The long arc of a senior engineering career — promotions, staying sharp as AI reshapes backend work, and role transitions into ML and AI infrastructure. Written for mid-to-senior backend engineers deciding where the next two years of effort should go.
Growth & promotion
Three pieces that chain: diagnose why the promotion isn’t moving, choose projects that build the missing signals, then go source that work at your current job.
- Framework: Scope, Impact, Visibility — The Three-Axis Promotion Model — start here: which of the three axes is actually blocking you.
- Framework: Aligning Projects With Your Next-Level Goal — turn the diagnosis into a project-selection filter.
- Guide: Finding Projects That Enrich Your Resume — the tactics for finding and volunteering for that work.
Staying sharp in the AI era
For engineers staying in backend/systems roles who need to keep up — not change careers. Decide what’s worth learning, ramp deliberately, and use the tools without letting your judgment atrophy.
- Framework: What’s Durable vs What’s Hype — A Backend Engineer’s AI Investment Guide — the investment filter: what still matters in 18 months.
- Plan: 90-Day AI Ramp for Backend Engineers — the ramp itself, phase by phase.
- Guide: Using AI Coding Tools Without Getting Worse — speed gains without losing the skills that make you senior.
- List: Papers Backend Engineers Should Read — the 20 papers behind the systems you already run.
Transitioning into AI/ML roles
For engineers changing roles, not just keeping up. Three destination roles, three plans: ML engineer sits closer to models and data; AI infrastructure sits closer to GPUs, serving, and the systems layer; forward deployed / AI engineer sits closer to customers and applications, building on top of models — pick by which part of the stack you want to live in.
- Plan: Transitioning to Machine Learning Engineer
- Plan: Transitioning to AI Infrastructure Engineer
- Plan: Transitioning to Forward Deployed Engineer / AI Engineer — also decodes the title chaos: FDE, AI Engineer, Applied AI, and Solutions Engineer often name the same role.
- Guide: Building a Real LLM Project for Your Resume — the proof-of-work piece both plans call for.
- Framework: The AI/ML System Design Interview — What’s Different — the interview round that gates both destinations.
Sustainable engineering
Working with your own mind over a long career — energy, focus, and structure, especially for neurodivergent engineers.
- Guide: Surviving a Full Interview Loop with ADHD — prep systems, day-of tactics, and recovery for 5–6 round loops.