Senior Software Engineer Backend

About Intermedia

Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you
THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT
PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows
companies to connect better. We have a strong track record of growth, profitability, and creating an environment
where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t
be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great
cloud technology. What’s more, we always look to promote from within and have many employees who have been
with us 10, 15, and 20+ years!

Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!

While primarily remote, this role requires occasional visits to the Bristol office or London.
Are you ready to make your mark? 

About the Role 

Intermedia is looking for a Senior Software Engineer Backend to join our organization.
In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products.

You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions.

You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend

engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact. 

• Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations. 

• Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences.

• Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences.

• Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights.

• Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences.

• Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications.
• Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions.

• Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations.

• Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency.

• Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences.

• Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data.

• Analyze and improve the performance, scalability, reliability, and maintainability of analytics services.

• Write high-quality, readable, testable code that follows established engineering standards and best practices.

• Participate in code and design reviews and contribute to strong engineering and quality practices across the team.

• Troubleshoot and resolve complex issues across backend services, analytics workflows, data processing, and frontend integrations.

• Build appropriate monitoring, logging, testing, and observability into production services.

• Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services.

• Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development.

• Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, and engineering efficiency.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical

field, or equivalent practical experience.

• 5+ years of professional software engineering experience, with demonstrated

experience developing backend applications and services.

• Strong proficiency in one or more backend programming languages and associated

frameworks.

• Experience designing and developing RESTful APIs, microservices, or other service-

oriented applications.

• Solid understanding of software design principles, data structures, algorithms, and

distributed systems concepts.

• Experience working with relational and/or NoSQL databases.

• Experience designing applications that process, transform, aggregate, or serve significant

volumes of data.

• Experience developing backend services or APIs that support data-rich, interactive

applications.

• Experience building and supporting scalable, reliable production applications.

• Understanding of data modeling, aggregation, filtering, querying, and other patterns

commonly used in analytics applications.• Working knowledge of cloud platforms such as AWS or Azure and cloud-based

application architectures.

• Familiarity with automated testing, CI/CD, source control, and modern software

development practices.

• Strong understanding of application performance and the ability to optimize services and

data access for responsive user experiences.

• Strong problem-solving skills and the ability to independently investigate and resolve

complex technical issues.

• Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product teams.

• Working understanding of Agile development methodologies and frameworks.