bradjanke
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bradjanke

Resume

I build and deliver systems end-to-end from infrastructure to product. I’m most useful when a problem spans your entire stack and someone needs to own it.

  • Technical leadership involving growing teams, on-call discipline, post-mortems, mentorship
  • End-to-end architecture and implementation across frontend, APIs, workers, databases, and infrastructure (AWS, Terraform)
  • AI engineering pipelines that let small teams ship at scale

AI Engineering:

I design and operate AI-assisted development pipelines built around the guardrails, retry loops, and audit systems that turn LLM agents into a dependable part of an engineering workflow.

Experience

Float Health — Staff Software Engineer

December 2023 – Present

  • Architected an AI engineering pipeline end-to-end including a deterministic harness that steers and gates LLM-based implementation, plus scheduled audit agents that sweep the repo for drift between context and implementation.
  • Designed and established context with engineering standards throughout the repo to help steer agents.
  • Automated context drift detection that alerts engineers via PRs to drift between established context and implementation.
  • Deterministic gates inspect the AST and leverage a suite of custom linting rules to ensure patterns are maintained. Gates return structured errors (file, line, message) that feed directly into retry prompts so the agent corrects the specific failure in fewer iterations.
  • Improved harness success rate on legacy code/tech debt by scoping gates down to the modified code.
  • Inherited a broken scheduling system affecting thousands of daily operations. Reimplemented it end-to-end with zero data loss.
  • Built a real-time nurse-opportunity matching system using Go and gRPC across multiple services.
  • Migrated the platform from EKS to ECS with zero service interruption, then rebuilt CI/CD with GitHub Actions to cut deployments from hours to minutes.
  • Owned incident response and led post-mortems that drove lasting reliability improvements and established on-call practices and runbooks for production services.
  • Mentored engineers via 1:1’s, reviews, and feedback sessions.

MTN Development LLC — Owner

February 2017 – Ongoing

  • Ran independent consulting practice focused on AWS infrastructure and Terraform adoption. Managed multiple concurrent client engagements from discovery through delivery
  • Contributed to open source Terraform modules at Cloud Posse, building reusable patterns for cloud transformation on AWS
  • Brought clients from zero Terraform experience to self-sufficient — delivering production infrastructure while training their engineers to maintain it
  • Rebuilt fragmented CI/CD pipelines across client organizations, replacing manual processes with automated builds and deployments via Jenkins and GitHub Actions

Kanini — Principal Cloud Engineer

March 2023 – August 2023

  • Brought in to build a Cloud Engineering practice from scratch — defined hiring process, interview criteria, and onboarding documentation alongside leadership and recruiting
  • Built an Azure subscription vending pipeline using GitOps and Terraform, replacing a manual ticket-based process for the engineering team
  • Embedded with struggling client engagements as a subject matter expert to identify gaps, provide training, and get projects back on track

CloudKnit — Founding Engineer

April 2022 – March 2023

  • Redesigned the platform architecture from single-tenant to multi-tenant, implementing changes across backend services, Kubernetes operator, Argo CD, React frontend, and database
  • Replaced a self-managed Dex identity provider with Auth0 and designed self-service account registration, removing manual onboarding bottlenecks
  • Cut deployment time from over an hour to roughly five minutes by replacing manual processes with GitHub Actions and automated Helm chart deployments across all repositories

Optum — Lead Software Engineer

June 2020 – February 2021

  • Designed and led implementation of an event-driven PII data ingestion and validation platform on Azure using Data Factory, Databricks, and Azure Functions. Non-technical users managed client configurations directly, keeping engineering focused on the platform.
  • Built serverless validation pipelines processing hundreds of gigabytes per batch, with Spark handling row-level validation across the Databricks cluster
  • Spearheaded Terraform adoption talks across an engineering organization of 600+ engineers during their migration from on-prem to Azure
  • Acted as Scrum Master, Project Manager, and Engineering Lead on a team of five

Earlier Roles

  • LiveSchool — Senior Backend Engineer (February 2019 – March 2020)
  • Contino — Senior DevOps Consultant (October 2018 – February 2019)
  • Rackspace — Platform Engineer (October 2016 – September 2018)
  • Change Healthcare — Senior Software Engineer (April 2016 – August 2016)
  • Kanini — Senior Software Engineer (October 2014 – April 2016)
  • GISi — Senior Software Engineer, Contract (April 2014 – September 2014)
  • Titan Cloud — Senior Software Engineer (April 2013 – April 2014)
  • Kanini — Software Engineer (April 2010 – April 2013)
  • PlantCML/Dialogic — Software Engineer (September 2007 – February 2010)

Skills List

Go, gRPC, REST, MySQL, TypeScript, Node.js, React, PostgreSQL, AWS (ECS, EKS, Lambda, RDS, S3, CloudFront), Azure (Data Factory, Databricks, Functions), Terraform, Kubernetes, Docker, Argo CD, Helm, GitHub Actions