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  Location: Nashville, TN
  Remote: true
  Willing to relocate: boston || nashville
  Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot, 
                Redis, Docker, Open Service Broker, {,non}relational & vector dbs, shared services, SOA 
  Email: mvdoster@gmail.com
resume: https://linkedin.vdoster.com && http://github.com/vladdoster

sr. cloud software engineer @ Mastercard (5 years)

  Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
  to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to 
  deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
  in Azure for application teams wanting to perform globally. Designed platform components using 
  Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the 
  platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.
api/devops software engineer @ Harvard Medical School (2 years)

  Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
  Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
  Coordinated cross-team emergency patching efforts. Collaborated with researchers and engineers across
  3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
  to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet. 
  Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.
full-stack software engineer @ Global Prior Art (3 years)

  Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
  apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
  Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.
contributor @ Open-source documentation (5 years)

  Contributed hundreds of documentation corrections and enhancements to 400+ open source projects.

Location: Lancaster, SC (Charlotte, NC area) Remote: Yes Willing to relocate: No

Technologies: Excel, JDE, Jira, Notion, Google Sheets, dashboards, KPI tracking, process improvement

Résumé/CV: https://docs.google.com/document/d/1aeCqI1C4RztnIMdyPUlBWcYY...

Email: jasminehowie00@gmail.com

Business Analyst / Operations | 8+ years

I help teams streamline workflows, build dashboards, and improve project delivery across operations and finance environments.

Recently built KPI dashboards improving reporting visibility and supporting data-driven decisions.

Experience supporting cross-functional teams, vendor coordination, and reporting in fast-paced environments.

Open to contract or full-time. Available immediately.


*

1 point by zanedev28 41 days ago | parent | context | next | edit | delete [–] | on: Ask HN: Who wants to be hired? (February 2026)

Location: Charleston, SC

Remote: Yes

Willing to relocate: Yes

Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...

LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

Email: zanedev28@gmail.com

GitHub: https://github.com/Kcstills17

Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

*

1 point by zanedev28 62 days ago | parent | context | prev | edit | delete [–] | on: Ask HN: Who wants to be hired? (January 2026)

Location: Charleston, SC

Remote: Yes

Willing to relocate: Yes

Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

Resume/CV:https://drive.google.com/file/d/18Oqx3BqpubL6YszI2GAcFFZrNxz...

LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

Email: zanedev28@gmail.com

GitHub: https://github.com/Kcstills17

Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

Looking for roles in backend engineering, DevOps/SRE, observability, or AI tooling where I can leverage my experience building developer infrastructure and working with distributed systems.


Multiple pages link to a `API Reference` that returns a 404


Oops, sorry! That page is still a WIP, haven't pushed it yet. The plan was to expose the main search and chat APIs so that users can build integrations with third-party messaging apps (e.g. Slack), but haven't gotten around to properly documenting all the APIs yet.


Thoughts on Agent Context Protocol (ACP)?


MacOS team probably hired a windows engineer


  "Sync your logged-in browser sessions from the Extension to Cloud browsers. Access authenticated sites at scale."
Genuine question, have you seen 'cookie syncing' before (google, perhaps)? If so, what was it used for? I could understand if it they were cookies for your service only. It sounds like a security nightmare waiting to happen.


So with the rise of cloud browser agents, identity management is a critical problem.

There are a lot of users on our rtrvr.ai/cloud platform wanting to automate sites where they have to login to and right now are resorting to including usernames/passwords in prompts (presumably these are non critical sites that they dont really care about). We are offering a more secure option of just syncing cookies from our Chrome Extension to our cloud browsers so the agents will always be logged in without any credential exposure.

You choose the specific domains for the cookies you want synced so its not like all your cookies are syncing.


Please email me mvdoster@gmail.com.


Pangram reports the article is 100% AI generated

https://www.pangram.com/history/a4492704-2897-4cfb-b921-b281...


i have the previous version of the kinesis keyboard and have a Magic Mouse trackpad secured with Velcro in the middle area of the keyboard. It fits perfectly and lets me keep my hands on the keyboard.


I like that idea a lot, I have a trackpad laying around somewhere.


  Location: Nashville, TN
  Remote: true
  Willing to relocate: boston || nashville
  Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot, 
                Redis, Docker, Open Service Broker, {,non}relational & vector dbs, shared services, SOA 
  Email: mvdoster@gmail.com
resume: https://linkedin.vdoster.com && http://github.com/vladdoster

sr. cloud software engineer @ Mastercard (5 years)

  Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
  to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to 
  deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
  in Azure for application teams wanting to perform globally. Designed platform components using 
  Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the 
  platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.
api/devops software engineer @ Harvard Medical School (2 years)

  Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
  Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
  Coordinated cross-team emergency patching efforts. Collaborated with researchers and engineers across
  3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
  to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet. 
  Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.
full-stack software engineer @ Global Prior Art (3 years)

  Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
  apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
  Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.
maintainer @ Zinit (5 years)

  Develop and maintain a zsh plugin manager on Github with  4k stars. Implemented unit tests, 
  containerization, bug fixes, and new features. 
  See: https://github.com/zdharma-continuum/zinit
contributor @ Open-source documentation (5 years)

  Contributed hundreds of documentation corrections and enhancements to 400+ open source projects.



Fellow community members have noticed and complained about your repeated posting and deleting of comments. Please stop or we'll have to ban the account.


  Location: Nashville, TN
  Remote: true
  Willing to relocate: boston || nashville
  Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot, 
                Redis, K8s, Open Service Broker, {,non}relational & vector dbs, shared services, SOA 
  Email: mvdoster@gmail.com
resume: http://linkedin.vdoster.com

sr. cloud software engineer @ Mastercard (5 years)

  Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
  to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to 
  deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
  in Azure for application teams wanting to perform globally. Designed platform components using 
  Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the 
  platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.
api/devops software engineer @ Harvard Medical School (2 years)

  Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
  Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
  Coordinated cross-team emergency patching efforts. Collaborated with researchers and engineers across
  3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
  to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet. 
  Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.
full-stack software engineer @ Global Prior Art (3 years)

  Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
  apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
  Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.
maintainer @ Zinit (5 years)

  Develop and maintain a zsh plugin manager on Github with  4k stars. Implemented unit tests, 
  containerization, bug fixes, and new features. 
  See: https://github.com/zdharma-continuum/zinit
contributor @ Open-source documentation (5 years)

  Contributed hundreds of documentation corrections and enhancements to various open source projects.
  See: https://github.com/vladdoster


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