Staff Software Systems Engineer-Backend (Python, Microservices, Rest Gen AI) (copy)
Job Summary
Job Description
Backend engineer with 8+ years experience in Python, Microservices, REST APIs, and ML technologies like PyTorch and Triton, to design and develop high-performance, scalable systems.
Must have:
- Python Microservices
- REST API Design
- Docker Kubernetes
- Distributed Systems
Good to have:
- ML Technologies
- NoSQL Databases
- Cloud Platforms
- TensorRT Triton
Perks:
- Remote Work
- Team of Engineers
11 skills required
Job Details
Position: Staff Software Systems Engineer-Backend (Python, Microservices, Rest Gen AI)
Experience: 8 to 13 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.
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
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