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Open nowPosted 100 days ago

QA Lead /SDET Lead

TTEC Digital61 open roles

Where
Hyderabad
Work mode
Hybrid
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Your applicationOpen nowQA Lead /SDET LeadTTEC Digital · Hyderabad

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. TTEC Digital postings stay open a median of 45 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 100 days ago

TTEC Digital median: 45 days open

The posting

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

TTEC Digital seeks a QA/SDET Lead to join our team. This role is a full-time and fully remote opportunity!

The work:

We’re an innovation group inside TTEC (NASDAQ: TTEC), building the next generation of AI CX tools — automated QA, conversational analytics, knowledge assist, and agentic automation — for the world’s biggest brands and the millions of customers they serve. We move like an early-stage startup, backed by the scale, distribution, and enterprise client base of a company that’s been obsessed with customer experience since 1982.

This is the rare seat where getting in early actually matters at scale. TTEC is a public company at an AI inflection point. Ship the right products into thousands of live enterprise deployments and you don’t just move a metric — you move the trajectory of the company and the value of the stock. The leverage is real, and the work compounds.

Who we hire — the DNA:

  • Self-starters and do-ers with grit — hackers in the best sense, with a startup mentality and a show-me bias: working software over slides, prototypes over proposals.
  • Want to learn, love new technology. This platform is built on the latest technology, and that technology changes and advances monthly. You adapt to change quickly — new tools, new models, new priorities — without drama.
  • Master debuggers and problem solvers. You love solving complex problems, you think outside the box, and you multitask across domains without losing the thread.
  • AI-native. You work with AI on all levels — you understand the technology around you (LLMs, SLMs, RAG, knowledge graphs, agents, training, eval) and you use AI tools daily to exponentially increase your velocity.
  • Distributed-systems literate. High-efficiency, event-driven, low-latency systems are our world; you understand what that demands.
  • Innovators who ship. You demonstrate ideas easily, fail fast, and move forward. You make committed timelines and hit them.
  • You consider yourself exceptional — and you like winning. So do we.
  • No one will have everything in this description. We're looking for well-rounded, smart people who move fast.

What You Will Do:

The role:

  • Automation-first quality engineering for a platform combining voice, desktop, intelligence, and AI.
  • We emphasize AUTOMATION — we do not do manual QA here.
  • Weekly code deploys are the heartbeat: when a QA branch is ready, regressions run fast, results report fast, and the train doesn't wait.
  • Startup environment: 1-week sprints, fail fast, move forward.

What you'll own:

  • Quality strategy across the 1-week cadence as surface area grows
  • The cross-service contract suite gating production
  • Future (phase 2) QA hires
  • Sets the automation patterns by shipping them; raises the QA engineers around you.
  • Automation coverage for your squads' services
  • Fast-turnaround regression suites gating weekly deploys
  • Rapid detection and reporting
  • Quality signal in minutes, not days
  • Load/stress coverage for your services' latency budgets
  • Your committed timelines.

Who you are:

  • Keeps the respect of senior engineers through technical credibility; comfortable telling a tech lead their branch isn't ready — and delivering that fast, with data.
  • Show-me mentality on committed timelines: quality visible in every Friday demo, never the bottleneck.
  • Chaos/failure-injection mindset — kill a service, drop the bus, flap the network; prove the platform degrades gracefully. Self-starter with grit and a show-me mentality.
  • You consider yourself exceptional, love new technology, adapt fast when the stack changes under you, and use AI tools daily to multiply velocity — including AI-assisted test generation.
  • A team player who likes winning, and a partner to dev, not a gate: when something breaks, you help the dev team isolate it fast.

What You Will Bring:

  • The QA/SDET Lead role builds upon our Senior QA/SDET profile by adding team leadership responsibilities. This is a player-coach position where the individual leads the quality engineering function while remaining hands-on with framework design, automation architecture, and the team's most complex technical challenges. 8+ years QA/SDET; you have built a test-automation foundation from scratch for a fast-shipping product — you'll build ours before scaled module QA exists.
  • Master issue-isolator and root-cause debugger — you narrow a failure to the service, the commit, the event; dev teams love your bug reports because they're half the debugging done.
  • Fast regression discipline — parallelized suites, smart test selection, results in minutes; quality at weekly-deploy speed without becoming the bottleneck.
  • Comfortable in high-load testing environments — load, stress, and soak testing of high-throughput, low-latency systems; you know how to find the knee of the curve.
  • Experience testing event-driven systems, WebSocket flows, and browser extensions — ordering, race conditions, real-time state.
  • CI-native mindset — tests wired into trunk-based CI/CD; flake management as a first-class discipline (a flaky suite is a broken suite).
  • Contract/API testing between services; synthetic data and traffic generation (simulated calls, event streams, audio) for repeatable real-time testing.
  • Testing AI outputs — eval-style assertions for non-deterministic LLM/ML features — a strong plus.
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