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A QA engineer owns quality strategy end to end: the test plan that decides what gets covered, the exploratory sessions that find what the plan missed, the automation judgment that picks what is worth scripting, and the defect lifecycle that gets bugs from reproduction to resolution. The role exists because shipping a serious product demands a single owner of quality across manual, automated, accessibility, and performance concerns. At Terminal, QA hires are the engineers product teams reach for when one person needs to hold the whole quality picture without dropping into pure automation engineering, pure manual testing, or pure test infrastructure work.

Quality strategy and test planning: The engineer's first responsibility is deciding what to test and why.

• Risk-based prioritization that puts coverage where defect impact and likelihood are highest

• Test pyramid, test trophy, or test diamond shape picked deliberately for the codebase, not by default

• Coverage decisions tied to user paths and business outcomes, not line-coverage targets

• Test plans that read clearly to product, engineering, and leadership in the same document

Test design techniques: The discipline that separates a senior QA engineer from a clicker.

• Boundary value analysis and equivalence partitioning that catch off-by-one and class-of-input bugs without 200 redundant cases

• Decision tables for combinatorial business rules and state transition testing for stateful flows

• Pairwise testing to compress a parameter explosion into a maintainable matrix

• Negative path design that goes beyond happy-path validation

Exploratory testing: The work that finds the bugs the test plan never anticipated.

• Session-based test management with timeboxed charters, not aimless clicking

• Charter design that turns a fuzzy product area into a focused 90-minute investigation

• Defect discovery rate tracked across sessions to spot which areas are still fragile

• Note discipline that lets another engineer reproduce a found defect from the session log

Automation judgment: Senior QA engineers know what to automate and, more importantly, what to leave manual.

• High-level familiarity with Playwright, Cypress, Selenium, and Appium without owning the framework day to day

• Refuse to automate flaky UI, rapidly-changing surfaces, or low-value paths where the maintenance cost outweighs the catch rate

• Partner with QA Automation Engineers or SDETs when the team needs deep framework work

• Keep manual coverage on accessibility, exploratory, and visual-judgment areas where humans still outperform scripts

Defect lifecycle ownership: The bug is not closed until it is reproducible, triaged, and verified after the fix.

• Reproduction steps tight enough that a developer can follow them without asking a question

• Severity versus priority called separately, with the trade-off explained when they diverge

• Triage rhythms that keep the backlog honest rather than letting it grow into background noise

• Verification after the fix on the actual build that will ship, not the staging environment from two days ago

The case for a QA generalist is almost always a team-shape argument. When the product needs one person owning all quality concerns without splitting the work across specialists, hiring a QA engineer who lives across manual, automation oversight, accessibility, and performance is the highest-leverage move. The case for a specialist shows up when the work has narrowed to one of those concerns full-time.

One engineer, full quality coverage: When the team is too small to staff multiple QA specialists.

• Seed and Series A teams shipping a single product where one QA owner is the only realistic shape

• Mid-size teams where the engineering org has outgrown developer-only testing but cannot justify a QA org chart yet

• Companies adding a QA function to an existing engineering team without doubling headcount

• Solo quality owners on a product team where the alternative is no dedicated QA at all

Quality strategy decisions need a single owner: When the trade-offs between automation, manual, and exploratory cannot be made by committee.

• Deciding what enters the regression suite and, harder, what gets deleted from it

• Calling the automation pyramid shape with judgment about which layer absorbs new tests

• Owning accessibility, performance, and security testing as part of the release definition of done

• Coordinating with developers on unit-test ownership so QA effort lands where it actually changes outcomes

Cross-cutting concerns demand a generalist: Specialists do not own this surface area together.

• Accessibility audits against WCAG 2.2 alongside functional regression for the same release

• Performance testing oversight with k6, JMeter, or Gatling without owning the framework full-time

• API contract validation alongside UI testing on the same user flow

• Release sign-off across functional, non-functional, and exploratory dimensions in a single voice

AI Fluency multiplier: Agentic AI workflows have changed how QA engineers work, and the gains compound across the whole quality function.

• An AI Enabled engineer running Claude Code or Cursor with human-in-the-loop review can generate test cases from a user story, scaffold the automation, and draft the exploratory charter in a single session

• An AI Native engineer orchestrates parallel agents to triage a regression suite, reproduce flaky failures, and propose fixes for the underlying tests in the same pull request

• AI-driven exploratory testing surfaces edge cases that session-based charters alone would miss

• Terminal classifies every engineer in AI Assisted, AI Enabled, or AI Native tiers and surfaces those signals at hire time

When to hire a specialist instead: Generalists break down at the edges.

• Hire a QA Automation Engineer when the team already has a substantial automation suite that needs dedicated framework development

• Hire a Manual QA Tester when the product is highly exploratory or has heavy accessibility and UX validation needs

• Hire an SDET when the team needs test infrastructure built: hermetic fixtures, test environments, contract test platforms

• Hire a QA engineer when the team needs one person owning the whole quality picture, not a deeper bench on any single dimension

A senior QA engineer's job description is broader than the job posting suggests, but the day-to-day is concrete. Here is what they actually own.

Test planning and risk assessment: The default unit of work at the start of every release.

• Translate product specs and acceptance criteria into a test plan that names the risk and the coverage for each area

• Identify what to test manually, what to automate, and what to leave to developer-owned unit tests

• Pair with engineering on testability before code is written, not after the feature is in code review

• Publish the plan in a place product, engineering, and leadership actually read

Exploratory and session-based testing: The work that finds defects the test plan did not predict.

• Design charters that target a focused product area for a 60 to 90 minute timebox

• Run sessions with structured notes, screenshots, and reproduction steps captured in real time

• Track defect discovery rate per session to spot which areas remain fragile across releases

• Hand the session log to developers as actionable defect reports, not narrative summaries

Regression suite curation: The senior bar is keeping the regression suite honest as the product evolves.

• Add coverage for every shipped defect so the same bug cannot return without detection

• Delete tests that no longer match the product, the architecture, or the user paths that matter

• Triage flaky tests with the engineer who owns the underlying feature, not in isolation

• Keep the suite fast enough that engineers run it before pushing, not after

Accessibility audits: Accessibility is part of the release definition of done, not a separate workstream.

• Run WCAG 2.2 AA audits on new features before they reach the regression suite

• Integrate axe-core, Lighthouse accessibility checks, or pa11y into CI for catch-as-you-code feedback

• Test with real assistive technology (VoiceOver, NVDA, JAWS, TalkBack) on the critical user paths

• Document keyboard interactions and ARIA decisions for the engineers who will maintain the components

Performance and load testing oversight: The engineer owns the strategy even when they do not own the framework.

• Define performance acceptance criteria with engineering and product before load testing starts

• Run or oversee load tests with k6, JMeter, or Gatling depending on the team's stack

• Interpret latency, throughput, and error-rate results in product terms, not just engineering ones

• Coordinate with backend and infrastructure engineers on capacity planning when results push back on the design

API and integration testing: Quality stops at the user only if the engineer never looks at the API.

• Test API contracts with Postman, RestAssured, or Bruno alongside the UI flows that consume them

• Schema validation against OpenAPI or GraphQL introspection to catch contract drift before release

• Negative path testing on authentication, authorization, rate limiting, and input validation

• Integration coverage for third-party services that the product depends on in production

Defect lifecycle and release readiness: The QA engineer is the last voice on whether the release ships.

• Reproduce, triage, and assign severity and priority for every defect entering the queue

• Drive release readiness reviews with product and engineering using objective data, not gut calls

• Verify fixes on the build that will ship, including on the device or browser matrix that matches the user base

• Maintain a post-release feedback loop so production defects feed the next test plan

The skill bar separating a senior QA engineer from a generalist is depth across the quality discipline, not breadth into pure automation or pure development. Terminal screens for both. Only the top 7% pass our screening, and the skills below are the ones that come up in technical interviews.

Test strategy and design: Real depth in test design, not bullet-point familiarity.

• Test pyramid, trophy, or diamond chosen for the actual codebase and team shape

• Boundary value analysis, equivalence partitioning, decision tables, state transition testing, and pairwise testing applied without a reference

• Risk-based prioritization that maps coverage to defect impact and likelihood

• Coverage models that read in user-path terms, not line-coverage percentages

Exploratory testing fluency: Production experience running session-based test management, not ad hoc clicking.

• Charter design that turns a product area into a focused, timeboxed investigation

• Session notes that survive the engineer who wrote them and reproduce defects without a follow-up call

• Defect discovery rate tracked as a signal of where the product is still fragile

• An opinion on when exploratory beats scripted, and when scripted beats exploratory

Automation toolkit at a working level: Senior QA engineers read and write automation code without owning the framework.

• Playwright, Cypress, or Selenium for UI automation across the critical paths

• Appium for mobile when the product ships to iOS and Android

• Postman, RestAssured, or Bruno for API automation alongside UI coverage

• Comfort writing a test in JavaScript, TypeScript, or Python without waiting on an SDET

Accessibility expertise: Beyond linting rules: actual conformance and assistive-technology fluency.

• WCAG 2.2 AA criteria and the ability to audit a page against them without a checklist

• Screen reader testing with VoiceOver, NVDA, JAWS, or TalkBack on the critical paths

• axe-core, Lighthouse, or pa11y integrated in CI for automated catch-as-you-code feedback

• Knowledge of where automated tools stop being useful and manual testing has to start

Performance and load testing literacy: The engineer can run, oversee, or interpret load tests without owning the framework full-time.

• k6, JMeter, or Gatling for backend and end-to-end load coverage

• Latency, throughput, error rate, and saturation interpreted in product terms

• Profiling tools fluent enough to read a trace when the slow path needs investigation

• Capacity planning judgment that pushes back on a design when load testing results demand it

API and contract testing: API testing is part of the quality discipline, not a separate skill set.

• Schema validation against OpenAPI, GraphQL introspection, or Protocol Buffers depending on the stack

• Authentication, authorization, rate limiting, and input validation tested as deliberately as the happy path

• Contract tests at service boundaries where downstream consumers depend on the API shape

• Negative path coverage that catches the bugs the integration tests miss

Defect lifecycle discipline: Knowing how to file a defect is as important as knowing how to find one.

• Reproduction steps tight enough that a developer follows them without asking a question

• Severity versus priority called separately, with the trade-off explained when they diverge

• Triage rhythms that keep the backlog honest rather than letting it grow into background noise

• Post-release defect data fed back into the next test plan, not lost in a closed ticket

AI Fluency: The capability shift that is reshaping engineering output, including quality work.

• Daily use of Claude Code, Cursor, GitHub Copilot, or comparable AI coding assistants for test case generation and automation scaffolding

• Comfort orchestrating agents for regression triage, flaky test analysis, autonomous bug reproduction, and exploratory test suggestion, with human-in-the-loop review

• AI Enabled or AI Native tier per Terminal's standard. The engineer either uses AI tools to compound their output significantly, or builds agentic quality workflows directly

Soft skills that matter: The non-technical bar is real.

• Clear written communication. Most QA work happens in defect reports, test plans, and async release reviews

• Pragmatism on scope. Knowing when coverage is enough and when the release should wait

• Diplomacy under pressure. Saying no to a release without burning the relationship with engineering or product

• Mentorship instinct. Senior QA engineers raise the quality floor of the whole team, not just the test suite