Software Engineer biography playbook
Specific systems, specific scale, specific shipping cadence.
What the reader is hiring this bio to do
Engineers reading another engineer's bio are looking for three things: the systems you've touched at scale, the specific languages or stacks you've shipped, and whether you can be trusted to make decisions in production. Marketing copy is the fastest way to lose this audience.
Credibility signals to include
- Specific systems by name, with the scale you operated them at (requests per second, terabytes, user counts).
- Open-source contributions with the project named and the role specified (committer, maintainer, contributor).
- Published technical work — blog posts, conference talks, RFCs — with venue and topic.
- Years of experience, but only when paired with the domain or stack the experience was in.
- Named companies, named teams, named systems shipped.
Avoid in this industry
- 'Passionate about clean code.' Every engineer thinks they are.
- 'Full-stack ninja / rockstar / 10x engineer.' Career-ending phrasing.
- Listing every language you have ever written. List the ones you would be paid to write today.
- Hyperbolic adjectives ('cutting-edge', 'world-class') with no specifics behind them.
- Failing to indicate seniority — staff, senior, principal, IC vs. manager.
Structure
Preferred structure for the bio
A reliable order that performs in this field. Adjust to the venue.
- 1Current role and team, with one specific system or surface you own.
- 2Most recent prior stack and one shipped system from it.
- 3One sentence on a relevant published or open-source contribution.
- 4Years of experience and the domain the experience is concentrated in.
- 5Personal sentence: where you live, what you tinker with, where to read your writing.
Tone
How this industry's bios should sound
Engineer bios should sound the way an engineer writes a commit message: declarative, specific, low ornament. Adjectives should be earned. Numbers should be exact. Avoid first-person superlatives.
Lengths
Recommended lengths by venue
Openings
Opening formulas that work in this field
Name the system you currently work on. The system supplies the context for everything else.
Jamie is a senior infrastructure engineer at Vercel, where she leads the platform's edge-compute team.
Name the domain when the system name would not resonate outside the company.
Jamie is a senior engineer working on distributed inference at a U.S. AI lab, with twelve years of prior experience in payments infrastructure.
Open with the project where you have public standing.
Jamie is a core contributor to libSQL and a staff engineer at Turso, where she works on the company's edge replication layer.
Worked examples
One hundred words. Fifty words.
Priya Raman is a staff engineer at Anthropic, where she leads inference infrastructure for the company's hosted models. Previously she was a senior engineer at Stripe, working on the Connect platform's payment routing, and before that the second engineer at a small payments startup acquired by Square in 2018. She holds a PhD in distributed systems from Carnegie Mellon and is a maintainer of two open-source projects in the inference stack. Priya lives in San Francisco, mentors first-generation engineering students through CodePath, and posts occasional notes on practical inference performance at priya.dev.
Priya Raman is a staff engineer at Anthropic on the inference team, previously at Stripe and a Square-acquired payments startup. She holds a PhD in distributed systems from CMU and maintains two open-source projects in the inference stack. She writes at priya.dev.
Vocabulary
Words to reach for — and words to handle with care
Cross-references
Frameworks and voices this playbook pairs with
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