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 FastAPI, 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 FastAPI.

• 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, DevOps, 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 FastAPI.

• 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 NoSQL databases).

• Experience with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).

• Familiarity with CI/CD pipelines and IaC tools like Terraform or CloudFormation.

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.