Vinod Kumar Nair

CTO

New Delhi, Delhi, India17 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led AI-driven initiatives saving 2000+ hours annually.
Championed cloud cost optimization, reducing expenses by 30%.
Public speaker and recognized tech contributor in the community.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on cloud-native architecture and AI solutions.

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Skills

Core Skills

KubernetesAmazon Web Services (aws)DevopsChatbot DevelopmentSap Cloud Platform

Other Skills

AI AgentsAWSAWS BedrockAWS Control TowerAWS GravitonAmazon BedrockAmazon EKSApache CXFArgo WorkflowsAzure Kubernetes Service (AKS)Cloud ComputingContainerizationContinuous Integration and Continuous Delivery (CI/CD)Core JavaD3.js

About

I am a Technology Leader & Principal Engineer (VP) with 16+ years of experience building and scaling cloud-native and AI-driven platforms across financial services, SaaS, and government. At Arcesium, I lead firmwide mandates in AI/LLMs, Kubernetes scaling, developer experience, and cloud cost/security optimization. What I Do AI & Developer Productivity: Designed a ChatGPT-like platform on AWS Bedrock for 800+ developers and introduced AI Agents with MCP Server, saving 2000+ hours annually on GitLab workflows. Cloud Transformation: Championed AWS Graviton, Karpenter, and distroless containers, cutting costs by 25–30% while boosting performance. Previously led multi-account AWS architecture for an IPO-bound SaaS startup and delivered large-scale financial solutions for ANZ, Lloyds, and Saudi ministries. Community & Leadership: Public Speaker at AWS Community Days, Sri Lanka, KyvernoCon, HashiTalks, Kubernetes Community Days & KubeCon; recognized with Arcesium Tech Contributor Awards. DoKC Ambassador and CNCF Kubestronaut, passionate about open source and mentoring engineers. Always Learning I write actively on Medium, Dev.to, and LinkedIn, sharing insights on AI, Kubernetes, and cloud-native transformation. 🔗 GitHub: github.com/vinod827

Experience

Arcesium

Principal Engineer (VP)

Feb 2022 – Present · 4 yrs 1 mo · Gurugram, Haryana, India · Hybrid

As Principal Engineer (VP), I lead firmwide strategic mandates and engineering delivery across Arcesium’s global platform managing $5.2T AUM. My focus spans cloud-native architecture, AI/LLM innovation, Kubernetes scaling, and enterprise-wide cost/security optimization.
Key Contributions & Achievements
(1) AI Innovation at Scale:
Architected an internal ChatGPT-like platform on AWS Bedrock, enabling 800+ developers with secure AI coding assistance and boosting productivity by 25–35% while ensuring compliance.
Championed AI-driven IDE adoption (Cline AI + Bedrock), improving developer productivity by 20–35% firmwide.
Implemented AI Agents with OpenAI LLMs + MCP server, automating GitLab MR reviews and ticket resolution, saving 2000+ hours annually across ~4,000 MRs.
(2) Cloud Cost & Security Optimization:
Drove adoption of distroless + ephemeral containers, cutting image sizes by 70% and reducing storage/egress costs by ~20%.
Led JDK 21 upgrade & Jakarta EE migration across 200+ applications, eliminating vulnerabilities and meeting regulatory mandates.
Championed AWS Graviton + Karpenter + pod-aligned S3 buckets, cutting compute/storage costs by 25–30% with performance gains.
(3) Developer Experience & Reliability:
Standardized GitLab CI/CD pipelines firmwide, reducing onboarding from several days to a single day.
Enhanced observability with Datadog, reducing false alerts by 60% and improving on-call stability.
Introduced Argo Workflows for low/no-code data engineering pipelines, cutting pipeline build time from 3 days to 1 day.
(4) Recognition
Arcesium Tech Contributor Award (2022, 2023) – for firmwide technical leadership & innovation.
Active speaker at KubeCon, HashiTalks, AWS Community Days; contributor to open-source and technical blogs.

KubernetesAmazon Web Services (AWS)AI AgentsmcpAmazon BedrockOpenAI API+2

Simpplr

Technical Architect

Mar 2020 – Feb 2022 · 1 yr 11 mos · Gurgaon, Haryana

As Technical Architect at Simpplr (an IPO-bound SaaS startup, ARR $86M), I led the design and delivery of a multi-tenant SaaS platform on AWS, ensuring enterprise-grade scalability, security, and cost efficiency.
Key Contributions & Achievements
Enterprise Cloud Architecture: Designed and implemented a multi-account AWS architecture using Control Tower, IAM, and security best practices. Integrated with Okta & Google Workspace for federated identity management across 200+ enterprise clients.
Cloud Migration for Cost Efficiency: Spearheaded the migration from Salesforce Cloud to AWS, reducing platform costs significantly while unlocking flexibility to scale to 200+ enterprise customers and 500K+ users.
Scalability & Resilience: Built highly available, scalable Kubernetes-based applications on Amazon EKS, with automated CI/CD pipelines to streamline deployments.
Security & Compliance: Applied industry-leading DevSecOps practices and automated guardrails for compliance readiness at IPO stage.

Amazon Web Services (AWS)DevOpsJenkinsLinuxRESTful WebServicesAmazon EKS+1

Anz

Senior Technical Analyst

Jun 2019 – Mar 2020 · 9 mos · Singapore

Led engineering for ANZ’s global FX trading platform (Trade Butler), a critical real-time middle office solution built on Kubernetes/OpenShift to improve performance, scalability, and reliability.
Key Contributions & Achievements
Trading Platform Delivery: Designed and delivered Trade Butler, an FX trading application integrated with Murex, MPE, and WallStreet, improving operational efficiency by ~30%.
CI/CD Acceleration: Built multi-environment CI/CD pipelines from scratch using Atlassian Bamboo, reducing deployment cycles from days to hours.
Cloud-Native Transformation: Championed adoption of containerized microservices on Kubernetes/OpenShift to modernize trading workflows.

Amazon Web Services (AWS)OpenShiftDockerCloud Computing

Sap labs india

Lead Consultant

May 2018 – Jun 2019 · 1 yr 1 mo · Gurgaon, India

Led the development of an AI-powered conversational chatbot for SAP’s eCommerce business applications, leveraging Spring Boot, ReCast AI, and SAP Cloud Foundry to enhance customer experience and streamline operations.
Key Contributions & Achievements
Chatbot Development: Built and deployed an intelligent conversational bot on SAP Cloud Foundry, improving self-service capabilities and reducing support queries by ~30%.
Full-Stack Delivery: Designed and implemented backend services using Spring Boot & REST APIs for seamless integration with SAP systems.
Team Leadership: Managed and mentored a 4-member engineering team, overseeing technical design, delivery, and client interaction.

Chatbot DevelopmentSAP Cloud PlatformREST APIsJavaSpring BootSpring