Senior Software Engineer

🕒 August 21

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 27%

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Logo of Commit

Commit

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.

📋 Description

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture • Develop and integrate video management capabilities, including streaming, recording, and real-time AI processing • Design and optimize low-latency, high-performance workloads at the edge • Build secure, efficient communication pipelines between edge devices and cloud systems • Work with AI/ML engineers to deploy and optimize on-device models • Own performance under load by profiling CPU and memory, identifying bottlenecks, and fixing them • Participate in code reviews, debugging, and performance tuning across the stack

🎯 Requirements

• Strong proficiency in Go, Rust, or TypeScript (at least one, ideally two) • Proven experience with multithreaded and concurrent programming • Experience with performance profiling and optimization under real production load on dedicated hardware • Experience deploying and managing Docker/containerized workloads • Experience building for edge computing or embedded systems in resource-constrained environments • Solid networking and distributed systems fundamentals • Experience with real-time systems and low-latency design • Video streaming or pipeline development experience (nice to have) • Storage systems and data management at the edge (nice to have) • Experience integrating cloud services such as AWS S3, GCP, MQTT, or Kafka (nice to have) • AI/ML model deployment on edge devices (nice to have) • Knowledge of security concepts including encryption, secure communication, and zero trust (nice to have)

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