Fractional Engineering Lead
Short, fixed-scope engineering leadership
Clear decisions. Fewer surprises. Predictable execution.
After 90 Days
- Ownership is clear. Decisions move faster.
- Production stabilizes. Fewer late surprises.
- The team agrees on priorities. Important work gets fully done.
When Teams Bring Me In
This works best when the team wants to improve how work gets done.
Decisions Drift
Decisions drift without clear ownership, criteria, or risk tolerance.
Production Is Unpredictable
Incidents repeat. Fixes treat symptoms, not causes. Systems are hard to observe.
Releases Require Coordination
Validation effort grows, but confidence does not. Releases rely on manual steps.
Common Signals
How a Sample 90-Day Engagement Works
I work one to two days a week for three months. We choose one execution issue and fix it, without changing ownership.
Understand How Work Gets Done
I talk with the team, review artifacts, and look at how work flows through development, testing, releases, and production.
Choose the Change
We look at the options and choose one that balances impact and risk.
Make the Change and Step Back
We make the change together and collect metrics to understand how well it worked.
Engagement Style
This work strengthens execution without changing ownership or adding overhead.
Bounded
Engagements are fixed-scope. New work begins only when a new scope is set.
Alongside Leadership
I work alongside existing leadership. I don't add delivery capacity or replace managers.
Framework-Agnostic
Scrum or Kanban when useful. The team uses a process that fits the work.
About Stefan Kroscen
I am an engineer by training and focus my work on improving execution in software systems that matter to the business.
I spent more than two decades at ESPN and Disney as an engineer, architect, and later a Director of Software Engineering. That work involved designing and evolving revenue-critical platforms, supporting multiple teams, and making technical decisions that held up in production.
More recently, I founded and built a financial analysis application for individual investors. The work was hands-on and end to end, including system design, implementation, deployment, and operation. It included selective use of AI, with explicit attention to validation, cost awareness, and predictable behavior. I also explored protocol-level integration through building an MCP server and client outside that product.
Technical focus
I enjoy engagements where this technical depth is directly useful: clarifying architecture, strengthening delivery paths, and reducing execution risk in real systems.
Next Step
If a fixed-scope engagement makes sense, let’s talk. We’ll review your situation and outline how the work would run.