Stage profile · Individual contributor

Senior Engineer

Clarifies ambiguous problems, weighs cross-component options, and drives project outcomes while making authority and decision boundaries explicit when proposing plans or pivots.

Read these as observable expectations across repeated work, not as a checklist for a single project. First distinguish whether the role expects the work, whether the person had a chance to demonstrate it, and whether the evidence supports the claim. Lack of opportunity or evidence is not itself a negative judgment. AI use is judged by verified outcomes, sound boundaries, and the quality of decisions; choosing not to use AI can be sound.

Four complementary evaluation lenses

These lenses and the A–H capability map answer different questions. One experience may provide evidence across lenses, but do not count the same result multiple times.

Business outcomes

Understand the people served and intended outcomes, make evidence-based trade-offs, and verify contribution. For platform, infrastructure, reliability, and safety work, cost, efficiency, risk reduction, and internal-user outcomes count; direct revenue ownership is not universal.

Domain expertise

Apply relevant knowledge to diagnose, design, implement or review, validate quality, and make evolution decisions. The professional leaves required depend on the role.

Team influence

Help others work effectively through communication, coordination, review, shared methods, coaching, or organizational mechanisms. IC influence is not measured by direct reports; managers also own formal people responsibilities.

Human competitiveness

Observe questioning, reasoning, learning transfer, judgment updates, relationship handling, and recovery in work. This is not a fixed personality or potential verdict; do not infer it from extroversion, fluent speech, or willingness to overwork.

Evidence to verify

Use this structure to understand a real example. Strong judgment can appear in a failed project; a successful result alone does not prove personal causation.

  1. Context and goal
  2. Role and authority
  3. Judgment and trade-offs
  4. Actions and collaborators
  5. Outcome and guardrails
  6. Attribution limits
  7. Counterevidence and adjustment

The labels beside capability references describe that capability’s role in this standard; they do not make the whole standard optional. Any role or scenario condition is stated separately.

Business outcomesView progression
  1. Turns an ambiguous request into a verifiable user or business outcome with baselines and guardrails.

    Evidence to inspect: The team can explain why, how success is measured, and when to stop or adjust.

  2. Uses user evidence, market or operational constraints to align cross-functional teams on high-value work.

    Evidence to inspect: Priorities reflect opportunity cost and are revisited against outcomes.

  3. Assesses contribution to outcomes and distinguishes causal evidence from correlation.

    Evidence to inspect: Explains metric definitions, observation window, guardrails, and attribution limits.

  4. Proposes phased plans within the owned project or domain, connecting opportunities, outcome measures, investment, and work declined; quarterly is one possible review cadence.

    Evidence to inspect: The plan states outcome hypotheses, capacity constraints, and reprioritization triggers.

  5. When results contradict the premise, reduces, stops, or redirects work within authority; beyond that authority, presents evidence and a recommendation to the decision owner.

    Evidence to inspect: Records include pre-set conditions, evidence, and where released resources went.

Domain expertiseView progression
  1. Designs across component boundaries, balancing domain rules, system constraints, evolution cost, and reversibility.

    Evidence to inspect: Proposal covers boundaries, trade-offs, migration/rollback, and failure paths.

  2. Validates the problem with users and product partners before choosing an implementation.

    Evidence to inspect: Research, prototypes, experiments, or data narrow or invalidate an approach.

  3. Defines quality and security checks for high-impact solutions; where AI is involved, selects evaluation, human review, or non-use according to risk rather than treating adoption as a goal.

    Applies when: The AI portion applies only when the solution or its risks involve AI; assess ordinary quality and security against the actual work.

    Evidence to inspect: Shows evaluation cases, monitoring/escalation conditions, privacy/access controls, or human handoff.

  4. Sets a technical roadmap for the owned domain, balancing architecture, technical debt, and staged migration; includes AI investment only when relevant opportunities, risks, and validation conditions are clear.

    Applies when: AI investment applies only when the domain has a relevant opportunity or risk; a decision not to adopt based on value, total cost, and risk is valid.

    Evidence to inspect: The roadmap includes dependencies, cost, risk, checkpoints, and exit options.

  5. Evolves cross-component domain and data models while preserving definitions, compatibility, and historical meaning.

    Evidence to inspect: Data meaning and migration correctness remain traceable after business-rule changes.

Team influenceView progression
  1. Aligns multiple teams on goals, dependencies, and decision rights without relying on reporting authority.

    Evidence to inspect: Produces an accepted plan, commitments, and escalation path.

  2. Raises team-wide quality through review standards, shared components, or operating mechanisms.

    Evidence to inspect: Rework, incidents, or duplicated implementations decline, not just documentation volume.

  3. Helps peers take on larger problems through delegation with clear boundaries and feedback.

    Evidence to inspect: Others deliver independently and reliance on personal rescue declines.

  4. Identifies capability gaps from project direction and recommends development, collaboration, borrowing, or hiring; authorized owners make staffing and resource decisions.

    Evidence to inspect: Capability gaps connect to work risks, closing actions, and review periods.

Human competitivenessView progression
  1. Makes testable judgments under incomplete information and states confidence, risk, and disconfirming evidence.

    Evidence to inspect: Decision includes explicit assumptions and signals for reconsideration.

  2. Understands partners’ goals and constraints and remains direct, respectful, and trustworthy through conflict.

    Evidence to inspect: Disagreements are discussable and commitments executable without avoiding hard issues.

  3. Reviews outcomes and personal judgment to create learning that changes later behavior.

    Evidence to inspect: A later project uses the changed mechanism and can explain its effect.

  4. Asks questions that distinguish competing hypotheses and prioritizes evidence that could change the decision.

    Evidence to inspect: Explains which question ruled out which hypothesis and how the decision changed.

  5. Recognizes systemic overload and capability limits under pressure, resets commitments, and supports team recovery.

    Evidence to inspect: Early risk reporting, scope changes, and recovery outcomes are traceable.