I build platforms that let other engineers ship faster. For the last decade, that's meant designing and running Kubernetes-based infrastructure at scale—from self-service developer portals to air-gapped software factories for the US Air Force and DoD programs.
I lead teams, mentor engineers new to the cloud, and care as much about the developer experience as the infrastructure underneath it. I've built in both commercial and government environments, internet-connected and disconnected, and I'm most useful when the problem is "we need this to work reliably for hundreds of people, yesterday."
osim@dev~/experiencecat history.json | jq '.[]'
Amazon Web Services11/2025 – Present
System Development Engineer III
RUNNING
Booz Allen Hamilton07/2021 – 10/2025
Chief Engineer
Led a team of 7 Platform and Cloud engineers architecting and building a secure-by-default platform-as-a-service with automated resource deployment and a self-service developer portal.
Designed and implemented a project onboarding pipeline for creating AWS accounts and Kubernetes clusters within 70 minutes leveraging AWS Landing Zone Accelerator, Step Functions, and Terraform.
Spearheaded and mentored a team of 5 platform engineers designing and operationalizing an enterprise software platform for the F-35 Joint Program Office, automating VMware Tanzu Kubernetes Grid deployments.
Built custom GitLab CI pipelines for cross-domain software artifact deployment from inter-connected USAF environments to classified environments utilizing Amazon Diode.
Established GitLab CI pipelines for testing Kubernetes Platform applications and automated infrastructure deployments across Rancher RKE2, air-gapped Kubernetes, and K3D distributions.
Deployed Kubernetes clusters with autoscaling capabilities that dynamically adjust pod and cluster size, implementing horizontal and vertical autoscaling strategies utilizing event-driven and resource-driven metrics.
Booz Allen Hamilton03/2019 – 07/2021
Senior Lead Technologist
Built a standardized Platform-as-a-Service / Platform-in-a-Box for the United States Air Force under the Chief Software Officer.
Led a team of 4 Engineers as the Classified Operations Technical Anchor enabling low-side development and automating deployment of software to classified environments in SIPR and JWICS.
Served on the Air Force Platform One program as an Advanced Kubernetes SME, developing and deploying platform capabilities utilizing open source technologies for government Mission Application Developers.
Designed and deployed production grade Kubernetes platforms hosting software factories for government contract technical challenge evaluations.
Selected as the lead technical presenter and SME for government proposal evaluations, conducting live demos, presenting technical orals, and developing technical volumes for competitive contract awards.
BigBear Inc11/2017 – 03/2019
Infrastructure Lead
Led application teams in migrating from legacy virtual machines to custom built, high-performance compute clusters.
Established automated CI/CD processes and deployment pipelines to build Docker containers and deploy into Kubernetes environments running on bare metal within a datacenter.
Established the company's first large-scale performant Kubernetes cluster: 32 Nodes, 4TB RAM, 1024 Cores, and 64TB SSD storage.
Grew overall company data center to 3000+ cores, 7+ TB of RAM, and 300 TB of mixed SSD/HDD storage.
BigBear Inc01/2017 – 11/2017
Senior Software Engineer
Researched and implemented modernization strategies to modify the operational stack, remove brittle deployment processes, and adopt Docker and Kubernetes.
Maintained a Virtual Private Cloud with over 1500 cores and 25 Servers, supporting a Cassandra cluster comprising billions of records.
Provided 24/7 support and maintenance of the private cloud and associated ingest and egress data pipelines.
BigBear Inc11/2015 – 01/2017
Senior Software Engineer
Developed an information mapping, geo-capable solution using Django backed by Elasticsearch, enabling search over 30 billion documents with highly performant queries.
Created Amazon CloudFormation scripts for automated deployments and scaling for both AWS and C2S.
Prototyped and implemented custom solutions utilizing RDS, SQS, EC2, and S3 to provide durable services easily deployed across multiple regions.
Automated frontend and backend machine configuration using Fabric Scripts and CloudFormation for fast, seamless deployment requiring no manual interaction.
Data Meaning04/2014 – 11/2015
Software Engineer
Served on the Analytics Team of a major Hotel Company, converting outdated and complex ETL processes into logical and stable data flows.
Implemented automated Python scripts for data manipulation formerly done by hand, saving time on daily, weekly, and monthly tasks.
Built a custom data retrieval script to automatically scrape vendor data from APIs and transform customer data, handling instability and inconsistency errors from third party vendors.
Designed and tested a conversion plan to migrate existing data flows and data warehouses to newer software versions with zero downtime.
CGI Federal02/2012 – 04/2014
Consultant / Application Developer
Technical consultant on the Momentum Technical Support team, supporting issue resolution, development, and upgrade support for Java components of the Momentum suite.
Supported implementation and ongoing maintenance of Momentum for multiple Federal clients in a geographically dispersed shared pool of resources.
Supported on-site project teams with new system implementations and upgrades by providing application development, testing services, and issue analysis.
Interviewed and mentored new Technical Consultants through the Momentum Apprenticeship Program.