Career Ops

Learning to Vacancy Pipeline

A practical loop for widening vacancy search only after the related skill block has a project and evidence.

Current stance

Do not overfit to one vacancy. Expand by ranges.

activenow

Base

SQL/PostgreSQL, JavaScript, TypeScript, n8n foundations.

next+data/backend

FastAPI, Pydantic, pandas, API and ETL projects.

later+systems

HubSpot, Salesforce basics, business-system automation.

later+LLM

LLM APIs, extraction, RAG-lite workflows, n8n/Python glue.

optional+deploy

Docker, CI/CD, deployable portfolio proof.

Skill progress becomes search scope only after visible output exists.

repeat

Take one small stage block, not the whole map.

Ship a small project or workflow and attach evidence.

Mark the stage complete and preview new search keywords.

Sync filters, scan vacancies, add good matches to pipeline.

Each stage adds a new vacancy range without discarding the previous one.

Base

automation, n8n, internal tools

Automation Developer, Workflow Developer, Internal Tools Developer, Solutions roles.

Python

python, fastapi, etl, data

Python Developer, Backend Developer, ETL Developer, Analytics/Data Engineer entry points.

CRM / RevOps

hubspot, salesforce, revops

CRM Developer, RevOps Engineer, Business Systems Developer, HubSpot/Salesforce support roles.

AI Automation

llm, openai, rag, ai automation

AI Automation Engineer, LLM workflow roles, data extraction and internal knowledge-base roles.

Cloud

docker, ci/cd, deploy

Better credibility for backend, automation, platform-adjacent, and deployable portfolio work.