Engineering Manager – CX/CCaaS Platform Empowering Businesses with Essential Communications At Sangoma, we build the technology that keeps businesses connected. From UCaaS and CCaaS to real-time communications infrastructure, our platforms power millions of conversations worldwide every day. Our engineering teams operate with a foundation of trust, autonomy, and accountability. We move with purpose, collaborate cross-functionally, and take ownership of outcomes—not just output. As an Engineering Manager, you will lead a team of senior software and infrastructure engineers in designing and delivering innovative, scalable solutions. You will play a critical role in a highly collaborative and supportive environment, driving the development, reliability, and continuous improvement of the services and infrastructure that power Sangoma’s CX/CCaaS platform. This role can be based in US, Canada or Medellin Columbia Your Role - Lead CX/CCaaS engineering teams across software and infrastructure, ensuring the reliability, performance, and scalability of Sangoma’s customer experience platforms while driving the successful delivery of new features and services - Partner closely with Product Management to define team objectives, align on priorities, and translate business requirements into actionable engineering plans - Build, mentor, and develop high-performing engineering teams through regular 1:1s, performance reviews, and structured career growth plans - Oversee agile delivery processes, including sprint planning, stand-ups, retrospectives, and status reporting to ensure consistent execution and transparency - Establish and promote engineering best practices, including reproducibility, observability, automation, and infrastructure as code - Remain hands-on contributing to the design, development, and delivery of high-quality, scalable, and maintainable code - Lead and participate in code reviews, fostering a culture of continuous improvement, technical excellence, and knowledge sharing - Design, implement, automate, and troubleshoot services within a VoIP/real-time communications environment, ensuring high availability and performance - Drive enhancements to system observability, monitoring, and alerting to proactively identify and resolve issues in production environments - Own the reliability and scalability of voice infrastructure, including capacity planning, redundancy, and fault tolerance strategies - Lead cross-functional incident response and root cause analysis for escalated issues, ensuring timely resolution and continuous improvement - Participate in an on-call rotation and oversee after-hours maintenance activities as needed to support platform stability and uptime

Engineering Manager – CX/CCaaS Platform Empowering Businesses with Essential Communications At Sangoma, we build the technology that keeps businesses connected. From UCaaS and CCaaS to real-time communications infrastructure, our platforms power millions of conversations worldwide every day. Our engineering teams operate with a foundation of trust, autonomy, and accountability. We move with purpose, collaborate cross-functionally, and take ownership of outcomes—not just output. As an Engineering Manager, you will lead a team of senior software and infrastructure engineers in designing and delivering innovative, scalable solutions. You will play a critical role in a highly collaborative and supportive environment, driving the development, reliability, and continuous improvement of the services and infrastructure that power Sangoma’s CX/CCaaS platform. This role can be based in US, Canada or Medellin Columbia Your Role - Lead CX/CCaaS engineering teams across software and infrastructure, ensuring the reliability, performance, and scalability of Sangoma’s customer experience platforms while driving the successful delivery of new features and services - Partner closely with Product Management to define team objectives, align on priorities, and translate business requirements into actionable engineering plans - Build, mentor, and develop high-performing engineering teams through regular 1:1s, performance reviews, and structured career growth plans - Oversee agile delivery processes, including sprint planning, stand-ups, retrospectives, and status reporting to ensure consistent execution and transparency - Establish and promote engineering best practices, including reproducibility, observability, automation, and infrastructure as code - Remain hands-on contributing to the design, development, and delivery of high-quality, scalable, and maintainable code - Lead and participate in code reviews, fostering a culture of continuous improvement, technical excellence, and knowledge sharing - Design, implement, automate, and troubleshoot services within a VoIP/real-time communications environment, ensuring high availability and performance - Drive enhancements to system observability, monitoring, and alerting to proactively identify and resolve issues in production environments - Own the reliability and scalability of voice infrastructure, including capacity planning, redundancy, and fault tolerance strategies - Lead cross-functional incident response and root cause analysis for escalated issues, ensuring timely resolution and continuous improvement - Participate in an on-call rotation and oversee after-hours maintenance activities as needed to support platform stability and uptime

• Manage engineers engaged in design, development, test, and maintenance of on-premises and cloud solutions focused on data capture, transformation, validation, and distribution/reporting/publishing • Collaborate with teams to transform data and integrate models into automated processes • Work with stakeholders including program, product, data, and design teams to assist with data-related technical issues and support data infrastructure needs • Manage team’s production O&M support, scheduled, on-call 24x7 support • Engage program staff and other OBIM contractors on support needs • Communicate project and work status to senior program leadership and customer • Proactively identify and propose solutions to improve existing system architectures • Schedule staff to obtain proper response in a timely manner. • Enjoy working in a learning environment, with a small team that must be enabled to mitigate skill and knowledge gaps between team operations and/or responsibilities, on a periodic basis.

At Fortrea, we believe early talent is the heartbeat of innovation. Our Early Careers program is more than an internship, —it’s a launchpad for your future. As an Intern, you’ll join a global team where curiosity, motivation, and fresh ideas are celebrated. You’ll work on meaningful projects, learn from experienced professionals, and see firsthand how clinical research and healthcare innovation change lives. We don’t expect you to know it all. What matters most is your potential, your drive to learn, and your willingness to grow. With hands-on experience, mentorship, and structured development, we’ll help you build the skills and confidence to succeed. Your journey to pioneering tomorrow’s breakthroughs starts here. Fortrea 2026 University Internship Program Inside Sales Team USA Location: USA, remote Full-time, 12-weeks, $21/hr Start Date: Summer 2026 Job Overview: We are excited to offer a 12-week remote paid AIML Rapid Development Studio (RDS) Internship opportunity for individuals interested in gaining hands-on experience within our Global Project Delivery Department. As an intern, you will work closely with our experienced AIML RDS team to support various client engagement projects and contribute to the advancement of medical knowledge. Global Internship Program: Exciting Opportunity to be part of the Fortrea 2026 Global Frontline Internship Program! We offer real work assignments that compliment an education in STEM+ Healthcare disciplines, are challenging and recognized to the organization as valuable. In addition, we encourage professional development and career exploration through program workshops, each designed to help students prepare for a thriving career in our industry. This internship in particular will play a key role in supporting the development and implementation of cutting-edge AI and machine learning solutions. The intern will work closely with our team of AI/ML experts to contribute to various stages of the innovation process, from research and ideation to prototyping and deployment. This internship will provide hands-on experience in applying AI/ML technologies to real-world challenges, fostering a deeper understanding of the field and enhancing the intern's technical and problem-solving skills. Internship Assignment Summary: - Data Collection and Preparation: Assist in gathering, cleaning, and organizing datasets required for machine learning projects. This includes data preprocessing, feature extraction, and ensuring data quality. - Model Development: Participate in the design and development of machine learning models. This includes experimenting with different algorithms, tuning hyperparameters, and optimizing models for performance and accuracy. - Prototyping and Experimentation: Collaborate with team members to create prototypes of AI/ML solutions. Test and validate models through rigorous experimentation, and document findings to guide further development. - Research and Literature Review: Conduct research on the latest AI/ML trends, tools, and methodologies. Summarize key findings and propose how they can be applied to ongoing projects within the studio. - Tool and Framework Exploration: Explore and evaluate new AI/ML tools, frameworks, and technologies. Provide recommendations on their potential integration into the studio's workflow. - Collaboration and Support: Work closely with cross-functional teams, including data scientists, software engineers, and product designers, to support the successful implementation of AI/ML initiatives. - Documentation and Reporting: Maintain detailed documentation of all project-related activities, including data pipelines, model configurations, and experimental results. Present findings and progress to the team in regular updates. - Continuous Learning and Development: Engage in ongoing learning opportunities to expand knowledge in AI/ML. Attend workshops, webinars, and team discussions to stay updated on the latest industry advancements. Education/Qualifications/Skills: - Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Graduate level). - Strong foundational knowledge in machine learning algorithms and data structures. - Experience with programming languages commonly used in AI/ML, such as Python, R, or Java. - Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Basic understanding of data preprocessing and feature engineering techniques. - Exposure to cloud computing platforms (e.g., AWS, Google Cloud, Azure) and tools for AI/ML deployment. - Strong analytical and problem-solving skills, with a keen interest in AI/ML research and development. - Ability to work collaboratively in a team environment, with good communication skills. - Eagerness to learn and adapt to new technologies in a fast-paced, innovative environment. - Previous project or internship experience in AI/ML is a plus but not required Qualifications (Minimum Required): Fortrea may consider relevant and equivalent experience in lieu of educational requirements. Closing date for applicants - April 30, 2026 Learn more about our EEO & Accommodations request here.