Technology lists are easy to write and hard to evaluate. A stronger technical resume shows the conditions in which you used those tools: the users, constraints, tradeoffs, incidents, migrations, and decisions behind the work.

Show the outcome and the system

“Built APIs in Go” names an activity. “Moved invoice generation to an asynchronous Go service, removing request timeouts during month-end processing” gives the reader a system, a reason, and an effect. Use metrics when you have reliable ones; concrete operational detail also carries weight.

Include operations when you owned them

Shipping is only part of software work. On-call practice, observability, incident response, capacity planning, and cost control show that you understood what happened after deployment. Mention your role rather than implying sole ownership of a team effort.

Be precise about AI-assisted work

“Used AI” tells the reader almost nothing. Name the workflow and your responsibility: retrieval design, evaluation datasets, prompt versioning, latency controls, privacy review, or human approval. If you used a coding assistant, describe the engineering result, not the existence of the assistant.

Security belongs in ordinary engineering

You do not need a security title to mention threat modeling, access control, dependency remediation, audit work, or safe data handling. Include it where it affected a design or release. Avoid claiming “security best practices” without showing which practice and why.

Collaboration needs an artifact or decision

Replace “worked cross-functionally” with the actual interaction. Did you write an RFC with the data team, narrow a launch with product, pair with support during an incident, or explain a risk to compliance? The detail makes the collaboration believable.

Keep the stack readable

Group tools by type and trim anything you have not used recently enough to discuss. The experience bullets should establish depth; the skills section is an index, not a substitute for one.