Talentmate
India
18th August 2026
2608-60079-20
About the
Role
Staff SDETs
at Priority are domain-level test-infrastructure architects. You own how
the test infrastructure is structured for your domain, decide how it evolves,
and are accountable for itslong-term reliability. This is the first level where
infrastructure ownership is explicit and consequential — you dont just build
well within the domains frameworks; you own them, evolve them, and hold the
standards that keep them trustworthy.
Youre
hands-on. Still. At
Priority, the Staff title doesnt graduate you out of the framework code— it
puts you in the hardest infrastructure work in the domain, and keeps you close
to the pipelines and the flaky gates that eat the teams time, so your
direction stays grounded in reality. You lead by example — your framework code,
your review bar, your AI-native practice, and your engineering judgment set
what the domains automation looks like at its best.
Youre the
infrastructure authority for your domain: you write the architecture decision
records(ADRs) for the significant infrastructure choices, you set the
automation standards teams build within, you own the CI/CD quality-gate design
for the domain, and you drive AI-native test practices where agents generate,
execute, and triage on infrastructure you built for exactly that.
Your
primary partnerships live on the team as a quality-engineering trio. The Staff Quality Engineer for
your domain owns what the platform must prove and why — the strategy. You own
the engineering that executes that strategy at scale. Staff Software
Engineers own the code being tested — you partner with them on designing
for test ability, contract testing, and the practices that keep automation
trustworthy. Together, the three of you — Staff SDET, Staff QE,Staff SE — are
the domains quality-engineering trio. You solve hard problems together, not by
throwing artifacts over the wall.
You know
the customer and business outcomes your domains automation protects — not
slide-deep, but real. Regression cycle time is your flagship business metric:
every hour you shave off the domains regression cycle is an hour teams get
back to ship to customers. You frame infrastructure investment (build vs. adopt
vs. retire) deliberately, in business terms — hours saved, defects caught, gate
false-positive rate driven down — because thats how the case for
infrastructure work wins roadmap space. The business and customer context
reaches you through your QE and SE partners plus your own direct time with the
data — production defect trends, the incidents your automation should have
caught, the customer flows the domain depends on.
When the
domain hits a high-pressure moment — a broken pipeline blocking a critical
release, agate failure at a defining delivery, a flaky infrastructure issue
stalling the teams work — youre
the
engineer the team looks to for the fix. You show up, take the lead, and stay on
it until its resolved, regardless of time of day, day of week, or weekend. The
hours dont matter; the outcome does.
Your work —
the infrastructure health, the ADRs, the standards you set — contributes to the
domains contribution to the workstream Engineering Maturity Model (EMM) score.
Developing SDETs in the domain toward design ownership is part of the job —
some grow past you into bigger roles.
What Youll
Do
Stay hands-on — design, build, review, and operate the parts of the domains
test infrastructure that matter most; lead by example, not by exhortation.
Own the domains test-infrastructure architecture: frameworks, test data, CI/CD
integration patterns, and quality gates; write infrastructure ADRs others cite,
and keep an infrastructure-debt register.
Partner with the Staff Quality Engineer on strategy — they own what must be
validated and why; you own the engineering that executes it — and with Staff
Software Engineers on designing for test ability, contract testing, and
framework adoption; the three of you are the domains quality-engineering trio
· Absorb
customer and business context through your QE and SE partners plus your own
direct time with the data — production defect trends, incidents your automation
should have caught, the customer flows the domain protects.
· Frame
infrastructure investment (build vs. adopt vs. retire) deliberately, in
business terms —hours saved, defects caught, gate false-positive rate — so the
case for infrastructure work wins roadmap space
· Drive
AI-native test practices — agents generate, execute, and triage on
infrastructure you built for it; be the most AI-forward test engineer in the
domain, by visible evidence
· Own the
domains quality gates so each one earns its place — protecting releases
without taxing them; false-positive gate failures trend toward zero.
Own the domains automation health; map coverage to the QEs risk strategy and
manage automation debt as a first-class engineering concern
· Set
reliability targets for the domains test infrastructure and meet them;
engineer away recurring failures; treat pipeline health like service health —
monitored, alerted, postmortemed
· Make your
test infrastructure itself usable by machines — documented, versioned, and
invokable by agents; own a self-service test-platform experience for the
domain, with friction measured and driven down.
· Engineer
security and compliance checks into the domains pipelines — automated, not
bolted on — including data-classification and retention checks
· Lead during
the domains high-pressure moments — a broken pipeline blocking a critical
release, a gate failure at a defining delivery — regardless of time of day, day
of week, or weekend
· Document
the infrastructure so it survives any individual leaving, including you;
develop SDETs in the domain toward design ownership
What
Success Looks Like
· The
domains test infrastructure is documented and teams build within it; your ADRs
get cited the infrastructure-debt register exists because you maintain it
· Regression
cycle time in the domain trends down measurably on your watch — the teams that depend
on your infrastructure ship faster because of what you built.
· Flakiness
and pipeline friction trend down, and gate false-positive rate approaches zero
· AI agents
validate safely on infrastructure you designed for them
· You, the
Staff QE, and the Staff SEs on the team operate as a real quality-engineering
trio —no throwing artifacts over the wall, no siloing
· SDETs in
your domain grow into design ownership; some grow past you into bigger roles
· The
domains contribution to the workstream EMM score trends up on your watch —
because the infrastructure is measurably better, not because you graded
generously
· If you took
a month off, the infrastructure wouldnt skip a beat
What Were Looking For
Nice to Have
| Role Level: | Executive-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | india ,Chandigarh |
| Company Website: | https://prioritycommerce.com/ | Job Function: | Software Development |
| Company Industry/ Sector: |
Software Technology Engineering | ||
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