Role Summary
We translate strategy into running software. You will build thin slices fast, validate with users, and harden winners into stable services.
What You Will Do
- Scope PoC from business intent with clear acceptance criteria
- Ship vertical thin slices across UI, API, data, and deployment
- Instrument usage, latency, and errors to validate or stop ideas quickly
- Evolve PoC to pilot to production through iterative hardening
- Align models with the domain using DDD and bounded contexts
- Operate what you build with CI, observability, and repeatable templates
How You Work
- Apply Agile with weekly demos and short decision logs
- Use Systems Thinking to map flows, constraints, and feedback loops
- Practice DDD for clear domains and anti-corruption layers
- Prefer 80 20 solutions that move the target metric
- Document with concise ADRs and runnable readme first repos
- Design for security and cost with least privilege and right sizing
- Structure communication with pyramid logic and crisp so what summaries for stakeholders
Technology Consulting Responsibilities
- Run discovery to define value hypotheses and leading metrics
- Translate goals into architecture choices with trade off and TCO
- Shape a roadmap that balances quick wins and foundations
- Define SLOs, runbooks, and basic governance
- Advise build versus buy and vendor selection with criteria
- Enable client teams with handover plans and checklists
- Facilitate decision forums that surface risks, options, and next actions
Preferred Stack
- Languages: Python and JavaScript
- Backend: FastAPI or Flask, when needed
- Frontend: React with utility CSS
- Data: Postgres, Redis, object storage, lightweight analytics
- Cloud: Azure or GCP or AWS or Alicloud with managed PaaS first
- DevOps: Docker, GitHub Actions, IaC basics, OpenTelemetry class tooling
Qualifications
- Proven full stack delivery from PoC to production
- Skill in breaking work into thin slices and shipping weekly
- Comfortable with Agile, Systems Thinking, and DDD
- Practical experience on at least one hyperscalers
- Effective communication with product and domain stakeholders
- Bachelor's degree in CS or equivalent practical experience
- Working experience with AI or machine learning models is a plus
Placement: Menteng, Central Jakarta