Job description We are seeking a highly skilled Senior C\+\+ Performance Engineer to design and deliver high\-performance, low\-latency C\+\+ components that power real\-time commercial performance systems, including dynamic pricing, demand forecasting, and sales analytics. This role sits at the intersection of data science, machine learning, and production\-grade infrastructure, ensuring that performance\-critical logic runs at optimal speed while integrating seamlessly with platforms such as Databricks, Airflow, Kubernetes, and Microsoft Azure. Key Responsibilities Optimize machine learning inference pipelines using C\+\+\-based engines (e.g., ONNX Runtime, TensorRT) to achieve sub\-millisecond latency. Develop custom C\+\+ User\-Defined Functions (UDFs) callable from Databricks Spark jobs via JNI or external processes. Integrate C\+\+ components within Kubernetes\-managed microservices and Airflow workflows. Collaborate closely with data scientists and ML engineers to productionize models under strict performance constraints. Deploy and manage C\+\+\-based services using Terraform and Azure infrastructure. Profile, benchmark, and optimize performance\-critical code using tools such as perf, Valgrind, and Google Benchmark. Define and contribute to platform\-wide performance standards and best practices for C\+\+ in large\-scale data systems. Required Skills \& Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5\+ years of professional experience in C\+\+ development, with strong expertise in: Modern C\+\+ (C\+\+17 / C\+\+20 / C\+\+23\) Performance optimization (CPU, memory, cache efficiency) Low\-level programming (pointers, memory layout, alignment) **Multithreading and concurrency (std:**:thread, atomics, locks) Proven experience building high\-throughput, low\-latency systems (e.g., trading platforms, real\-time analytics). Hands\-on experience with Docker and Kubernetes for deploying C\+\+ services. Experience integrating C\+\+ with external systems (REST APIs, gRPC, shared libraries). Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform). Exposure to data platforms such as Databricks, Spark, or Kafka (as a consumer is sufficient). Preferred / Nice\-to\-Have Experience with ONNX Runtime, TensorRT, or TVM for ML inference in C\+\+. Hands\-on experience building C\+\+ UDFs for Spark/Databricks (JNI or external execution). Contributions to open\-source C\+\+ projects or performance\-oriented libraries. Background in commercial analytics, pricing, or supply chain systems. Familiarity with Azure services (AKS, App Services, Azure Monitor). Why choose us An international community bringing together more than 110 different nationalities **An environment where trust is central:** 70% of our leaders started their careers at the entry level A strong training system with our internal Academy and more than 250 modules available A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.) Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. Who are we? Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System \& Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success. At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like: **Brief Call:** Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! Interviews (the average number of interviews is 3 \- the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities! **Case study:** Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem\-solving scenario, etc. As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you!