Hiring Software Engineers
Hiring software engineers is the process of defining the work, gathering job-related evidence from candidates, and making a documented selection decision. A sound process tests what the role needs while giving candidates a consistent chance to show it.
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Intro
Hiring Software Engineers
Hiring is an engineering decision made with incomplete information. You need to predict how someone will perform after joining a real team. A résumé, conversation, or coding task gives you only a sample.
The answer is not a longer interview loop. It is a clearer chain from the work to the decision:
- Define the outcomes and tasks the role owns.
- Identify the competencies required on entry.
- Choose assessments that collect evidence about those competencies.
- Define rating criteria before meeting candidates.
- Give comparable candidates a consistent process.
- Combine recorded evidence into a documented decision.
- Review results and revise weak parts of the process.
This chain is the central mental model for the course. Each link must connect to the next. A fashionable coding problem is weak evidence when it does not represent important work in the role. A thoughtful interview answer is weak evidence when no rating rule explains what it demonstrates.
Start with the job
A job analysis describes the tasks people perform and the competencies those tasks require. A competency is a measurable pattern of knowledge, skill, ability, behavior, or another characteristic needed for the work.
Write the role around outcomes and observable tasks. “Improve service reliability” is an outcome. “Diagnose production failures and design safe changes” describes work that supports it. “Brilliant engineer” is neither.
Separate entry requirements from capabilities that your team can teach. OPM guidance says selection should focus on competencies applicants need when they enter the job. Testing a tool that your team expects people to learn later can reject qualified candidates without measuring readiness for the actual role.
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Sources
- https://www.opm.gov/policy-data-oversight/assessment-and-selection/job-analysis/
Supports
- Job analysis as the foundation for assessment and selection decisions
- Links among job tasks, competencies, and selection procedures
- https://www.opm.gov/frequently-asked-questions/assessment-policy-faq/job-analysis/are-all-competencies-rated-as-important-to-job-performance-appropriate-for-selection-purposes/
Supports
- Distinction between competencies required on entry and those learned after selection
- Selection focus on competencies needed on the first day
- https://www.opm.gov/policy-data-oversight/assessment-and-selection/assessment-strategy/
Supports
- Assessment strategy beginning with critical competencies from job analysis
- Standardized and documented assessment administration
- Job relevance, validity evidence, applicant reactions, and realistic job previews
- https://www.opm.gov/policy-data-oversight/assessment-and-selection/structured-interviews
Supports
- Definition and characteristics of structured interviews
- Predetermined questions, common order, and shared rating standards
- https://www.opm.gov/policy-data-oversight/assessment-and-selection/structured-interviews/guide/
Supports
- Development of questions, probes, rating scales, and interview documentation
- Interviewer training, behavioral notes, and defensible ratings
- Independent panel ratings before discussion and consensus
- https://www.eeoc.gov/laws/guidance/employment-tests-and-selection-procedures
Supports
- Tests and selection procedures under United States federal anti-discrimination laws
- Job relevance, disparate impact, disability, and accommodation considerations
- https://www.eeoc.gov/laws/guidance/questions-and-answers-clarify-and-provide-common-interpretation-uniform-guidelines
Supports
- Total selection process, adverse impact, and validation concepts
- Content validity based on important work behaviors and job analysis
- Consideration of alternative selection procedures
- https://github.blog/developer-skills/career-growth/how-github-does-take-home-technical-interviews/
Supports
- GitHub's use of work-resembling pull-request tasks, candidate tools, and time limits
- Automated tests, anonymized review, rubrics, and scorecards in its described process
- https://github.com/sindresorhus/awesome
Supports
- Starting point for awesome-list discovery
- https://github.com/engineering-management/awesome-engineering-management
Supports
- Discovery of the Manager's Handbook and Carta hiring resources
- Discovery of the related engineering-management resource collection
- https://github.com/charlax/engineering-management
Supports
- Discovery of GitHub's take-home case study and the Guardian coding-exercises project
- Curated hiring sections for engineering managers
- https://themanagershandbook.com/hiring-and-onboarding/hiring-101
Supports
- Handbook navigation across role proposal, sourcing, interviews, closing, and onboarding
- Its standardized hiring artifacts and interview guidance
- https://github.com/guardian/coding-exercises
Supports
- Open coding exercises used in the Guardian engineering recruitment process
- Candidate information and in-person and remote interviewer process materials
- https://carta.com/blog/how-to-hire/
Supports
- Carta's stated hiring principles and heuristics
- Context for comparing practitioner judgment with structured assessment guidance