Senior Software Engineer

About the Role We are building a high-performance, enterprise-grade application designed to process and analyze large-scale data in real time, enabling advanced visualization and decision-making. As a Senior Software Engineer, you will be a hands-on contributor across backend and frontend systems, owning the design and implementation of major components in our data-intensive workflows. This role is for an experienced individual contributor who enjoys deep technical work on real-time data systems, signal processing workflows, and interactive visualization platforms, and who takes pride in raising the engineering bar around them. Key Responsibilities Design and build backend and frontend systems for high-throughput, real-time data applications, owning the implementation of major components end to end. Develop backend services, APIs, and data processing logic that ingest and analyze large volumes of sensor and signal data with low latency. Build event-driven services using Kafka for streaming and Redis for caching and shared state. Build performant, data-heavy frontend applications dashboards, charts, and real-time visualizations capable of handling large datasets across devices. Write tested, reviewed, well-documented code and champion engineering best practices through thorough code reviews and technical discussions. Mentor junior engineers and share knowledge across the team. Collaborate with data scientists, electronics engineers, and UI/UX designers to translate requirements into working systems. Required Qualifications Qualifications Bachelors degree in Computer Science, Electronics, or a related field, or equivalent practical experience. 5+ years of professional software engineering experience, with strong exposure to data-driven and real-time applications. Proficiency in at least one modern backend language (e.g., C++, C# or Python), with hands-on experience building scalable, distributed systems. Strong experience building data-intensive frontend applications using React (or a comparable modern framework) with TypeScript, including performance optimization, state management, and visualization libraries such as D3.js, ECharts, Plotly, or Highcharts. Hands-on experience with Kafka (or comparable event streaming platforms) and Redis for caching and shared state. Strong fundamentals in relational databases (PostgreSQL or equivalent), including schema design, indexing, and query optimization. Comfortable on Linux, with Git-based workflows, containerized deployment (Docker), and CI pipelines. Demonstrated practice with unit and integration testing (pytest, JUnit, Jest, or equivalent). Preferred Qualifications Familiarity with time-series databases (TimescaleDB, InfluxDB, or similar) for sensor and telemetry workloads. Experience with on-premises or LAN-based deployment of real-time systems. Familiarity with WebSockets, Server-Sent Events, or gRPC for streaming data to clients. Experience with observability stacks (structured logging, Prometheus/Grafana, or comparable). Exposure to signal processing, DSP, or sensor telemetry domains. Why Join Us Culture of Excellence: We are committed to fostering a culture where every individual can thrive, grow, and make a difference. Opportunities for Growth: We believe in investing in our people and providing opportunities for professional development and advancement. Collaborative Culture: Join a collaborative and supportive work environment where your contributions are valued and recognized. Innovative Environment: Be part of a team that thrives on innovation and is committed to pushing the boundaries of RF technology. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.