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

5 Months ago • 5-12 Years • Backend Development

Job Summary

Job Description

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.
Must have:
  • Python Experience
  • Microservices Architecture
  • RESTful APIs
  • Docker & Kubernetes
Good to have:
  • ML Technologies
  • NoSQL Databases
  • Big Data Handling
  • Cloud Platforms
Perks:
  • Team of Engineers
  • Achieve New Heights

Job Details

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!
 
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