Senior C Software Engineer

• 5+ years of experience in modern C++ software development using C++17/C++20
• Understanding of multithreading, concurrency, synchronization, and performance optimization in Linux environments
• Background in developing deterministic, low-latency software for real-time systems
• Proficiency in CMake, modern C++ build systems, and Conan package management for C++
• Skills in profiling and optimizing CPU/memory utilization in constrained Linux environments
• Competency in writing unit tests and automated tests
• Proven capability to debug low-level communication issues and optimize performance under constrained environments
• Hands-on expertise designing, deploying, and debugging containerized applications using Docker in Linux production environments
• Experience with CI/CD & Release pipelines: multi OS runners, artifact signing, SBOMs/vulnerability scanning
• Familiarity with Agile toolsets such as Azure DevOps, Atlassian tools like Confluence, JIRA, and Bitbucket
• Fluent English communication skills at a B2+ level

Nice to have:

• Capability to independently deploy and manage cloud-native or edge-native microservices in Linux environments
• Flexibility to work closely with research, data science, and platform engineering teams to bridge prototype and production environments
• Skills in Python and C++ interoperability
• Familiarity with industry IoT standards and protocols such as MQTT/SparkplugB, ZeroMQ, ProtoBuf, Kafka, and HTTP
• Expertise in Linux, Bash/Shell scripting, Docker, TCP/IP networking, Kubernetes, systemd, logging, OTA/rollback strategies, and advanced debugging techniques
• Background in deploying software in industrial environments, including remote diagnostics and field support
• Familiarity with .NET/C#

• Collaborate closely with Data Scientists and Machine Learning experts to turn prototype algorithms and data processing pipelines into hardened, reliable, production-grade "always-on" applications written in C++
• Convert research and prototype ML/data-processing workflows (primarily Python-based) into high-performance, reliable C++ production systems
• Implement data quality safeguards, sanitization, and required low-level interfaces for real-time inference on streaming data
• Optimize code for predictable behavior, high reliability, and efficient resource utilization (compute/memory/storage) on resource-constrained environments
• Support the development of high-performance, high-reliability solutions capable of running on resource-constrained hardware or in cost-effective, highly-scalable cloud applications
• Translate real-world process dynamics, sensor behavior, and system constraints into realistic online control solutions
• Document and communicate assumptions, results, limitations, risks, and deployment considerations for discussion with the broader technical audience