Senior Software Engineer - ML Infrastructure

Senior Software Engineer - ML Infrastructure

About Simpli Safe

Simpli Safe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user‑centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state‑of‑the‑art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

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  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.

• 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.

• 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, Dynamo
  
  DB and IAM.
• Expertise in containers, infrastructure automation, and CI/CD tooling.

• 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.

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long‑term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

• 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…