Python Backend Engineer

Dice Career Opportunity

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Azaaki Solutions, is seeking the following. Apply via Dice today!

Role: Python Backend Engineer

• Location: Los Gatos, CA (Hybrid, 3 days work from Office)
• Type: Full-Time

Job Description

Looking for an ambitious and highly proficient Backend Engineer with a keen eye for detail, to develop best-in-class MLOps capabilities, support the MLOps infrastructure & optimize the AI platform.

The opportunity

To play a key supporting role in shaping the overall MLOps strategy & capabilities by writing business logic, server scripts and APIs for critical MLOps projects.

Skills and attributes for success

The yardsticks of your success would include cost savings, number of successful projects, number of new and existing solutions & processes optimized, and customer NPS.

• Bachelor of Computer Science, Computer Engineering, Software Engineering, or related field
• 5+ years plus industry experience
• Knowledge and experience of the Kubernetes ecosystem, Docker and Docker Compose
• High level experience with backend application frameworks such as Spring, Flask, Fastapi, Hasura, Swagger, SonarQube, CI/CD, Hibernates, etc. (please check these for spelling and relevance)
• Knowledge of Cloud platforms: AWS, Azure, Google Cloud Platform
• Knowledge of Server Technologies: event-pipeline, pub/sub, data streaming, distributed caching, computing and storage, ESB, ELK

Ideally, you'll also have

• A persevering spirit and can-do approach to problem-solving
• Proven problem-solving skills with a keen eye for detail
• Superior presentation and documentation skills
• Outstanding communication skills

Your key responsibilities

• Conceive and develop the backend systems & services that power our MLOps capabilities.
• Collaborate as a backend developer to optimize our systems and platforms.
• Build and implement backend servers, REST APIs, data pipelines, etc.
• Drive architectural decisions and work with data science teams to fine-tune machine-learning algorithms.
• Take ownership of complete delivery from ideation and defining requirements to go-live.
• Collaborate with backend engineers, frontend engineers, designers and product managers to deliver delightful customer experiences.
• Collaborate, coach, and mentor colleagues in an energetic, growing team.
• Manage stakeholders and drive larger business goals.
• Keep abreast of the latest technology trends.
• Coach, mentor and advise junior engineers.
• Document and track project workflows & best practices.