Senior C++ Developer

Amaris Consulting; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading consulting firm in São Paulo is seeking a Senior C++ Performance Engineer to design and deliver high-performance, low-latency components for real-time systems. The ideal candidate should have over 5 years of C++ development experience and skills in optimizing machine learning inference pipelines. This role also requires hands-on experience with Docker and Kubernetes for service deployment, as well as a strong understanding of performance optimization techniques. Join a dynamic international team that values inclusivity.

Serviços

Strong training system

Dynamic work environment

International community

Qualificações

• 5+ years of professional experience in C++ development with strong expertise in relevant areas.
• Hands-on experience with deploying C++ services using Docker and Kubernetes.
• Experience with integrating C++ with external systems like REST APIs and gRPC.

Responsabilidades

• Optimize machine learning inference pipelines using C++ frameworks.
• Develop C++ User-Defined Functions for Databricks Spark jobs.
• Profile, benchmark, and optimize performance-critical code.

Conhecimentos

Modern C++ (C++17/C++20/C++23)

Performance optimization

Low-level programming

Multithreading and concurrency

Building high-throughput, low-latency systems

Formação académica

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Ferramentas

Docker

Kubernetes

Terraform

Descrição da oferta de emprego

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.