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Sia Partners

Senior Backend Engineer (Python)

Posted 7 Days Ago
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In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level
As a Senior Backend Engineer, you will design, develop, and optimize back-end services using Python, integrate AI/ML models, and collaborate with cross-functional teams in a cloud environment.
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Company Description

Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries

Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand.

Job Description

We are looking for a skilled Senior Software Engineer to contribute to the development of AI and machine learning (ML) integrations and back-end solutions using Python. You will play a key role in developing our AI-powered SaaS solutions Heka.ai, collaborating with cross-functional teams to solve data-centric problems. This position emphasizes Python back-end development, with additional involvement in AI and ML model integration and optimization.  

Key Responsibilities 

  • Back-End Development: Design, develop, and optimize back-end services using Python, focusing on microservices and data-centric applications. 

  • AI & ML Models: Work closely with data scientists to integrate AI and ML models into back-end systems and ensure seamless performance of the applications. 

  • Containerization & Orchestration: Deploy and manage containerized applications using Docker and Kubernetes. 

  • Database Management: Manage SQL (PostgreSQL) and NoSQL (MongoDB) databases, ensuring high performance and scalability. 

  • Infrastructure as Code (IaC): Use Terraform and Helm to manage cloud infrastructure. 

  • Cloud Infrastructure & CI: Work with GCP / AWS / Azure for deploying and managing applications in the cloud. Management of continuous software integration (tests writing, artifacts building, etc.) 

  • Cross-Functional Collaboration: Collaborate with DevOps, Data Scientists, and Data Engineers to build scalable AI solutions. 

  • Contribution to the back end, front-end and software architecture of applications 

Qualifications

  • Education: Bachelor’s/master's degree in computer science, Software Engineering, or a related field. 

  • Experience: 3-6 years of experience in software development, with a focus on Python back-end development. 

  • Skills: 
    • Strong proficiency in Python and experience with frameworks like Flask. 
    • Experience with  ReactJs for front-end development is a plus. 
    • Extensive experience with cloud platforms (GCP, AWS) and microservices architecture. 
    • Working knowledge of Docker, Kubernetes, CI/CD pipelines (GitLab) and ability to write unit tests. 
    • Database management with PostgreSQL / MongoDB. 
    • Experience mentoring and leading engineering teams. 

Additional Information

What We Offer 

  • Opportunity to lead cutting-edge AI projects in a global consulting environment. 

  • Leadership development programs and training sessions at our global centers. 

  • A dynamic and collaborative team environment with diverse projects. 

Position based in Mumbai (onsite)

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

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