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RELIABLE · EFFICIENT · SCALABLE

Cloud operations built for speed and cost control.

Production grade infrastructure with CI/CD automation, observability, and cost controls built in from day one.

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Core

Core Platform Engineering

  • Cloud and datacenter platforms: AWS, Azure, GCP, VMware, Linux
  • Platform foundations: compute, networking, identity, and container runtime standards
  • Infrastructure as Code: Terraform modules, environment standardization, repeatable provisioning
  • Networking: cloud networking, private connectivity, DNS, load balancing, security
  • Data layer: database platforms, backups, and operational reliability
Core platform engineering visual

Migrations

Cloud Migrations

  • VMware and Nutanix migrations to AWS or Azure, including hybrid setups
  • Cross-cloud migrations between AWS, Azure, and GCP
  • Landing zones, account and org structure, IAM baselines, network foundations
  • Phased delivery with validation and risk control
  • Targeted modernization: containers and managed services
Cloud migrations visual

FinOps

FinOps and Cost Optimization

  • Cloud cost optimization, rightsizing, and capacity planning
  • Autoscaling strategy and scheduling for predictable workloads
  • Spot and reserved strategy with guardrails
  • Storage tiering, lifecycle policies, retention
  • Transfer cost reduction through architecture and routing choices
FinOps and cost optimization visual

GitOps

GitOps

  • Argo CD with Git as the source of truth
  • Environment promotion and drift control
  • Progressive delivery patterns and safe rollouts
  • Multi-cluster and multi-tenant operational patterns
GitOps visual

CI/CD

CI/CD and Automation

  • CI/CD foundations: predictable pipelines, standards, reusable patterns
  • Runner provisioning and optimization: capacity, caching, and fast startup
  • Build and test automation: fast feedback, parallel execution, failure isolation
  • Release automation: versioned artifacts, reproducible builds, consistent deployments
  • Pipeline reliability: clear signals, stable workflows, fast recovery from failures
CI/CD and automation visual

Security

Security Hardening

  • DevSecOps: shift left security, secure SDLC, SAST/DAST, vulnerability scanning
  • Zero trust: strong identity, least privilege, segmentation
  • Secrets management and secure configuration baselines
  • Supply chain security: SBOM, dependency and container scanning
  • Agentic AI security: scoped tools, sandboxing, audit logs
Security hardening visual

Observability

Observability and Monitoring

  • End to end observability from design to production rollout
  • Grafana stack for metrics, logs, and traces
  • Dashboards for operations, troubleshooting, and capacity planning
  • Alerting that reduces noise, escalation paths, runbooks
  • Reliability and performance tracking with RED and USE
Observability and monitoring visual

GenAI

GenAI Platform Engineering (LLMOps)

  • GenAI platforms across cloud and private environments, including AWS Bedrock
  • LLM inference platforms for deployment, scaling, reliability, and operations
  • Retrieval Augmented Generation (RAG) architecture and delivery for document grounded chat
  • Vector databases and hybrid search, embeddings, and chunking strategy
  • Document ingestion pipelines with OCR and processing workflows
  • Reranking, prompt templates, evaluation, grounded answers with citations
GenAI platform engineering visual

CONTACT

Reliable by design · Efficient by default · Scalable on demand

I help companies design, migrate, and operate cloud and Kubernetes platforms that stay reliable under real load. Pragmatic engineering, clear tradeoffs, and execution aligned with your expectations.

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