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

You will lead a Warsaw-based engineering team within the Box Extract organization. This team operates within the application layer, responsible for turning advanced AI capabilities (OCR and LLM-based Extract Agents) into a scalable, customer-facing product.

Who you are:

• People-first engineering leader with 2+ years of engineering management experience and strong technical background
• Solid understanding of distributed systems and service-oriented architectures
• Comfortable operating across both backend and frontend concepts (full-stack awareness)
• Strong technical judgment — able to evaluate system design decisions, trade-offs, and engineering approaches
• Experience working in data-driven environments (metrics such as velocity, predictability, delivery performance)
• Skilled at building and growing teams, supporting both senior and junior engineers
• Clear, concise communicator who values transparency and proactive risk management
• Effective stakeholder manager, able to collaborate with cross-functional and distributed teams (including US-based partners)
• Comfortable operating in dynamic, evolving environments with dependencies across teams
• Proficient in English

Nice to have:

• Experience in SaaS or product-driven companies
• Exposure to AI/ML-powered systems or data processing platforms
• Experience working with distributed, international teams

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

Responsibilities:

• Build, lead, and grow a engineering team (5–7 engineers) in Warsaw
• Define the team’s roadmap, execution strategy, and own delivery outcomes
• Ensure strong delivery predictability, including planning, estimation, and execution
• Partner with engineers on system design and technical decisions (non-coding role)
• Develop team members through 1:1s, coaching, performance management, and hiring
• Establish a strong, collaborative, and accountable team culture
• Drive high standards in execution, quality, and scalability
• Organize team processes (stand-ups, sprint planning, technical discussions) and track progress
• Collaborate with product and partner teams to scope initiatives and align on priorities
• Manage cross-team dependencies and coordinate with stakeholders across regions
• Proactively identify risks and ensure transparency in delivery
• Represent Box internally and externally

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

EQUAL OPPORTUNITY 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice. 

#LI-RB1 #LI-Hybrid 

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