Sr Software Systems Engineer-Backend (Python, Microservices, Rest Gen AI)

6 Days ago • 5-12 Years

About the job

Summary_{By Outscal}

Sr Software Systems Engineer - Backend with 5+ years of experience in Python, Microservices, REST, and Gen AI. Design and launch strategic ML solutions, lead technical discussions, and develop real-time online inferencing. Experience with Docker, Kubernetes, and CI/CD practices is a must.

Position: Sr Software Systems Engineer-Backend (Python, Microservices, Rest Gen AI)

Experience: 5 to 12 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!

undefinedundefinedundefined