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30 Sia Partners Jobs
Senior Software Engineer
Sia Partners
posted 3+ weeks ago
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Key skills for the job
Job Description
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
- Education: Bachelor s/masters 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 C#, as well as 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.
Employment Type: Full Time, Permanent
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