Software Engineer II

Belva AI•Bellevue, WA

26d•Hybrid

About The Position

At Belva, we are seeking a talented and experienced Software Engineer II to join our team. We’re a trailblazing A.I. Telecommunications company, searching for an individual who can take code ownership and help lead the charge in AI / ML solutions that make an impact in the lives of millions. We are seeking a Software Engineer II to join our backend python team at Belva. As a Software Engineer II, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing how our products use ML technologies such as transformers, vector databases, etc. The ideal candidate should have at least 3 years of experience as a backend Python developer in production environments. You must have a solid understanding of how Python deployments are managed, understand virtual environments and have extensive experience with continuous integration and continuous deployment (CI/CD) best practices. You will be working as a part of a highly experienced and fast moving team of passionate product builders.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
Minimum of 3 years of professional experience as a backend Python Developer in production environments.
Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc.
Strong experience in designing and developing backend systems, API design, and microservice architectures.
Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines.
Proven track record of delivering high-quality, production-grade software solutions in a fast moving team environment.
Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications.
Must be a Citizen or Green Card Holder and live in the United States
B.S in Computer Science or equivalent experience
3+ years of professional experience as a backend Python Developer.
Excellent problem-solving skills and the ability to tackle complex challenges.
Strong verbal and written communication skills.
Openness to new ideas and an unceasing desire to learn new things.

Nice To Haves

Prior experience in leadership or mentorship roles is a plus.
Previous experience working with ML teams or on ML-driven projects is a plus but not required.
Experience with database systems such as PostgreSQL and MongoDB.
Experience with orchestration tools such as Kubernetes is desirable.
Experience with Atlassian tools: JIRA, Confluence, etc.
Familiarity with AWS services like EC2 and S3 and the ability to architect scalable Python solutions.

Responsibilities

Collaborate with our ML and Product teams to integrate Machine Learning models and data pipelines into software applications.
Design, develop, and maintain scalable backend systems that leverage ML technologies such as transformers, vector databases, and other relevant tools.
Work closely with cross-functional teams to define requirements, architect solutions, and implement features that enhance the performance and functionality of our ML-driven products.
Take ownership of development for backend components, ensuring code quality, performance, and maintainability.
Mentor and provide technical guidance to junior developers, fostering a culture of knowledge sharing and continuous learning.
Participate in code reviews, providing valuable feedback to ensure adherence to coding standards and best practices.
Collaborate with DevOps to optimize infrastructure and ensure smooth deployment and monitoring of backend services.
Troubleshoot and resolve backend-related issues, addressing performance bottlenecks, bugs, and other challenges as they arise.
Contribute to the growth and mentorship of junior developers and potentially lead project teams.
Create unit and integration tests to fully test and regress software.
Break down complex requirements into independent coding tasks and strategies.