Senior Software Engineer - ML Infrastructure
About The Position
We are seeking a Senior Software Engineer to design and build the infrastructure that powers machine learning (ML) and computer vision (CV) development and deployment at scale. In this role, you’ll collaborate closely with ML scientists, ML engineers, and adjacent product and platform teams to deliver robust, production-ready software solutions that support the full ML lifecycle. You will contribute to team-wide initiatives spanning software architecture, data processing, and engineering best practices, and you will create and maintain documentation covering software design, implementation, and testing methodologies across the ML data lifecycle.
Requirements
- 5+ years of experience building software systems and infrastructure.
- 3+ years of experience deploying and supporting production solutions on AWS.
- Experience building and operating production applications on Kubernetes.
- Experience with AWS data services such as Athena, Glue and Kinesis.
- Familiarity with AWS services such as Lambda, Dynamodb and IAM
- Expertise in containers, infrastructure automation, and CI/CD tooling.
Nice To Haves
- Experience supporting or building platforms for ML or data-intensive systems.
- Exposure to LLM-powered applications, including evaluation, inference, or integration into production systems.
- Experience with distributed compute frameworks (e.g., Ray, Spark).
- Background in building secure, compliant systems in cloud environments.
Responsibilities
- Design, build, and maintain software systems and infrastructure that support the end-to-end ML lifecycle.
- Support the development and operation of production-grade machine learning solutions.
- Develop and operate microservices in a public cloud environment (AWS, Azure, or GCP).
- Collaborate cross-functionally with ML and platform teams to deliver scalable solutions.
- Provide technical guidance and mentorship to engineers.
- Promote and practice high engineering standards, including unit, integration, and mock testing.
- Contribute to cloud infrastructure automation, CI/CD pipelines, and containerized deployments.
- Take ownership of projects with a proactive, “can-do” mindset.
Benefits
- A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
- A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
- Free SimpliSafe system and professional monitoring for your home.
- Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
