Software Developer – Data

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October 23

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Intermedia Cloud Communications

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B2B • Enterprise • SaaS

Intermedia Cloud Communications is a leading provider of cloud-based communication solutions, specializing in unified communications, video conferencing, and various productivity tools. Their platform, Intermedia Unite, integrates voice, video, chat, and file management into a seamless user experience, enabling businesses to communicate and collaborate effectively from anywhere. With a focus on security and compliance, Intermedia serves a range of industries including healthcare, legal services, and financial services, helping organizations enhance productivity and customer care with advanced technology and support.

1001 - 5000 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2017-02

📋 Description

• Design and develop scalable microservices and APIs using Java and Spring Boot • Build services that support high-volume data ingestion, processing, and access • Integrate backend services with both modern cloud data platforms and legacy systems • Write and optimize SQL queries and stored procedures to support application features and data pipelines • Collaborate with Data Engineers, Analysts, and Product teams to deliver high-quality, well-tested solutions • Ensure data integrity, availability, and performance across systems • Participate in code reviews, architecture discussions, and CI/CD processes • Write unit, integration, and data tests to support reliable delivery • Contribute to system modernization efforts, replacing legacy components with scalable cloud-native services • Deploy and manage services in containerized environments using Kubernetes and Helm

🎯 Requirements

• 5+ years of experience in backend software engineering or data-focused software development • Strong programming skills in Java with Spring Boot for microservices development • Solid understanding of SQL and relational database design, performance tuning, and data modeling • Experience building and consuming RESTful APIs • Familiarity with ETL/ELT concepts and data integration techniques • Proficient in working with CI/CD pipelines and Git-based version control • Experience with unit testing frameworks (e.g., JUnit, Mockito) and integration testing • Hands-on experience deploying applications in Kubernetes environments using Helm charts • Practical experience with Snowflake and dbt is desirable • Exposure to cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code is a plus • Knowledge of messaging or event streaming tools (e.g., Kafka, RabbitMQ) is a bonus • Strong communication skills, able to collaborate across data and software engineering teams • Adaptable in a hybrid environment with both legacy and modern systems • A pragmatic mindset for delivering production-quality software while reducing technical debt • Comfortable working with ambiguity and legacy codebases • Passion for automation, performance optimization, and clean architecture