Production workflows for LLM systems, evaluation, deployment, and operational control.
AI + Reliability + Cloud + Backend
Zunaira Siddique
Senior engineer focused on AI systems, site reliability, cloud platforms, and software delivery. I build resilient infrastructure, practical automation, and backend systems that stay dependable as products grow.
What I Optimize For
Reliable systems, faster delivery, calmer operations.
Applied AI infrastructure, integrations, and production-minded delivery.
Observability, incident readiness, operational resilience, and service trust.
Multi-cloud architecture, platform engineering, automation, and security-aware operations.
Go and Python services, APIs, tooling, and delivery workflows that teams can scale with.
About
Engineering that balances product speed with operational depth.
I bring more than ten years of hands-on experience across DevOps, cloud-native engineering, backend systems, platform reliability, LLMOps, and modern automation. My work spans Kubernetes, Docker, AWS, GCP, observability tooling, CI/CD, and software development in Go and Python.
I care about systems that work well in the real world: clear delivery paths, strong operational visibility, thoughtful developer experience, and infrastructure that supports teams as products and complexity grow.
What I Bring
Four areas that define how I help teams move with confidence.
Production reliability
Stronger observability, cleaner incident response, and systems designed to fail more gracefully under real operating pressure.
Platform clarity
Better internal platforms, streamlined workflows, and infrastructure patterns that reduce friction for engineering teams.
AI-ready foundations
Practical infrastructure and software patterns that make AI initiatives easier to integrate, operate, and scale responsibly.
Delivery confidence
Automation, release discipline, and backend engineering that keep shipping predictable without sacrificing quality.
Some problems I was brought in to solve, and what shipped.
Okta onboarding automation
Problem
Onboarding a new application to Okta was an 8-step manual process that slowed platform adoption.
Action
Automated the workflow with Python, AI agents, GitHub Actions, and automation to guide and execute onboarding steps.
Result
Cut the process from 8 steps to 3, removing a recurring manual bottleneck for onboarding teams and helping onboard 200+ applications on a tight deadline.
Zero-downtime Open edX platform
Problem
Open edX needed scalable, secure, and resilient deployments across development, staging, and production on AWS.
Action
Led the team automating deployments with Ansible, Terraform, and CloudFormation, stood up the Tutor distribution on EKS, and configured Jenkins on ECS and Azure DevOps.
Result
Delivered zero-downtime, easy-rollback continuous deployment across every environment.
Multi-cloud Kubernetes automation
Problem
Deploying Kubernetes and Istio components consistently across multiple cloud providers was manual and error-prone.
Action
Built gRPC services in Golang to automate deployment of Kubernetes and Istio components across AWS, GCP, and DigitalOcean.
Result
Standardized multi-cloud infrastructure deployment behind a single automated interface.
AWS to GCP migration
Problem
A production React application needed to move from AWS to GCP without losing monitoring coverage.
Action
Executed the migration using GCP's migration service and stood up an EFK stack for monitoring and logging on the new platform.
Result
Completed the cloud migration with logging and monitoring in place from day one.
ECS/RDS to EKS/Aurora migration
Problem
An application running on ECS with RDS needed to move onto Kubernetes with GitOps-driven delivery, without disrupting production traffic.
Action
Migrated the workload from ECS and RDS to EKS and Aurora, then configured ArgoCD to manage deployments declaratively from Git.
Result
Moved the workload onto EKS and Aurora with zero production disruption, and replaced manual deploys with Git-driven releases through ArgoCD.
GitOps rollout automation for NodeJS microservices
Problem
NodeJS-hosted microservices needed automated workflows and progressive rollouts, but nothing tied deployment orchestration directly into the Go tooling already in use.
Action
Implemented Argo Workflows, ArgoCD, and Argo Rollouts using the Golang SDK, and wrote a custom Kubernetes CRD to model the rollout process natively.
Result
Gave the microservices GitOps-driven, progressive delivery with rollout logic controlled through Kubernetes itself rather than external scripts.
Skills
Tools and technologies I use across platform and product work.
AWS
Azure
GCP
DigitalOcean
Amazon Bedrock
AgentCore
Guardrails
SageMaker
AI Integrations
LLM Application Infrastructure
RAG
Vector DBs
LangGraph
Golang
Python
FastAPI
Docker
Kubernetes
Helm
Okta
CI/CD
Jenkins
GitLab CI
GitHub Actions
Monitoring and Observability
Elasticsearch
Prometheus
Grafana
Kibana
Terraform
Ansible
Linux
SQL
MySQL
REST APIs
gRPC
HashiCorp Vault
Playwright
Certifications
Verified credentials, rendered locally for reliability.
Experience
A path shaped by platform, product, and reliability work.
Senior Software Engineer
Zalando
Oct 2023 - Oct 2024
Senior DevOps Engineer
Arbisoft
Dec 2020 - Oct 2023
Senior Software Engineer
Acquia
Jul 2022 - Dec 2022
Software Engineer
Cloudplex
Jul 2019 - Dec 2020
DevOps Engineer
Time Xcess
Jan 2016 - Jun 2019
Contact
Let’s build something reliable, efficient, and well-crafted.
Reach me directly at zunairasiddique518@gmail.com for collaborations, consulting, and engineering opportunities.
The fastest path is a direct email or a calendar booking if you already know what you want to build or improve.