Why this role matters

SDET (Software Development Engineers in Test) engineers perform and participate in application development and testing. We ensure 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. 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 coming in at a time of growth, not only within ‘a’ single team, but across Vonage API - therefore this person will need to be prepared and experienced to scale processes & teams.

What you'll do:

• 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.
• Treats 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 optimize advanced test automation frameworks and maintain scalable, reliable data sets.
• Establish, track, and analyze 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.
• Contribute to and influence the development of long-term technical solutions and quality strategies for the wider engineering department.
• 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, optimize, and elevate current testing procedures and processes for efficiency, scalability, and alignment with business needs.
• Define and communicate clear team success metrics, ensuring ongoing alignment with the engineering organization’s strategic vision.
• Work collaboratively with engineering teams and stakeholders to ensure testing requirements, features, and protocols are well understood, supported, and implemented.
• Partner with product and business managers to translate software requirements and technical architectures into actionable, measurable, and testable criteria.
• Drive the implementation of non-functional testing strategies—including scalability, redundancy, chaos engineering, and automation—in cloud and hybrid/cloud-native environments.

What you'll bring:

• Engineering leadership skills - experience leading a team of 10+ Engineers at least
• Advanced knowledge of Python programming language
• Comprehensive experience in developing and running a continuous integration and continuous deployment pipelines.
• Advanced knowledge of data structures, algorithms and distributed systems.
• Hands on experience with Docker or Kubernetes
• Outstanding interpersonal and communication skills.
• Bachelor’s Degree in Computer Science or related discipline, Masters would be advantageous
• Advanced understanding of and experience with writing, testing, debugging and perfecting code.
• Ability to:
• Navigate ambiguity.
• Present complex technical information in a clear and concise manner to a wide variety of audiences.
• Identify risks and threats in current and emerging technologies, procedures, features and operations.
• Manage multiple priorities with accuracy and efficiency while meeting deadlines.

Experience we consider a plus:

• Java, Springboot, Kotlin code experience
• WebRTC / Communication testing experience.
• Experience with CI/CD tools (Jenkins, GitHub Actions), Kafka, and Data Science frameworks.
• Experience with relational and NoSQL databases, and testing multi-tiered architectures.
• Familiarity with VoIP and Messaging protocols, real-time communication systems, and scalability testing.
• Identify and leverage opportunities to incorporate artificial intelligence and machine learning solutions to enhance testing effectiveness, automation, and product quality.

How you’ll benefit:

• Private Medical Insurance
• Group Pension Plan
• Life Insurance and Group Personal Accident
• Ericsson Care Line
• Unlimited Discretionary Time Off (DTO)
• Volunteer Time (VTO)

#LI-JB1

Why this role matters

SDET (Software Development Engineers in Test) engineers perform and participate in application development and testing. We ensure 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. 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 coming in at a time of growth, not only within ‘a’ single team, but across Vonage API - therefore this person will need to be prepared and experienced to scale processes & teams.

What you'll do:

• 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.
• Treats 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 optimize advanced test automation frameworks and maintain scalable, reliable data sets.
• Establish, track, and analyze 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.
• Contribute to and influence the development of long-term technical solutions and quality strategies for the wider engineering department.
• 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, optimize, and elevate current testing procedures and processes for efficiency, scalability, and alignment with business needs.
• Define and communicate clear team success metrics, ensuring ongoing alignment with the engineering organization’s strategic vision.
• Work collaboratively with engineering teams and stakeholders to ensure testing requirements, features, and protocols are well understood, supported, and implemented.
• Partner with product and business managers to translate software requirements and technical architectures into actionable, measurable, and testable criteria.
• Drive the implementation of non-functional testing strategies—including scalability, redundancy, chaos engineering, and automation—in cloud and hybrid/cloud-native environments.

What you'll bring:

• Engineering leadership skills - experience leading a team of 10+ Engineers at least
• Advanced knowledge of Python programming language
• Comprehensive experience in developing and running a continuous integration and continuous deployment pipelines.
• Advanced knowledge of data structures, algorithms and distributed systems.
• Hands on experience with Docker or Kubernetes
• Outstanding interpersonal and communication skills.
• Bachelor’s Degree in Computer Science or related discipline, Masters would be advantageous
• Advanced understanding of and experience with writing, testing, debugging and perfecting code.
• Ability to:
• Navigate ambiguity.
• Present complex technical information in a clear and concise manner to a wide variety of audiences.
• Identify risks and threats in current and emerging technologies, procedures, features and operations.
• Manage multiple priorities with accuracy and efficiency while meeting deadlines.

Experience we consider a plus:

• Java, Springboot, Kotlin code experience
• WebRTC / Communication testing experience.
• Experience with CI/CD tools (Jenkins, GitHub Actions), Kafka, and Data Science frameworks.
• Experience with relational and NoSQL databases, and testing multi-tiered architectures.
• Familiarity with VoIP and Messaging protocols, real-time communication systems, and scalability testing.
• Identify and leverage opportunities to incorporate artificial intelligence and machine learning solutions to enhance testing effectiveness, automation, and product quality.

How you’ll benefit:

• Private Medical Insurance
• Group Pension Plan
• Life Insurance and Group Personal Accident
• Ericsson Care Line
• Unlimited Discretionary Time Off (DTO)
• Volunteer Time (VTO)

#LI-JB1

What You Will Do

• Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
• Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams, guiding them to build, maintain, and execute performance scripts (k6) within their fractional sprint capacity.
• Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript, focusing entirely on APIs, databases, and infrastructure.
• Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation to accurately recreate realistic production contention and load profiles.
• Own and drive performance, load, stress, endurance, scalability, and resilience testing, including chaos engineering practices (e.g., using AWS Fault Injection Simulator).
• Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems under production-like conditions.
• Integrate performance testing into CI/CD pipelines, enabling continuous performance validation, shift-left practices, and automated PR blocking for latency degradation.
• Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor, analyse, and troubleshoot system performance.
• Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business and system requirements.
• Collaborate with architecture and data teams to identify bottlenecks, validate database architectures (e.g., MySQL, Tungsten), and present evidence-based investment proposals.
• Analyse and optimise performance across both legacy monolith systems (requiring integrated load testing) and modern microservices architectures.

What You Will Bring

• Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams (e.g., conducting code reviews, guiding SDETs through framework adoption, and managing cross-team test schedules).
• Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway) with a focus on scalability and performance optimisation.
• Proven expertise in performance testing tools (specifically k6, along with JMeter or Gatling), including test design, execution, and analysis at scale.
• Hands-on experience with production traffic shadowing or replay tools (such as GoReplay).
• Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), microservices architectures, and high-volume, low-latency APIs.
• Solid backend programming and scripting skills in Python, Java, or TypeScript to build custom performance frameworks and tooling.
• Strong understanding of system design, concurrency, throughput, latency, and fault tolerance principles.
• Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions) and enabling continuous performance feedback loops.
• Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM) for performance analysis and diagnostics.
• Experience working within Agile environments and translating performance insights into actionable engineering outcomes.

Required

• Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript.
• Proven track record of performance, scalability, and resilience testing in AWS-based cloud-native systems.
• Strong experience designing large-scale performance test strategies and leading QA/SDET teams to execute them.
• Deep understanding of API performance testing, integration testing, and system-level non-functional validation.
• Solid grasp of system architecture, distributed systems behaviour, and non-functional testing methodologies.
• Experience with observability, monitoring, and log analysis tools.
• Familiarity with RESTful APIs and event-driven systems.

Application Requirements

• Updated CV clearly demonstrating performance engineering leadership, cross-team coordination, AWS expertise, and backend automation frameworks.
• Summary of performance testing frameworks, tools (e.g., k6, GoReplay), and CI/CD methodologies implemented.
• Detailed examples of performance testing engagements (scale, environments, bottlenecks identified, business impact, improvements delivered).
• Evidence of driving performance strategy, mentoring QA/SDET teams, and influencing architecture.

#LI-KS1

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join a team focused on building automation and research-enablement tools that integrate AI/ML capabilities into QRT’s broader technology ecosystem. The team collaborates closely with Data Scientists, Infrastructure Engineers, and Application Developers to embed LLMs and machine learning models into both user-facing products and backend systems.

Your future role within QRT

• Design, build, and maintain automation solutions powered by AI/ML technologies
• Collaborate with Data Scientists and Infrastructure teams to integrate LLMs and ML models into production systems
• Develop and maintain CI/CD pipelines to support robust, testable, and repeatable deployments
• Build scalable APIs and data processing pipelines for model inference and real-time analytics
• Stay current with advances in AI/ML and apply them pragmatically to business and research workflows

Your present skillset

• 1–2 years of professional software development experience with proficiency in Python
• Strong understanding of core Computer Science fundamentals (data structures, complexity, OOP, concurrency)
• Familiarity with AI/ML/LLM concepts and ability to work with Data Science teams
• Experience building automation tools and services, including those powered by AI
• Exposure to CI/CD pipelines and tools such as GitLab CI, Jenkins, Docker, and Kubernetes
• Experience developing RESTful APIs and working with AWS is desirable
• Strong problem-solving mindset and eagerness to take ownership in a fast-paced environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Vonage Applications:

Our Applications business unit focuses on delivering a suite of advanced communication tools designed to enhance customer engagement. From cloud contact centers to feature-rich unified communications solutions, our Applications team is dedicated to providing businesses with the tools they need to streamline operations and improve customer experiences.

Why this role matters:

Join Vonage's Applications Architecture team and help shape how we handle data across our unified communications platform. You'll work with hundreds of engineers across product lines, setting the direction for data platforms that serve millions of users worldwide.

As a trusted advisor and facilitator, you'll guide engineering teams and product managers on data architecture decisions - helping us build scalable, multi-tenant data products while maintaining speed and quality. This is about strategic influence, not hands-on coding.

Your key responsibilities:

• Design and guide the software and data architecture for customer-facing data products across multiple systems in a multi-tenant environment
• Set architecture vision for analytics data platform and identify emerging technology trends
• Work directly with engineering teams and product managers to scope features and solve complex data challenges
• Engage and be an active member of the wide Apps architecture team
• Facilitate technical discussions and help teams make better architectural decisions across domains
• Establish and evangelize best practices, guidelines, and standards for data management
• Identifying and sponsoring technical improvements  
• Champion the team's vision while empowering teams to own their implementation

What you'll bring

Your background:

• 10+ years of building Software and Data-heavy systems - you've seen what works (and what doesn't)
• Experience designing features that utilize AI/ ML
• You've built data products that actually scale
• Understanding of cloud infrastructure (we love AWS, but a great cloud experience translates)
• Fluent in one of the languages, like Python, .NET, JavaScript—you speak a developer language

Who you are:

• A natural communicator who influences without needing a title
• Self-directed - you see what needs doing and make it happen
• A pragmatic thinker who cuts through complexity to find elegant solutions
• Curious and energized by learning new technologies and approaches
• Comfortable with ambiguity and change (we're growing fast!)
• Someone who connects the dots between technical choices and business impact

What would make you stand out:

• You've been an architect or technical lead before and loved it
• You've worked with modern data tools: Kafka, Snowflake, Spark, Looker
• You know the telecom, SaaS, or unified comms space
• You've thrived in Agile/SAFe environments
• You've mentored engineers and watched them grow
• You have a bias for improvement - leaving things better than you found them is just how you work

How you’ll benefit:

• Discretionary Time Off
• Private Medical Healthcare
• Pension scheme
• Ericsson support line
• Hybrid work
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI-KF1