Descrição da Vaga
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.
endif]-->
