Senior Software Engineer ML Infrastructure

About SimpliSafe

SimpliSafe 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.

Were 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.

Why are we hiring

Well were 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.

About the Role

We are seeking a Senior Software Engineer to design and build the infrastructure that powers machine learning (ML) and computer vision (CV) development and this role youll 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.

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.

Qualifications

• 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 Have

• 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.

What Values Youll Share

• 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.

What We Offer

• 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.

The target annual base pay range for this role is $152000 to $224000.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages including base pay taking into consideration employees job-related skills experience qualifications work location and other relevant business factors.

Beyond base pay we offer a Total Rewards package that may include participation in our annual bonus program equity and other forms of compensation in addition to a full range of medical retirement and lifestyle benefits. More details can be found here.

Were committed to fair and equitable pay practices as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals no matter how they identify. We are committed to cultivating a diverse and inclusive workplace and we believe our work is enriched when we incorporate a multitude of perspectives backgrounds and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process to perform the essential functions of a position or to receive other benefits and privileges of employment please contact .