---
title: 'Senior Software Engineer in Test at Replicant'
canonical: 'https://feeny.ai/job/senior-software-engineer-in-test-replicant-canada-490190k7p2sf'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Software Engineer in Test at Replicant

- **Company:** Replicant
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-26
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/Replicant/0329d2dc-4d2a-4aa3-b0a8-ce5746f1f2db/application

**Skills:** Quality Engineering, SDET, Test Strategy, CI/CD, Automation, API Testing, Integration Testing, Regression Testing, AI/NLP Quality Testing, Test Design, Risk-Based Testing, TypeScript, JavaScript, Python, LLM Testing, Generative Product Quality

> The Lead Quality Engineer will shape the quality engineering strategy for Replicant's voice AI platform, leading a team of QA engineers and building AI-driven testing workflows. This role involves defining standards, improving testing strategy, and integrating quality feedback loops to ensure scalable validation acr...

## Job description

At Replicant, we believe AI should work for people, starting with customer service. We’re looking for a Software Development Engineer in Test (SDET) to help raise the bar for quality across our voice AI platform as we continue to scale. This person will play a key role in shaping how quality is defined, measured, and built into the product experience from the start — across platform capabilities, AI agents, customer configurations, integrations, and release workflows. This is an opportunity to help build the systems, standards, and tooling that make quality a durable advantage for both our customers and our teams.

As a SDET you will partner closely with Engineering, Product, and Delivery to create a more unified and scalable approach to quality. You’ll define standards, improve testing strategy, build and evolve automation and platform-level tooling, and turn customer and product insights into better validation systems. This is a hands-on engineering role for someone who is excited to work at the intersection of software quality, automation, analytics, and AI. The right person will help us move toward a modern quality engineering practice where testing is proactive, automated wherever possible, and grounded in the realities of conversational AI.

## What You'll Do

- Act as a senior technical authority for quality engineering at Replicant; shaping how quality is built into the platform through hands-on engineering, championing a high bar across teams, and driving the practices and execution that make it real.
- Raise the technical bar across our team of AI-enabled QA Engineers through hands-on example, code and test review, pairing, and mentorship; leveling up how a small team builds a scalable quality engineering practice.
- Help drive Replicant's AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earlier.
- Build AI-driven testing workflows that let a small team deliver broad, scalable validation across the platform.
- Own the quality feedback loop from internal dogfooding, customer A/B testing, customer feedback triage, and bug reporting, turning real-world usage into faster fixes, better test coverage, and stronger product decisions.
- Partner with Product and Engineering early to improve testability, shape acceptance criteria, and build quality in from the start.
- Build and improve automation frameworks, validation tooling, and CI/CD quality gates for reliable, repeatable releases.
- Use AI and analytics to expand edge-case coverage, summarize failures, and generate insights that inform roadmap and release decisions.

## What You'll Bring

- 5+ years in SDET or quality engineering roles, with significant hands-on coding, including ownership of test strategy and release quality in complex software systems.
- Strong programming skills in at least one modern language (TypeScript, JavaScript, or Python), with the ability to build and own production-quality tooling and frameworks.
- An AI-native approach to quality engineering. You know how to leverage AI to move faster, increase coverage, reduce manual effort, and build smarter testing and validation workflows.
- Curiosity about AI systems, conversational experiences, and the nuances of testing voice-driven product behavior.
- Experience building quality initiatives across teams and influencing engineers, product managers, and stakeholders around a shared quality bar.
- Deep knowledge of modern testing practices, including automation, API and integration testing, regression strategy, and CI/CD-based quality workflows.
- Demonstrated mastery of test design, risk-based coverage, and what should be automated versus explored manually.
- Comfort using data, metrics, and analytics to evaluate quality and communicate trends, risk, and opportunities for improvement.
- Excellent collaboration and communication skills, with the ability to work effectively across Engineering, Product, and customer-facing teams.

## Nice To Have

- Experience testing AI and LLM-powered systems, including evaluating non-deterministic behavior, hallucinations, prompt or workflow regressions, and other quality issues unique to generative products.
- Experience working in an FDE, delivery, or professional services environment, with a strong understanding of customer-facing implementation workflows and real-world quality challenges.

For all full-time employees, we offer:

🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal

🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them

📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar

🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being

💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build

📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company

## Our Values

Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.

Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.

Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.

Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.

Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.

## About Replicant

## Company Overview
- **One-liner**: Replicant provides AI-powered contact center automation that replicates the best performance of human agents to resolve customer conversations across voice, chat, and SMS.
- **Entity Type**: Private (Series B, $78M raised in April 2022)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Gadi Shamia (CEO & Co-Founder), Benjamin Gleitzman (CTO & Co-Founder), Jack Abraham (Co-Founder & Investor)

## Core Business
- **Primary industry**: Conversational AI / Contact Center Automation
- **Target customers**: Enterprise B2B – contact centers seeking to automate customer service workflows while empowering human agents.
- **Mission / purpose statement**: Use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

## Products & Services
- **Conversation Automation**: Premium AI agents that listen, understand, and execute actions across voice, chat, and SMS – built to achieve a 50% call resolution rate for payment-related calls.
- **Conversation Intelligence**: Real-time analytics and insights across both AI and live agents to spot gaps, improve performance, and surface trends.
- **Platform capabilities**: Seamless integrations with CCaaS and CRM systems, enterprise-grade security, and a proven two-week deployment methodology.

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private company).
- **Key Metrics**: Total funding – $113M across 3 rounds. Annual revenue – estimated at $3.5M (LinkedIn-derived). 1B+ minutes automated, 200+ successful deployments, 65 NPS.
- **Notable Investors / Partners**: Norwest Venture Partners (led Series A and seed), Stripes (led Series B), Atomic (seed), and other institutional investors.
- **Growth Signals**: 176 total employees (Built In) / 152 employees (LinkedIn, -9.4% YoY but +150% monthly job postings). Offices in US, Canada, UK, and Portugal. Headcount is 45% technical. 14,308 LinkedIn followers (+15.9% yearly).

## Competitive Advantages
- **AI-building-AI**: Proprietary approach that uses existing conversation data to rapidly generate testable AI agents without manual trial-and-error.
- **Speed of deployment**: Start testing a workflow-specific AI agent within one hour; deploy to production in two weeks.
- **Unified platform**: Combines automation and intelligence on one platform, eliminating tool sprawl and giving holistic visibility.
- **Enterprise proven**: 50% call resolution on payment calls, 20% lower abandonment rate, and integration with major CCaaS/CRM systems.

## Strategic Focus
- Expand global footprint (current presence in North America, Europe) and scale the engineering and sales teams.
- Continue advancing automation capabilities to handle increasingly complex, multi-channel workflows.
- Maintain rapid deployment velocity while strengthening security and compliance for large enterprises.

## Why Work Here
- **Culture**: Values include “Bread Makers” (humble, egalitarian), “Självdistans” (self-distance – objective reflection), and “Blade Runners” (ownership and resourcefulness). Frequent team offsites and strong collaboration.
- **Work policy**: Remote-friendly with hybrid offices in the US and Canada. Employees can work from anywhere; those near offices mix on-site and remote.
- **Benefits**: Competitive health/dental/eye care, company equity, flexible vacation, wellness stipend, equipment stipend, and a sabbatical program after 5 years (up to 5 weeks).
- **Engineering culture**: 110+ engineers, product, and conversation design experts with deep expertise in AI, ML, linguistics, and contact center ops.

## Sources
1. [Replicant Careers Page](https://www.replicant.com/careers)
2. [Replicant About Page](https://www.replicant.com/about)
3. [Replicant Homepage](https://www.replicant.com/?lang=en)
4. [Built In Profile](https://builtin.com/company/replicant-1)
5. [LinkedIn Company Page](https://www.linkedin.com/company/replicant)

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