Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As a Senior SDET, you will design and implement test strategies, automation frameworks, and CI/CD integrations that ensure our systems meet the highest standards of quality and performance. You’ll collaborate closely with developers, product owners, and DevOps engineers to build robust automation pipelines for UI, API, and backend testing, and contribute to load and performance testing initiatives.
This role is ideal for a hands-on automation engineer with strong Python or TypeScript/JavaScript skills, a passion for quality engineering, and an interest in learning about testing AI-driven systems.
Help us shape the future of communications by:
Designing, building, and maintaining automated test frameworks for UI, API, and backend testing using Playwright, Cypress, or Selenium.
Developing and executing integration and end-to-end test suites to ensure high-quality releases.
Implementing performance and load testing using k6 or similar tools.
Integrating automated testing into CI/CD pipelines (Git, Drone CI, Argo CD, Kubernetes).
Driving test coverage, defect reporting, and quality metrics across multiple delivery teams.
Collaborating with engineers to embed testing early in the SDLC and ensure reliable, scalable automation.
Advocating for QA best practices, code quality, and automation-first principles.
Leading continuous improvement initiatives evaluating new tools, frameworks, and techniques to enhance efficiency and maintainability.
Requirements
What you'll bring:
7+ years of experience in software testing or automation engineering.
Strong programming skills in Python or TypeScript/JavaScript.
Hands-on experience with at least one of the following: Playwright, Cypress, or Selenium (required).
Experience with API testing (REST/GraphQL) and backend validation.
Experience with k6 or other load testing tools for performance validation.
Familiarity with CI/CD environments, containerized systems, and Kubernetes.
Excellent understanding of test design, debugging, and automation in distributed systems.
Experience working in Agile (Scrum) teams.
Strong analytical, problem-solving, and communication skills.
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Exposure to AI/ML systems and model testing principles is preferable.
Understanding of data validation frameworks (e.g., Great Expectations, Pandas is preferable.
Awareness of MLOps, Data Drift, or Model Drift detection is preferable.
Experience with Generative AI or AI Agent testing workflows is preferable.
As a Unifone you will receive a range of benefits:
Competitive salary and bonus.
Unifonic share scheme (we are all owners!).
30 holiday days after your first anniversary.
Flexible working arrangements.
Spend up to 25 days per year working from anywhere in the world!
Paid leave for new parents.
Unifonic is a SaaS company revolutionizing business communication through advanced communication and engagement solutions. The company serves 5000+ customer-centric businesses with a focus on communication technology. With 500 employees, Unifonic has been recognized as a Great Place to Work® and emphasizes a collaborative, innovative work environment. The company is actively developing cutting-edge AI and machine learning solutions, including NLP, RAG systems, LLMs, recommender engines, and anomaly detection capabilities to enhance their communication platform offerings.
