Sr Software Systems Engineer-9397--Big Data -Backend

·        Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.

·        Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.

·        Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.

·        Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.

·        Mentor and develop other engineers on the team, establish technical direction and foster team culture.

·        Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

·        Degree in mathematics/computer science or related discipline.

·        5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.

·        5+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.

·        Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.

·        Proficient in Docker, Kubernetes, and modern CI/CD practices.

·        3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

·        Experience as a mentor, tech lead or leading an engineering team.

·        MS or PhD in Computer Science or equivalent experience in ML.

·        Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).

·        Experience with NoSQL and document databases.

·        Proven ability to handle big data, optimize workflows, and improve system performance.

Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!

 

·        Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.

·        Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.

·        Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.

·        Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.

·        Mentor and develop other engineers on the team, establish technical direction and foster team culture.

·        Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

·        Degree in mathematics/computer science or related discipline.

·        5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.

·        5+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.

·        Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.

·        Proficient in Docker, Kubernetes, and modern CI/CD practices.

·        3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

·        Experience as a mentor, tech lead or leading an engineering team.

·        MS or PhD in Computer Science or equivalent experience in ML.

·        Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).

·        Experience with NoSQL and document databases.

·        Proven ability to handle big data, optimize workflows, and improve system performance.

Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!