Senior Software Engineer at Sia Partners - United Kingdom

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Flask, ReactJs, Cloud Platforms, Microservices Architecture, Docker, Kubernetes, CI/CD Pipelines, PostgreSQL, MongoDB, Unit Testing, AI, Machine Learning, Terraform, Helm, Data Science

Industry

Business Consulting and Services

Description

Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale. 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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Responsibilities

The Senior Software Engineer will design, develop, and optimize back-end services using Python, focusing on microservices and data-centric applications. They will also collaborate with data scientists to integrate AI and ML models into back-end systems.