Software Engineer I at RADAR in San Diego, CA

ABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We are looking for a Full Stack Software Engineer to join our team and contribute to building high-quality, scalable applications. This role is ideal for engineers with a solid foundation in both front-end and back-end development who are eager to learn, collaborate, and grow in a dynamic environment. You’ll work alongside experienced engineers to develop new features, optimize performance, and ensure seamless integration across the tech stack. This is an onsite role based in our Seattle, WA location Responsibilities: Build and ship product as part of one of our core engineering teams, contributing where you can have the most impact Take end-to-end ownership of features, from design and implementation through deployment and monitoring Practice test-driven development and pair programming as part of your everyday workflow Deploy and operate services on Google Cloud and Kubernetes, contributing to reliability, performance, and observability Collaborate closely with hardware, data, and product teams to integrate RFID pipelines into production systems Write clean, well-tested code in Java and/or Python Participate in code reviews, architectural discussions, and sprint planning Help shape the engineering culture and practices of a fast-growing, mission-driven startup ABOUT YOU Required: Bachelor's degree in Computer Science, Software Engineering, or equivalent experience 2+ years of professional software engineering experience Proficiency in Java and/or Python Understanding of containerization and orchestration concepts (Kubernetes) Ability to interview onsite at one of our offices (Seattle, Sunnyvale, or San Diego) Ability to work onsite 4 days per week at one of our office locations Preferred: Experience with test-driven development or pair programming in a professional setting Experience working in Linux-based environments Familiarity with cloud infrastructure, preferably Google Cloud Hands-on experience with Kubernetes in production environments Experience with Google Cloud Platform services (GKE, Pub/Sub, BigQuery, etc.) Background in IoT, embedded systems, or hardware-adjacent software Familiarity with RFID or real-time data pipelines Experience at an early-stage or high-growth startup Comfort working across areas of a codebase outside your primary background Strong opinions about system design, paired with a genuine openness to other perspectives WHAT YOU'LL DO In your first 30 days, you will: Learn Radar’s mission, technology stack and core values. Complete onboarding and security compliance training. Shipped code into production used by 100,000+ customers Fixed or contributed to at least 3 defects or features across at least one functional area Paired with at least 2 Staff+ engineers Begun absorbing the RADAR culture and ways of working In your first 60 days, you will: Averaging 1.5 defects fixed and properly tested per week Consistently in the office 4 days a week Aligned to a functional area and going deeper Established one or two key pairing relationships with teammates Attending on-call meetings and getting familiar with our operations Demonstrating high caliber code and testing quality consistently In your first 90 days, you will: Settled into a functional area and contributing consistently Averaging closer to 2 defects resolved and tested per week Officially part of the on-call rotation At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $120,000 - $150,000 Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.