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

Experience: 5 to 10 Years

Location: Remote/Bangalore

Job Responsibilities:

• 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.

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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.