Software Engineer - Data Streaming Platforms

Software Engineer – Data Streaming Platforms EOE Statement: Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. EEO is the law. Category: Software Engineer 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. Job Type: Full‑Time (Exempt) #J-18808-Ljbffr Eccalon LLC