Trigyn has a contractual opportunity for a Senior Back-end Engineer. This resource will be working Remotely.
Job Description:
The Senior Back-end Engineer will drive the development of scalable, efficient, and innovative backend systems for the project’s generative AI applications. The consultant will have deep expertise in Python, particularly Fast API, a strong understanding of generative AI workflows, and experience with cloud infrastructure. As a technical leader, the consultant will guide the back-end engineering team, build robust APIs, and ensure seamless integration with AI-driven systems
1. Technical Leadership:
• Support the design, development, and optimization of backend services and APIs using Python and Fast API.
• Provide architectural support for systems integrating with generative AI models and services.
• Ensure high performance, scalability, and reliability of backend systems.
2. Generative AI Integration:
• Collaborate with data scientists and ML engineers to deploy generative AI models in production.
• Build and optimize APIs for AI model inference, including managing input/output pipelines for real-time and batch processing.
• Implement features such as caching, load balancing, and vector search to enhance AI system performance.
3. Cloud Infrastructure Management:
• Architect and maintain backend systems on cloud platforms (AWS, Azure, or GCP).
• Leverage cloud-native services to ensure secure, scalable, and cost-effective infrastructure.
• Manage deployment pipelines using containerization (Docker) and orchestration tools (Kubernetes).
4. Team Collaboration:
• Collaborate with the team of backend engineers, fostering a culture of collaboration, innovation, and technical excellence.
• Work closely with the frontend, Dev Ops, and product teams to align backend development with business goals.
• Conduct code reviews and ensure adherence to best practices.
5. Performance Monitoring & Optimization:
• Monitor backend systems for performance, reliability, and scalability.
• Optimize database queries, API response times, and resource utilization.
• Implement robust logging, monitoring, and alerting systems.
6. Emerging Technology Adoption:
• Stay updated with advancements in backend technologies, generative AI, and cloud computing.
• Recommend and integrate new tools and frameworks to improve system capabilities..
Experience:
• 5+ years of experience in backend engineering, with at least 2 years leading teams or projects.
• Proven expertise in developing APIs and backend services using Python and Fast API.
• Hands-on experience with generative AI applications, including model integration and deployment.
Technical Skills:
• Strong proficiency in AWS cloud platform and services like Lambda, ECS, S3, or equivalent. Azure or GCP may be acceptable.
• Expertise in database design and optimization (SQL and No SQL databases).
• Experience with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).
• Familiarity with CI/CD pipelines and Ia C tools like Terraform or Cloud Formation.
Soft Skills:
• Strong problem-solving abilities and attention to detail.
• Excellent communication and leadership skills, with the ability to collaborate across teams.
• Ability to prioritize and manage multiple projects effectively.
Education:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
