Top Software Engineer Jobs

As a Principal Infrastructure Engineer, you will lead the strategy and execution of Movable Ink's infrastructure projects, enhancing scalability, reliability, and security. You'll collaborate with various teams, oversee the migration to Infrastructure as Code, and manage cloud cost optimization on GCP, ensuring a robust infrastructure for our Da Vinci Platform.

As a Machine Learning Engineer, you will develop and deploy machine learning models for a content recommender system, collaborate with data engineers, derive insights from customer behavior, and continuously improve AI solutions.

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

As a Senior Site Reliability Engineer, you will enhance tooling and automation for infrastructure, support core applications, monitor system performance, and work with SRE and engineering teams to ensure service quality. You will also operate large-scale observability platforms and engage in an on-call rotation.

As a Senior Implementation Architect, you will lead the technical onboarding of clients to Movable Ink's platform, designing custom solutions for their marketing objectives. You will troubleshoot integration issues, conduct training sessions, and collaborate with various teams to ensure successful implementations while staying updated on product features.

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.