S3, ECR, Lambda, VPC, Route 53, ACM, CloudWatch, EFS, Secrets Manager, and AWS Backup. I have also worked with DigitalOcean and have experience planning and executing cloud migrations.
In my previous roles, I have:
- Designed and deployed complete AWS architectures on EKS using Terraform
- Built GitOps-based CI/CD pipelines with GitHub Actions and Argo CD
- Managed production Kubernetes environments supporting multiple applications and development teams
- Implemented secure networking between EKS, RDS, EC2, and other AWS services
- Configured autoscaling, persistent storage, backups, TLS certificates, DNS, and private connectivity
- Built self-service deployment systems for AI and backend applications
- Improved deployment speed and reduced cloud and CI costs
- Implemented centralized logging and monitoring using ELK Stack and CloudWatch
- Troubleshot infrastructure, networking, deployment, database, and application-level issues
- Worked closely with developers to improve reliability, release processes, and operational efficiency
Alongside my DevOps work, I build infrastructure and developer tools. I created AtomicCD, an open-source Kubernetes-native GitOps continuous delivery tool written in Go. I have also built Kube-Assist, an AI agent for Kubernetes operations, and multi-agent systems using Python, FastAPI, and pydantic-ai. These projects have strengthened my understanding of Kubernetes automation, API design, cloud-native systems, observability, security, and practical AI engineering.
I am currently looking for a DevOps Engineer, Cloud Engineer, Platform Engineer, or Infrastructure Engineer position where I can work within a high-ownership engineering team. I am particularly interested in roles involving AWS, Kubernetes, Terraform, Docker, CI/CD, GitOps, platform automation, and production infrastructure. I prefer opportunities that value practical engineering ability, ownership, automation, and continuous improvement, especially in startup or product-focused environments.
I am available to join immediately and am open to remote or suitable Hyderabad-based opportunities.
Experience: 3 years
Yearly salary: $34,000
Hourly rate: $50
Nationality: 🇮🇳 India
Residency: 🇮🇳 India
Experience
DevOps Enginner
TheAgentic 2025 - 2026
Solo Infrastructure Ownership: Served as the sole DevOps Engineer supporting a team of 40+ developers across multiple client projects, taking full responsibility for uptime, security, and scalability. Major Cloud Migration: Executed a full-scale migration of all production infrastructure (Databases, Kubernetes, Registries) from AWS to DigitalOcean, achieving a 50% reduction in monthly cloud costs with minimal downtime. Cloud Consulting: Acted as a technical consultant for 5+ clients, designing and deploying custom, production-ready AWS architectures tailored to specific business needs. Standardized CI/CD: Architected and managed CI/CD pipelines on EKS using private ECR registries, standardizing the build and release workflows across the organization. Observability & Logging: Deployed a searchable ELK (Elasticsearch, Logstash, Kibana) stack on EKS, utilizing a Logstash DaemonSet-to-aggregator pipeline to provide developers with real-time failure logs.
DevOps Engineer
ScalegenAI 2024 - 2024
Internal Developer Platform: Developed a self-serve infrastructure portal enabling one-click EKS deployments for complex AI stacks (pgvector, Qdrant, Langflow, Flowise) and internal applications. Production Traffic Management: Managed the company's production domain and traffic routing via Route 53 DNS and ACM TLS certificates integrated with Application Load Balancers (ALBs). Cloud Security & Networking: Administered VPC networking (subnets, ingress/egress rules) and maintained RDS databases, ensuring secure private connectivity between EC2/EKS clusters and backend services. CI Optimization: Significantly reduced CI/CD costs and pipeline latency by migrating large GitHub Actions builds to self-hosted AWS runners utilizing Docker-in-Docker (DinD) isolation. Credential Management: Centralized and secured all application secrets and infrastructure credentials using AWS Secrets Manager.
DevOps Enginner
wisecody 2023 - 2024
End-to-End Infrastructure Design: Architected and deployed the startup’s entire AWS infrastructure on EKS from scratch, ensuring high availability and scalability for all production workloads. 100% Infrastructure as Code (IaC): Codified the entire cloud stack using Terraform, ensuring 100% reproducibility across environments and eliminating manual configuration drift. GitOps Implementation: Established a modern GitOps-driven CI/CD workflow using GitHub Actions and Argo CD, enabling fully automated, "commit-to-cluster" deployments with robust rollback capabilities. Storage & Persistence: Provisioned dynamic persistent storage using EFS CSI drivers and Kubernetes StorageClasses, and implemented automated backup routines for RDS PostgreSQL and EFS-backed volumes. Cluster Optimization: Configured AWS Cluster Autoscaler for dynamic resource management and established secure, private networking between EKS nodes and RDS backend databases.
junior DevOps Enginner
varency 2023 - 2023
90% Reduction in Deployment Time: Slashed production deployment cycles from 10 minutes to under 60 seconds by implementing a "baked AMI" strategy for EC2 fleets. Infrastructure Monitoring: Established centralized logging and monitoring for EC2 fleets using AWS CloudWatch, creating proactive alerts and dashboards to improve system visibility. Scalability & Fleet Management: Configured and tuned AWS Auto Scaling Groups (ASG) to handle fluctuating traffic loads, ensuring high availability while optimizing for cost. Operational Security: Managed IAM roles, security groups, and VPC configurations to ensure secure communication across the EC2 infrastructure.
Skills
aws
cloud-engineer
devops
docker
golang
kubernetes
python
english