HearstLab
Open positions
Senior Engineering Manager, Infrastructure
Genius AI is seeking a leader for our Compute, Data, and DevEx teams to drive the technical roadmap for infrastructure and data platforms, set the reliability bar, manage vendor spend, and build a self-service platform…
Staff Software Engineer, Backend
Staff Backend Engineer at GlossGenius (via HearstLab) responsible for architecting AI-powered products, integrating LLMs into production systems, and setting technical direction, with a focus on Kotlin, AWS, and Kubernetes.
AI Engineer
Develop generative AI solutions to enhance a platform and support client integrations, using Python and frameworks like TensorFlow or PyTorch.
Senior Rails Engineer
Senior engineer building and maintaining Ruby on Rails applications for public-agency clients, using Bootstrap, Stimulus, and Postgres while mentoring junior engineers.
Chief Technology Officer
Chief Technology Officer leads technical strategy for a cloud-native AI SaaS platform, overseeing architecture, scalability, and cross-functional alignment to drive product innovation and business growth.
Contract Software Developer
Contract developer building AI-powered documentation tools and enterprise integrations using JavaScript, React, Python, and AWS for a 2-month project with potential for extension.
Software Engineer - Platform
Develop and maintain Kubernetes-based cloud infrastructure platforms, focusing on scalability, reliability, and engineering user experience.
Solutions Architect
Leads technical pre-sales for Kubernetes-based cloud solutions, guiding customers through adoption and defining tailored deployments across private and public clouds.
Senior Data Engineer
Senior Data Engineer builds and maintains a high-volume data platform (7TB every 90 minutes) using Python, SQL, PostgreSQL, and Airflow to power analytics for internal and external stakeholders.
DevOps Engineer
Builds and maintains secure, scalable SaaS infrastructure using AWS, automates CI/CD pipelines, and integrates security best practices into DevOps workflows.