SDET Manager

As an emerging leader in the $10B+ communications API market, we empower global brands to connect better with their customers, employees, and partners through transformative communications experiences. Vonage API solutions empower organisations to build their custom omnichannel communications structure, allowing them to reach and engage customers on their preferred schedule and channel, including voice, video, and messaging. Think of a rideshare service instantly connecting with customers, hospital staff conducting remote monitoring, customers verifying their identity before completing a purchase, AI virtual agents servicing customers around the clock, and much more.

SDET (Software Development Engineers in Test) engineers perform and participate in application development and testing, ensuring continuous quality and testability of code throughout the software development lifecycle. We build quality within the software development process through automated testing suites, providing comprehensive support from code development to functionality, and we live on the leading edge of system and component design, developing solutions that serve millions of users and businesses all over the world.

The SDET Manager brings this to life by contributing to technology development and decision-making, and guiding the work of SDET engineers and teams. This person will be joining at a time of growth, not only within a single team but across Vonage API; they will therefore need to be prepared and experienced to scale both processes and teams.

• →Lead, mentor, and scale a high-performing team of SDETs to successfully deliver on ambitious product roadmaps on our Messaging API team.
• →Drive the development and execution of robust testing strategies for current and future product releases, ensuring comprehensive coverage of both functional and non-functional requirements.
• →Treat AI-assisted engineering as a core part of modern software practice, leveraging AI tools to enhance design, coding, testing, troubleshooting, and documentation, while guiding the team in adopting effective patterns and evolving best practices for AI-enabled ways of working.
• →Collaborate closely with product and engineering teams to design, develop, and optimise advanced test automation frameworks and maintain scalable, reliable data sets.
• →Establish, track, and analyse quality and effectiveness metrics to inform decision-making, support continuous improvement, and ensure the highest standards of software quality.
• →Proactively diagnose technical issues, report defects, and propose implementable solutions to prevent recurrence and improve product stability.
• →Foster a culture of quality by developing and promoting processes that educate and empower engineers at all levels to write higher quality, testable software.
• →Assess, optimise, and elevate current testing procedures and processes for efficiency, scalability, and alignment with business needs.
• →Drive the implementation of non-functional testing strategies, including scalability, redundancy, chaos engineering, and automation, in cloud and hybrid/cloud-native environments.
• →Partner with product and business managers to translate software requirements and technical architectures into actionable, measurable, and testable criteria.

• Proven engineering leadership experience, with a track record of leading and scaling teams of 10 or more engineers.
• Strong software development background; the team works primarily in a Python environment.
• Comprehensive experience developing and running continuous integration and continuous deployment pipelines.
• Solid understanding of data structures, algorithms, and distributed systems.
• Hands-on experience with containerisation and orchestration technologies such as Docker or Kubernetes.
• Outstanding interpersonal and communication skills, with the ability to present complex technical information clearly to a wide variety of audiences.
• Bachelor's degree in Computer Science or a related discipline; a Master's degree would be advantageous.

• Experience with Java, Springboot, or Kotlin.
• Familiarity with VoIP and Messaging protocols, real-time communication systems, and scalability testing, including WebRTC.
• Experience with CI/CD tools (Jenkins, GitHub Actions), Kafka, and relational or NoSQL databases.
• Ability to identify and leverage opportunities to incorporate AI and machine learning solutions to enhance testing effectiveness and product quality.

Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.