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Mid-Senior DevOps | AI Engineer I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure ,alongside AI integrations using Claude, ChatGPT, MCP servers, and custom automation pipelines. Core Expertise DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Managed a multi-server WordPress infrastructure fleet with 21 production websites Architected a multi-tenant Supabase platform for UK property compliance workflows Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems — from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

I work in the US and European Time zones for US and European clients/companies. I have been doing EDI X12 integrations for the last 5 years. I can help you in your EDI requirement gatherings, requirement analysis, mapping specs design and development, development of maps, and onboarding of trading partners. I can help you in edi 850, 855, 856, 860, 846, 830, 810, 832, 846, 820, 864, 997, 210, 110, 310, 204, 214, 315 for supply chain and retail. I have also worked in API integrations with Amazon, Pallex etc. apart from XML, and other delimited file conversions and integrations with different corporate ERPs like SAP, CW1 etc. I can also help you in your day-to-day business edi support, errors and maintenance. Looking forward to working with you all. Regards Daniel India

Most of your codebase is code you didn't write. I secure it. I'm a principal-level security engineer who hardens software supply chains end to end — from the dependency entering your build to the provenance that ships to production. I work in regulated environments where getting it wrong isn't an option. What I deliver: SBOM pipelines with Syft, Trivy, and GUAC — generation and continuous analysis wired into your build Dependency risk triage with OpenSSF Scorecard, so your team fixes what matters instead of drowning in alerts Build provenance aligned to SLSA — prove how your artifacts were built, don't just hope they're clean Policy-as-Code with Kyverno and OSCAL — guardrails that block bad builds and produce audit-ready evidence Frameworks: NIST SSDF, ISO 27001, SLSA, OpenSSF, EU CRA, PCI-DSS You get working tooling and clear remediation — not just a report. Message me and let's scope it.

I build the Azure platform that serves 13+ Vodafone markets worldwide. As a Platform Engineer at Vodafone Group, I work on TaaZure, an internal developer platform (IDP) that gives engineering teams across the Group self-service access to compliant, production-ready cloud infrastructure. Every component I ship is architecture-approved, security-approved, and fully automated. In a global telco, "it works" is not enough. It has to pass enterprise governance, and that is the standard I build to by default. My daily stack: Azure (AKS, networking, private endpoints), Terraform and Terragrunt, ArgoCD and GitOps delivery, Kyverno policy-as-code, KEDA autoscaling, Karpenter, and self-hosted GitHub Actions runners at scale. What that means for your project: → Infrastructure as Code done properly: modular, reusable Terraform and Terragrunt that your team can actually maintain → Kubernetes platforms with governance built in: policies, autoscaling, and cost control from day one, not bolted on later → CI/CD pipelines that are secure and auditable, not just fast → Enterprise habits at any scale: even a startup deserves infrastructure that will not need rebuilding in a year Before Vodafone, I ran cloud infrastructure for the largest kids' e-commerce platform in the Middle East and helped build a sovereign cloud platform for enterprises in Saudi Arabia. I have shipped under consumer traffic pressure and under government-grade compliance requirements alike. If you need cloud infrastructure that is automated, compliant, and built to enterprise standards, let's talk.

I build and operate production-grade infrastructure on Azure AKS, including multi-tenant AI platforms serving internal product teams with LiteLLM as an LLM gateway, Langfuse v3 for observability, and ArgoCD for GitOps-driven deployments. Certified Kubernetes Administrator (CKA, 88%) and AZ-104 certified, with 5 years running production clusters for European enterprise clients across utilities, manufacturing, and tech. Biggest wins: Cut AKS infrastructure costs by 50%+ through right-sizing and node pool consolidation Reduced monitoring spend by 60% replacing Azure Log Analytics with self-hosted Loki/Grafana Migrated production clusters to Azure Workload Identity, eliminating stored service principal secrets What I deliver: Multi-tenant AI platform infrastructure (LiteLLM, Langfuse, CloudNativePG, ClickHouse, Valkey) Production AKS operations, cost optimization, and incident response GitOps pipelines with ArgoCD, Terraform/Terragrunt, and Azure DevOps / GitLab CI Observability stacks: Prometheus, Grafana, Loki, Grafana Alloy Security hardening: Workload Identity, OIDC federation, RBAC, Trivy CVE scanning

I'm a Site Reliability Engineer and System Engineer with 4+ years of experience building and maintaining cloud-native infrastructure at scale. My focus is on keeping production systems reliable, observable, and efficient — from managing Kubernetes clusters on AWS EKS, building CI/CD pipelines, setting up monitoring stacks, to being the person who troubleshoots production issues under pressure. What I bring to the table: • End-to-end ownership of cloud infrastructure across production and pre-production environments • Experience maintaining 99.99% uptime SLA on high-traffic systems • Hands-on with automation — reducing manual toil significantly through Ansible, GitOps, and pipeline improvements • Strong observability skills across Datadog, Splunk, Grafana, and Prometheus I enjoy working in fast-paced environments where reliability and delivery speed matter equally. Whether it's diagnosing a Kubernetes issue at 2AM or optimising a Jenkins pipeline, I get the job done. Currently based in Jakarta, Indonesia. Open to relocation and seeking new opportunities in cloud infrastructure, SRE, or DevOps roles internationally. Visa sponsorship required.