JT
Jins Thomas
DevOps Specialist · Platform & Cloud Engineering
Multi-Cloud (Azure & GCP) · Kubernetes · CI/CD Architecture · Terraform · API Gateways
Profile
DevOps Specialist with strong experience designing, building, and operating
scalable cloud infrastructure and DevOps platforms for modern applications.
Experienced in multi-cloud environments including
Microsoft Azure and Google Cloud Platform (GCP),
with a strong focus on Kubernetes platforms,
Infrastructure as Code, and automated CI/CD systems.
Skilled in designing DevOps architectures and leading platform migrations,
including CI/CD platform transitions from GitLab CI/CD to GitHub Actions
and cloud infrastructure migrations from Azure to GCP.
Experienced in modernizing DevOps workflows to improve scalability,
reliability, and operational efficiency.
Currently focused on GenAI platform infrastructure —
serving NVIDIA LLMs on on-prem GPU clusters with
Run:AI and NVIDIA NIM, building
RAG pipelines with vector / document stores, and
integrating Azure OpenAI, Google Vertex AI
and AWS Bedrock — while operating the cloud networking,
container platforms, API gateways, and microservices behind production
AI workloads.
Open to opportunities in
DevOps, Platform Engineering, and Cloud Infrastructure
roles across Europe.
Key Expertise
GenAI & LLM Platforms
NVIDIA NIM & Run:AI on on-prem GPU clusters, RAG with NV-Ingest, vector / document stores, and managed LLMs — Azure OpenAI, Vertex AI, AWS Bedrock. A2A & MCP.
Multi-Cloud Architecture
Microsoft Azure & Google Cloud Platform — landing-zone design, networking, IAM, hub-and-spoke topologies, cross-cloud workloads.
Kubernetes Platforms
AKS & GKE — cluster design, RBAC, ingress/Gateway API, Helm packaging, GitOps with ArgoCD, day-2 operations.
CI/CD Platforms
GitHub Actions, GitLab CI/CD, ArgoCD, Jenkins. Reusable shared templates, release pipelines, security gates.
Infrastructure as Code
Terraform, ARM templates, PowerShell. Modular, environment-driven IaC for Azure, GCP, and Kubernetes.
API Gateways & APIM
Apigee, Azure API Management, Agent Gateway — proxy design, LLM routing, rate limiting, security policies.
Platform Migrations
Led Azure → GCP infrastructure migration and GitLab → GitHub CI/CD migration for AI workloads.
Secure Networking
Private endpoints, Private Service Connect, Cloud NAT, NSGs / firewall rules, TLS & mTLS, certificate management.
FinOps & Cost Optimization
Right-sizing, autoscaling, reserved capacity, tagging & chargeback, cost dashboards across multi-cloud estates.
Release & Reliability
Supporting release processes, scalable cloud platforms, reliable deployments for AI & microservices applications.
Professional Experience
DevOps Specialist — AI Platform
amAIz · GenAI Platform · Current
Designing and operating multi-cloud DevOps and Kubernetes platforms for the
amAIz Generative AI product line — driving the migration from Azure to GCP
and from GitLab CI/CD to GitHub Actions, serving GenAI models, and keeping
production AI services running reliably across cloud and on-prem GPU
clusters.
- Led the Azure → Google Cloud migration for AI workloads using Terraform — GKE clusters, Compute Engine VMs, Dataproc, Apigee, Load Balancers, Cloud Storage buckets with lifecycle rules, Secret Manager, Cloud KMS, Cloud Armor and Elastic Cloud.
- Built the GCP networking foundation — VPCs and subnets, Private Service Connect (PSC), site-to-site VPN, Network Connectivity Center (NCC), Cloud NAT, and firewall / routing for hybrid and multi-region connectivity.
- Deployed and operated NVIDIA LLMs on an on-prem GPU cluster using Run:AI (GPU orchestration / scheduling) and NVIDIA NIM microservices — serving models such as gpt-oss-120b, gpt-oss-20b, Llama-3.2-3B-Instruct and Llama-3.3-70B-Instruct.
- Deployed NVIDIA embedding models (Llama-3.2-NV-EmbedQA-1B-v2) and built a RAG (Retrieval-Augmented Generation) pipeline using NVIDIA NV-Ingest for document ingestion, parsing and indexing.
- Integrated multiple managed LLM providers — Azure OpenAI, Google Vertex AI and AWS Bedrock — for model routing, fallback and redundancy.
- Deployed and configured data stores for the AI platform — MongoDB Atlas as vector store and document store (RAG), and PostgreSQL (Cloud SQL) on Google Cloud.
- Designed and operated the API gateway stack on Apigee, Azure API Management and Agent Gateway — API proxies with rate limiting and custom authentication / authorization for LLM routing and multi-tenant traffic.
- Supported the NGINX → Agent Gateway migration and implemented agent-oriented routing using A2A (Agent-to-Agent) and MCP (Model Context Protocol).
- Multi-cloud platform engineering across Azure and GCP — landing zone, IAM, networking, GKE / AKS clusters, shared services.
- Built GitOps delivery on ArgoCD + Helm for microservices and MCP servers; standardized Helm charts with HTTPRoute (Gateway API), Workload Identity, HPA and config / secret management.
- Implemented Workload Identity Federation from Kubernetes Service Accounts to Google Service Accounts with least-privilege cross-project access.
- Owned secure networking — private endpoints, hub-and-spoke topology, mTLS between services, corporate proxy & CA trust chain.
- Designed and managed Azure resources — VNets, subnets, NSGs, Application Gateway, Private DNS, Storage Accounts, VMs, disks, Private Endpoints, Azure OpenAI; AKS workloads with API Management, Logic Apps and PostgreSQL / Cosmos DB.
- Configured Key Vault, security policies and DR strategies, optimizing security and high availability for AI-driven applications.
- Led the GitLab → GitHub CI/CD migration — refactored and rebuilt pipelines for 150+ repositories on GitHub Actions with reusable shared workflows, secrets & environments, OIDC to cloud, runner configuration, branch protection, release flows and CI/CD security best practices.
- Implemented GitLab CI/CD with merge trains and merge result pipelines (initial Azure phase); contributed to design-stage features leveraging the Azure SDK.
- Built release and on-call tooling including a read-only DevOps troubleshooting agent integrating kubectl, gcloud, ArgoCD, Apigee, Elastic and GitHub.
- Implemented an automated release process for our SaaS platform, now close to achieving fully one-click releases; maintained release stability across customer environments.
GCPAzureAWSGKEAKS
NVIDIA NIMRun:AINV-IngestRAG
Vertex AIAzure OpenAIAWS Bedrock
MongoDB AtlasPostgreSQL
ApigeeAgent GatewayA2AMCP
GitHub ActionsGitLab CIArgoCDHelm
TerraformWorkload IdentityFinOps
DevOps Specialist
Amdocs Optima
- Designed, implemented and maintained CI/CD pipelines using Jenkins and Groovy scripting; automated build, test and deployment for microservices and monolithic applications.
- Troubleshot pipeline failures, integration issues and performance bottlenecks to keep delivery flowing.
- Installed, configured and maintained Jenkins for enterprise environments — plugin management, pipeline automation, security hardening, RBAC and user-access control.
- Created custom deployment automation in Groovy, Shell and Bash scripting.
- Performed regular backups and restores for DevOps tooling, ensuring high availability and disaster recovery.
- Installed, configured and managed GitLab Enterprise for version control and CI/CD — repositories, user permissions, branch policies and pipeline standards.
- Configured LDAP and SMTP integrations for DevOps tools.
- Installed, configured and maintained Nexus Repository Manager for artifact storage — Docker images, Maven and NPM packages; automated backup, cleanup and repository integrations.
- Built and optimized Docker images for microservices and enterprise applications.
- Deployed and managed applications in Kubernetes, including RBAC, Ingress and end-to-end troubleshooting.
- Implemented Helm charts and ArgoCD for automated deployments and GitOps workflows.
- Set up and maintained NGINX Ingress controllers for traffic routing and load balancing.
- Implemented OpenBao Key Vault with External Secrets for secure secret management in Kubernetes.
- Automated infrastructure provisioning using Terraform across cloud and on-prem environments.
- Managed and deployed workloads on AWS and Kubernetes clusters; deployed, managed and troubleshot production and staging environments.
- Implemented continuous-deployment strategies across client environments; monitored system health, optimized performance and ensured high availability.
- Implemented TLS / mTLS encryption for secure communication across microservices and managed SSL/TLS certificates for Jenkins, GitLab, Nexus, Kubernetes and ArgoCD.
- Worked with PostgreSQL and Couchbase for database administration and automation.
- Built a Configuration-as-Code (CAC) framework that delivers custom SQL queries and JSON files to Couchbase buckets, packaged as a Docker image.
- Designed and implemented DevOps networking between client sites and Amdocs premises, ensuring secure and efficient connectivity across multiple locations.
- Created automation for data synchronization between Nexus repositories, ensuring seamless flow between customer sites and Amdocs infrastructure.
- Developed complex automation solutions integrated with products to streamline data publishing, integrity checks and notifications.
- Acted as the focal point for DevOps technical issues — guiding teams, resolving complex challenges and assisting management in DevOps strategy and product-delivery planning.
- Onsite deployment & knowledge transfer: traveled to Kazakhstan to build a complete DevOps environment and conducted knowledge-transfer sessions for the customer.
JenkinsGitLabNexus
DockerKubernetesHelm
ArgoCDNGINX
TerraformAWS
OpenBaoTLS / mTLS
PostgreSQLCouchbase
GroovyBash
Senior System Engineer / System Engineer (DevOps)
Infosys Limited
- Designed and managed Azure cloud infrastructure — cost-effective, high-availability architectures across multiple clients.
- Automated Azure provisioning with PowerShell and ARM templates; built post-provisioning automation.
- Provisioned and managed AKS clusters; Helm-based deployments; troubleshooting for high availability and scalability.
- Designed DevOps networking between client sites and Amdocs premises; built Nexus data sync automation across geographies.
- Acted as the focal point for DevOps technical issues and assisted management on DevOps strategy and product delivery planning.
- Onsite deployment and knowledge-transfer assignment in Kazakhstan — built a complete DevOps environment for the customer.
- Implemented CI/CD pipelines for AKS using Helm charts; configured Datadog for cloud and Kubernetes monitoring.
- Configured and managed Azure Pipelines for Continuous Delivery.
AzureAKSPowerShell
ARMHelmDatadog
Azure PipelinesNexus
System Engineer (DevOps)
Infosys Limited
- Containerized applications and daemon jobs using PKS (Pivotal Container Service).
- Authored Dockerfiles and Kubernetes manifests for client applications.
- Built CI/CD pipelines using GitLab CI/CD; managed repositories, version control and collaboration.
- Designed and optimized GitLab pipelines for build, test and deployment automation.
- Monitored and managed pods, deployments and services using PKS Dashboard and kubectl; troubleshot containerized application and deployment issues.
PKSDockerKubernetes
GitLab CI
Senior Operation Executive / Operation Executive
Infosys Limited
- Built and activated new telecom services for enterprise customers — VOIP services, trunks and routers.
- Configured and provisioned network services for seamless connectivity and optimal performance.
- Diagnosed and resolved network issues on switches and routers, ensuring minimal downtime.
- Performed service migrations across platforms and managed lifecycle disconnections per contract policy.
Side Projects
In Progress
DevOps Agent with Embedded MCPs
An LLM-powered, read-only DevOps troubleshooting agent for cloud-native
platforms. Embeds Model Context Protocol (MCP) servers
for kubectl, gcloud, ArgoCD, API gateway and observability backends so
the agent can investigate clusters, pipelines and traffic without
making changes. Pluggable LLM (OpenAI-compatible / Vertex AI), CLI +
web chat, Helm-deployable on Kubernetes with Workload Identity.
LangGraphFastAPI
MCPKubernetes
HelmPython
In Progress
Collaborative Photo & Event Platform
A collaborative web app for event photo management —
shared albums for weddings, trips and gatherings, with on-the-fly
custom event web pages and invitations. Multi-user
uploads, smart organisation, sharing controls and a lightweight
page-builder for hosts to launch a branded event site in minutes.
Web AppCollaboration
StorageEvent Pages
In Progress
Shopify Auction App
A Shopify app that adds time-bound
auctions and bidding to merchant stores — auction
scheduling, real-time bid updates, anti-snipe extensions, automatic
winner-to-cart conversion and email notifications. Built as an
embedded Shopify app with the Shopify Admin / Storefront APIs.
ShopifyApp
E-commerceAuctions
Hard Skills
AI / GenAI / LLM
- NVIDIA NIM & Run:AI — serving LLMs on on-prem GPU clusters (gpt-oss-120b / 20b, Llama-3.2-3B, Llama-3.3-70B)
- RAG pipelines with NVIDIA NV-Ingest & embeddings (Llama-3.2-NV-EmbedQA-1B-v2)
- Managed LLMs — Azure OpenAI, Google Vertex AI, AWS Bedrock
- Vector / document stores (MongoDB Atlas); A2A & MCP protocols
Cloud Platforms
- Azure — administration, resource provisioning, AKS, networking, Key Vault, APIM, OpenAI
- Google Cloud Platform — GKE, IAM, VPC / PSC, NCC, site-to-site VPN, Cloud SQL, Dataproc, Load Balancing, Apigee, Cloud Storage, Secret Manager, Cloud Armor, Cloud NAT, Vertex AI
- AWS — Bedrock, workload & Kubernetes deployments
DevOps & CI/CD
- GitHub Actions — reusable workflows, OIDC to cloud, security gates
- GitLab CI/CD — installation, merge trains, pipeline automation, backup & restore
- Jenkins — enterprise install, pipelines, plugin & security management
- ArgoCD — GitOps, app-of-apps, projects, sync waves
- Azure Pipelines · Helm chart authoring & release
Containers & Orchestration
- Kubernetes — RBAC, Ingress / Gateway API, troubleshooting, end-to-end cluster operations
- AKS & GKE — provisioning, administration, deployment automation
- PKS · Docker · Docker Compose · Podman
- Container runtimes — CRI-O, containerd
Infrastructure as Code & Automation
- Terraform — modular IaC for Azure, GCP, Kubernetes
- ARM templates for Azure resource automation
- PowerShell · Bash · Shell scripting
API Gateway & API Management
- Apigee — proxies, endpoint attachments, LLM routing
- Azure API Management — policies, products, developer portal
- Agent Gateway — agent-aware routing & policy
Networking & Security
- NGINX Ingress Controller — install, configure, traffic routing
- TLS / mTLS & certificate management for microservices and DevOps tools
- Private endpoints, Private Service Connect, Cloud NAT, NSGs, firewall design
Artifact & Image Management
- Nexus Repository — install, config, data sync, backup & restore
- Skopeo for copying / transferring container images
- ACR · ECR · GitHub / GitLab registries
Databases & Observability
- PostgreSQL, Couchbase, Cosmos DB, MongoDB Atlas
- Datadog, Elastic Cloud, Cloud Logging / Monitoring
- Configuration-as-Code (CAC) framework for Couchbase
Certifications, Education & Achievements
Certifications
- AZ-900 — Microsoft Azure Fundamentals
- AZ-104 — Microsoft Azure Administrator
- AZ-400 — Microsoft Azure DevOps Engineer Expert
- Infosys Certified Kubernetes Administrator
Education
- BSc Mathematics
- St. Dominic’s College, Kanjirappally
- 2013 – 2016
Achievements
- Recognized as Outstanding Performer in year-end evaluations for 2017, 2018, 2019, 2022, 2023 and 2024 for consistently exceeding performance expectations.
- 2026 — awarded a special bonus and Top Performer recognition for outstanding results on the GitLab → GitHub migration.
- Led platform migrations (Azure → GCP and GitLab → GitHub) for the amAIz GenAI platform.
- Onsite DevOps build-out & knowledge transfer in Kazakhstan.
Languages
- English — Full Professional Proficiency
- Malayalam — Native / Bilingual
- Hindi — Limited Working Proficiency