Numbers
- Build time60+ min down to 20
- Test environment start25 min to 5
- Serverless stacks migrated297
- Repositories moved to GitHub~500
- MCP tools behind one gateway92
Lead/Staff DevOps Engineer
Zain Baloch
I make infrastructure invisible to the teams building on it, so they ship fast and stay secure.
Certifications
Google Data Analytics ProfessionalGoogle · 2025
AWS Certified DevOps Engineer - ProfessionalAmazon Web Services · 2024
HashiCorp Certified: Terraform Associate (003)HashiCorp · 2024
Certified Jenkins EngineerCloudBees · 2024
Magento Certified Developer PlusAdobe Commerce · 2017
Tools
- Cloud
- Infrastructure
- Delivery
- AI platform
- Code
- 297serverless stacks migrated by the 13 teams that owned them
- ~500repositories moved from Bitbucket to GitHub
- 92internal tools behind one MCP gateway
- 14engineering teams onboarded to the AI toolchain
Selected work
My recent work
Jenkins retirement
Jenkins got slower the longer it ran. Stuck processes, a main process at 18GB, scheduled restarts to keep it alive and big repositories timing out on checkout. I moved the jobs onto TeamCity and the internal deployment system team by team until no jobs were left, then shut the servers down.
One delivery path, one less platform to babysit and $54k a year saved on servers and agents. In on-demand test environments an app deploy now takes about 5 seconds, where Jenkins took minutes.
Serverless migration framework
297 serverless stacks owned by 13 teams sat on runtimes heading for end of life, with their pipelines going away alongside Jenkins. I designed the migration and built self-service scripts that scanned each stack and gave its team the exact steps.
13 teams migrated their own stacks off the deprecated runtimes and off Jenkins, each on its own schedule.
Build once, deploy anywhere
Each environment got its own build, so what reached production was not the package that passed QA. I led one packaging model for ECS, EKS, Lambda and frontends, from design to implementation, where TeamCity builds a package once and the internal deployment system adds the environment config at deploy time.
35 services now build once in TeamCity and 25 deploy with the internal deployment system. P95 deployment time fell by 8 minutes 41 seconds.
Shared AI platform
I designed a shared AI platform on EKS where every app and workflow calls one LiteLLM gateway and only the gateway talks to Bedrock, with per-team keys, cost caps and audit logs. I picked the AWS region, set up Bedrock and n8n and proposed Argo CD for deploys, which the design review adopted.
17 internal apps and workflows and 6 teams outside my own run on one governed platform, with spend tracked per team.
Certifications
Google Data Analytics ProfessionalGoogle · Jun 2025
AWS Certified DevOps Engineer - ProfessionalAmazon Web Services · Apr 2024
HashiCorp Certified: Terraform Associate (003)HashiCorp · Apr 2024
Certified Jenkins EngineerCloudBees · Mar 2024
Magento Certified Developer PlusAdobe Commerce · Apr 2017