Software Engineer I - Video Platform

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

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.

As a Software Engineer 1 on SimpliSafe’s Video team, you’ll help build and operate the cloud-based systems that power live streaming and video recording for SimpliSafe cameras.

Our team owns the backend microservices that ingest, process, store, and deliver video in real time—serving customers, monitoring agents, and machine learning systems. We operate at scale and in a safety-critical domain, where reliability, performance, and simplicity matter deeply.

You’ll work closely with more senior engineers, product managers, and partner teams to learn how we design, build, and improve these services, while contributing real code from day one.

• →Work closely with senior engineers and your manager to learn our codebase, systems, and engineering practices while contributing to real features from day one.
• →Use AI-assisted development tools, including Claude Code, to accelerate coding, testing, and debugging, and continually build your skill at working effectively alongside AI in your day-to-day engineering work.
• →Help design, build, and maintain backend services that support live video streaming and recording, under the guidance of more senior engineers.
• →Write clean, well-tested code, learning to apply best practices for maintainability and long-term ownership.
• →Debug issues and make incremental improvements to existing systems as you build context on how our services work.
• →Learn and apply best practices for designing and operating distributed systems by working alongside senior engineers.
• →Participate in design discussions and code reviews, both giving and receiving feedback, as a way to sharpen your engineering skills.
• →Document systems and workflows so knowledge is shared and services stay easy to evolve.
• →After an onboarding and ramp-up period, join the on-call rotation as a first responder, with support and mentorship from more senior engineers.

• A Bachelor's degree in Computer Science, Computer Engineering, or a related field, completed or expected soon (or equivalent practical experience).
• A solid foundation in data structures, algorithms, and object-oriented design principles.
• Exposure to at least one modern programming language (e.g., TypeScript, C#, Go, Java) through coursework, internships, or personal projects.
• Familiarity with version control (e.g., Git).
• Basic understanding of distributed systems concepts (e.g., APIs, asynchronous processing) gained through coursework or projects.
• Strong problem-solving skills and attention to detail.
• Curiosity, humility, and a genuine desire to continuously learn and grow.
• Comfort working collaboratively in a team environment and communicating clearly about your work.

• Internship, co-op, research, or personal/open-source project experience building software.
• Exposure to video, streaming, or real-time data systems.
• Familiarity with microservice architectures, message queues, or event-driven systems.
• Exposure to cloud platforms, particularly AWS.
• Coursework or projects involving machine learning or analytics pipelines.

• 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.