Software Engineer ? Data Streaming Platforms

About the role

**Job Description**

We are seeking a Software Engineer with a strong focus on data streaming and real\-time processing platforms to help design, build, and operate scalable, high\-throughput, low\-latency systems. This role will work on distributed systems that ingest, process, and deliver streaming data used for analytics, machine learning, monitoring, and mission\-critical applications. You will collaborate closely with data engineers, platform engineers, product teams, and infrastructure to ensure reliability, performance, and scalability across streaming pipelines.

**Responsibilities**

* Design, build, and maintain scalable data streaming pipelines * Develop and operate event\-driven architectures using streaming technologies * Implement real\-time and near\-real\-time data processing applications * Ensure data correctness, ordering, fault tolerance, and exactly\-once or at\-least\-once semantics as required * Contribute to the design and evolution of streaming platforms and internal data infrastructure * Build resilient, high\-availability services capable of handling large volumes of data * Optimize systems for throughput, latency, and resource efficiency * Participate in capacity planning and performance tuning * Implement monitoring, logging, alerting, and metrics for streaming applications * Debug production issues related to performance, lag, data loss, or backpressure * Support on\-call rotations and incident response for critical data systems * Improve automation, deployment pipelines, and operational tooling * Collaborate with product, analytics, and ML teams to support data use cases * Write clean, maintainable, and well\-tested code * Participate in design reviews, code reviews, and technical discussions * Contribute to documentation and engineering best practices

**Required Qualifications**

* Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience). * 3\+ years of professional software engineering experience. * Systems Programming: 2\+ years of hands\-on experience programming real\-time applications at the Low\-Level / Packet Level using C, C\+\+, or Rust. * Must be highly comfortable with manual memory management, pointer manipulation, and multi\-threaded optimizations. * Strong experience in a modern concurrency language like Go or Python for stream orchestration, tooling, and control\-plane API development. * Network Protocols: Deep, foundational understanding of UDP and TCP/IP networking mechanics. Direct experience managing socket programming, custom congestion control, packet pacing, and error correction techniques (ARQ / selective retransmission). * Media Transport: Proven experience with broadcast and linear video workflows, including media containers and multiplexing (specifically MPEG\-TS wrappers). * Experience building custom stream troubleshooting, diagnostic, or real\-time monitoring software. * Codecs: Codec\-agnostic architecture mindset with low\-level implementation knowledge of H.264/AVC, H.265/HEVC, and emerging standards like AV1\. * Automation \& Scripting: Strong scripting capabilities in Python or Bash for stream orchestration, pipeline automation, and local\-first systems management.

**Preferred Qualifications**

* Direct development experience with libsrt, librist, RTMP, or similar APIs. * Deep familiarity with open\-source media frameworks like FFmpeg, Astreamer, GStreamer, and low level packet streaming tools. * Experience using network analysis to debug packet loss, jitter, clock drift, and MTU issues on live networks. * Familiarity with AWS, GCP, or Azure specifically regarding networking components (firewall traversal, listener/caller architecture, and high\-bandwidth ingress). * Lightweight containerization experience or portable streaming endpoints or edge\-compute tools. * Knowledge of serialization formats (like Protobuf or JSON) strictly for control\-plane APIs and performance telemetry aggregation.