Jobs at Northbay

Lead the development of innovative Generative AI and machine learning solutions, mentor teams, architect AI systems, and align initiatives with business goals.

Design, implement, and manage CI/CD pipelines, develop Infrastructure-as-Code, and support ML model deployment in a DevOps role.

NorthBay seeks Database Engineers skilled in database management, migrations, and optimization across platforms like PostgreSQL and MongoDB. Responsibilities include migration strategy design, performance monitoring, and collaboration with application teams.

The MS-SQL DBA Expert will optimize SQL Server performance, troubleshoot issues, and stabilize high availability environments in cloud settings.

Seeking an Enterprise Architect with strong GenAI and AI/ML expertise to lead engineering teams and deliver AI-powered enterprise solutions.

The Senior QA Engineer will automate testing, validate AI model outputs, test API features, and collaborate across teams to ensure quality and performance.

The Senior Java Developer will design, develop, and maintain enterprise-level applications using Java and Spring Boot, collaborating with teams and mentoring junior developers.

Lead the strategy and execution of AI-powered products, focusing on Generative AI. Collaborate across teams, engage with clients, and ensure compliance with AI regulations.

Seeking an experienced Product Manager to lead strategy and execution for AI-powered products, focusing on Generative AI, with strong collaboration and communication skills.

Lead the development of GenAI and ML solutions, architect scalable AI systems, mentor a team, and align AI initiatives with business goals.

The Senior QA Engineer will design and execute test cases, develop automated scripts, validate AI models, and ensure overall feature quality.

Seeking a Senior Scrum Master with 8-12+ years experience to lead agile teams in delivering technology solutions while fostering a culture of continuous improvement.

The role involves optimizing SQL Server performance, stability, and availability. Responsibilities include troubleshooting issues, tuning SQL queries, managing HA/DR implementations, and improving monitoring and observability across clustered SQL environments.

The Product Manager for Generative AI will lead the strategy, roadmap, and execution for AI-powered products, ensuring effective collaboration and client engagement.

Lead DevOps Engineer role focused on designing and managing CI/CD pipelines, Infrastructure-as-Code, and supporting MLOps solutions. Requires collaboration with data science teams and expertise in cloud and container orchestration.

Lead the design and delivery of enterprise AI/ML solutions, managing a team of engineers and ensuring successful deployment across various architectures.

Design and implement data workflows, integrate large language models, and develop predictive analytics to support decision-making.

The role involves optimizing SQL Server performance, tuning for high availability, and troubleshooting in AWS environments. It requires advanced skills in SQL Server internals and incident management.

Develop and maintain scalable web applications, collaborate on UI/UX designs, integrate APIs, and implement testing in a hybrid role involving travel.

The Data Scientist will design LLM-powered features, develop data pipelines, and collaborate on AI integration for business decisions.