
Senior Server-Side Developer
6 days ago
About the Position
We are looking for a skilled Backend Software Engineer to join our team. You will be responsible for designing and developing scalable server-side architectures that power our observability platform.
You will collaborate with cross-functional teams to build efficient APIs, data pipelines, and real-time processing systems that process vast amounts of telecom data. Your expertise will ensure our platform provides accurate and timely insights to both operational and executive users.
Duties and Responsibilities- API Design and Development
- Design and implement RESTful APIs and microservices to support data ingestion, processing, and integration with front-end components.
- Ensure APIs are highly available, scalable, and optimized for real-time data processing.
- Data Processing and Integration
- Develop back-end components that handle large-scale, low-latency data streams.
- Optimize system performance to ensure fast response times for critical observability metrics.
- Team Collaboration and Communication
- Work closely with cross-functional teams to translate product requirements into actionable tasks.
- Participate in agile development practices, including sprint planning, daily stand-ups, and code reviews.
- Security and Compliance
- Implement security best practices to safeguard sensitive telecom data.
- Ensure the back-end architecture meets industry standards and regulatory requirements.
- Background
- 3–7+ years of professional experience in back-end development, with a strong portfolio of building scalable, data-intensive applications.
- Proven experience with designing and developing RESTful APIs and microservices.
- Skills and Expertise
- Proficiency in server-side programming languages (e.g., Node.js, Python, Java, or similar).
- Experience with databases (SQL and NoSQL) and data processing frameworks.
- Strong understanding of real-time data integration techniques, message brokers (e.g., Kafka, RabbitMQ), and cloud services (e.g., AWS, Azure, GCP).
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Knowledge of security best practices and data compliance standards.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Experience in developing real-time data systems or observability platforms.
- Prior exposure to telecom networks, OSS, or similar data-intensive environments.
- Familiarity with AI/ML integration, especially in handling data for Gen AI or LLM-driven applications.
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