The company is looking to advance its capabilities in AI and data science by designing and delivering state-of-the-art platforms, frameworks, and services that form the backbone of Data and AI at Headspace.
Requirements
- 3+ years of experience with AWS and MLOps practices
- 2+ years of experience with TypeScript and Terraform
- 4+ years of software engineering experience, including at least 2 years in large businesses or enterprise environments
- 3+ years of experience deploying and configuring software configuration management, build and deployment processes, CI/CD pipelines, and other application lifecycle management tools on AWS
- Strong experience designing and implementing robust, highly scalable, and reliable services in production environments
- Experience with Infrastructure as Code (IaC) tools like Terraform
- Experience with CI/CD pipelines and automation frameworks
Responsibilities
- Lead and drive initiatives end-to-end, spanning multiple layers of architecture and business domains
- Design, implement, and optimize ML-related architecture in AWS using Infrastructure as Code (IaC) tools like Terraform
- Establish and maintain robust CI/CD pipelines to automate testing, deployment, and monitoring of ML models and services
- Build and improve productivity-enhancing tools and frameworks for AI and ML practitioners
- Drive the development and adoption of advanced self-service capabilities and automation frameworks
- Develop and provision automated alerts, detailed metrics, and advanced monitoring solutions for critical ML pipelines
- Mentor junior engineers and collaborate with cross-functional teams to deliver scalable and impactful ML infrastructure solutions
Other
- Bachelor of Science degree or higher in Computer Science, Engineering, or a related field
- Proven ability to lead cross-functional initiatives and deliver solutions end-to-end, from inception to production
- Strong problem-solving and communication skills, with the ability to influence decisions and collaborate effectively across internal teams
- 3 days per week in-office work requirement in San Francisco office
- Must be eligible to work in the United States
