Headline

DevOps |MLOps & AI Infrastructure Engineer| CI/CD| GitOPs|AWS| GCP|Kubernetes | Terraform | Ansible | Python | Go |Linux HPC | Docker | GitHub Actions| Python|Go|Bash| DevSecOps | IaC | Cloud Security

About

AWS Certified DevOps Engineer – Professional | SRE | AI Infrastructure & Platform Engineer I design and operate secure, scalable cloud and on-prem infrastructure powering AI, analytics, and high-throughput systems. With hands-on experience across AWS, GCP, and Azure, I specialize in Kubernetes platform engineering, multi-cloud automation, GPU-based AI workloads, and DevSecOps-driven reliability. 🚀 What I Build 🔹 Cloud & Multi-Cloud Platforms Architected infrastructure across AWS, GCP, and Azure using Terraform, Ansible, and GitOps workflows. 🔹 On-Prem Kubernetes from Scratch Designed and deployed production-grade Kubernetes clusters for enterprise clients — including networking, storage, security hardening, and observability layers. 🔹 AI / GPU Infrastructure & Vision Systems Deployed NVIDIA DeepStream pipelines for camera-based AI vision workloads Managed GPU compute clusters for LLM and analytics deployments Optimized resource allocation, queueing, and inference workloads Designed hardware-aware Kubernetes scheduling for GPU nodes 🔹 Data & Analytics Automation Built end-to-end GCP workflows (GCS → Cloud Functions → BigQuery) reducing manual operations by 70%. 🔹 DevSecOps & Observability Implemented production monitoring stacks using Prometheus, Grafana, ELK, Istio, Vault, Trivy, and SonarQube with SRE-aligned reliability practices. 🔹 Client-Facing Platform Engineer Worked directly with enterprise clients to design, deploy, and secure infrastructure solutions — translating business requirements into production systems. 🛠️ Core Stack Cloud & IaC: AWS | GCP | Azure | Terraform | Ansible | Kubernetes | OpenShift CI/CD & GitOps: Jenkins | GitHub Actions | GitLab CI | ArgoCD | Tekton | Helm Monitoring & Security: Prometheus | Grafana | ELK | Vault | Istio | Trivy Programming: Python | Go | Bash Systems: Linux (RHEL/Debian) | Networking | Firewalls 🏆 Impact ✔ Built reusable multi-cloud Terraform modules ✔ Reduced operational overhead by 70% through automation ✔ Delivered production AI infrastructure for GPU workloads ✔ Designed secure, observable Kubernetes platforms from ground up ✔ Enabled scalable vision analytics deployments for camera networks 📘 Currently Exploring AI-driven DevOps, Rust for systems automation, and advanced DevSecOps patterns for AI workloads. I thrive at the intersection of automation, reliability, and AI infrastructure — building platforms that make complex systems scalable, secure, and production-ready.

Location

Bengaluru

AI stack

langchain

langfuse

langgraph

langsmith

notion

claudecode

Work experience

DevOps Engineer at Industry.AI, Jul 2025 - Present · 1 yr 3 mos, Bengaluru, DevOps Engineer As a DevOps Engineer , I am gaining hands-on experience in cloud infrastructure automation, CI/CD pipeline development, and serverless solutions. My role focuses on designing, deploying, and maintaining scalable infrastructure and automation workflows using modern DevOps practices. Key Responsibilities & Contributions: ⚡ Infrastructure as Code (IaC): Provisioning and managing GCP infrastructure using Terraform and reusable modules. 🔐 Jenkins Pipeline Automation: Developing and optimizing CI/CD pipelines with authentication/authorization, automating deployments across environments. 🖥️ Linux System Administration: Managing servers, users, permissions, and automating administrative tasks with Bash scripting. 🛠️ Configuration Management: Automating application and infrastructure setup using Ansible. ☁️ Serverless Solutions: Building and deploying Cloud Functions for event-driven automation and integrating with BigQuery pipelines for data workflows. 🔄 Monitoring & Reliability: Supporting SRE practices, implementing logging/monitoring, and ensuring secure and reliable deployments. 📜 Scripting & Automation: Writing Python and Bash scripts to streamline operations, pipeline automation, and repetitive tasks. 🔑 IAM & Security: Managing GCP IAM roles, policies, and permissions following the principle of least privilege. Tech Stack: Terraform · Ansible · Jenkins · GCP (Cloud Functions, BigQuery, IAM, Cloud Build) · Linux · Docker · Bash · Python · GitOps · SRE Practices

DevOps Consultant at Self Employed, Apr 2023 - Aug 2025 · 2 yrs 5 mos, Chennai, Tamil Nadu, India, DevOps Engineer | Cloud Automation | SRE | Kubernetes & CI/CD Expert Freelance DevOps Engineer with 6+ years in Linux systems and 4+ years in automation, CI/CD, and cloud-native solutions. Transitioned from a strong mechanical engineering R&D background, combining analytical problem-solving with expertise in infrastructure automation, scalable architecture, and security-hardening to deliver resilient, cost-optimized environments for global clients. Core Skills: Terraform, Ansible, Helm, GitOps (ArgoCD), Jenkins, GitHub Actions, Go, Python (FastAPI), Bash, JavaScript, AWS, GCP, Azure, Docker, Kubernetes, Istio, PostgreSQL, MongoDB, Prometheus, ELK Stack, Grafana, Vault, SonarQube, Firewalld, UFW, Agile, SDLC. Key Achievements: ✔ Automated workflows, reducing manual intervention by 40% and deployment time by 50% using GitOps, Jenkins, and GitHub Actions. ✔ Optimized multi-cloud infrastructure, cutting costs by 25%+ via Terraform automation and performance tuning. ✔ Deployed observability frameworks (Prometheus, Grafana, ELK) for real-time monitoring and improved system reliability. ✔ Delivered large-scale microservices deployments using Kubernetes, Istio, and Helm, integrating Vault for security and SonarQube for quality control. What I Offer: End-to-end DevOps consulting – cloud migration, cost optimization, automation strategy CI/CD pipeline design with GitOps, Jenkins, GitHub Actions Infrastructure as Code using Terraform, Ansible for AWS, GCP, and Azure SRE practices – monitoring, alerting, and system hardening Kubernetes orchestration with Istio, Helm, and service mesh strategies

Co-Founder at Exaltis Enterprises LLP, Mar 2023 - Dec 2024 · 1 yr 10 mos, Kochi, Kerala, India, Founded and managed operations of Exaltis Enterprises LLP, overseeing strategic planning, business development, and execution in the real estate sector.

Research and Development Scientist | Data Analysis | Optimization at Daejoo Machinery [FMTRC], Jul 2021 - Feb 2023 · 1 yr 8 mos, Daegu, South Korea, Research and Development Engineer – Mechanical Engineering Led CFD simulations and performance optimization for complex turbomachinery systems, leveraging high-performance computing environments (Linux & Windows Server). Developed and maintained automation scripts for batch simulation processes using Python (NumPy, Matplotlib), significantly reducing manual effort and increasing operational efficiency. Programmed in C and utilized data-driven analysis to extract insights, enabling informed engineering and business decisions. Implemented data visualization dashboards for real-time analysis, improving reporting and decision-making speed. Collaborated with cross-functional teams and actively participated in business and technical meetings with R&D support companies, ensuring seamless integration of solutions and alignment with organizational goals. Applied version control (Git) and process automation principles, laying a strong foundation for DevOps practices. Key Skills: Python, C, Linux, Windows Server, HPC, CFD, Automation, Data Analysis, NumPy, Matplotlib, Git, Process Optimization, Collaboration.

Robotics Design Engineer (Mechanical) at EyeROV (IROV TECHNOLOGIES PRIVATE LIMITED), Dec 2020 - Apr 2021 · 5 mos, Kochi, Kerala, India, Mechanical Design & CFD Engineer – Underwater Robotics Designed and analyzed underwater ROV components using CFD/CAD to improve hydrodynamic effi- ciency. Automated simulation workflows with Python on Linux, enhancing productivity and accuracy. Performed fluid flow and structural analysis to ensure stability, efficiency, and durability in challenging underwater environments. Developed data analysis workflows and automation scripts for simulation tasks, improving productivity and reducing turnaround time. Worked with Linux-based environments and Python scripting for simulation automation and results visualization. Collaborated with cross-functional teams, contributing to design reviews, technical discussions, and feasibility studies for new ROV components. Delivered technical documentation and reports to support engineering decisions and client requirements. Key Skills: CFD, CAD, Python, Linux, Automation, Data Analysis, Hydrodynamics, Simulation Optimization.

Education

Master's degree, Propulsion Engineering, College of Engineering Trivandrum

Bachelor of Technology - BTech, Mechanical Engineering, College of Engineering Trivandrum

Public links

github: https://github.com/manupanand

medium: https://medium.com/@manupanand