<p>ABOUT THE JOB</p> <p>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.</p> <p>This is an onsite role based in our Seattle, WA location</p> <p>Responsibilities:</p> <ul> <li>Build and ship product as part of one of our core engineering teams, contributing where you can have the most impact </li><li>Take end-to-end ownership of features, from design and implementation through deployment and monitoring </li><li>Practice test-driven development and pair programming as part of your everyday workflow </li><li>Deploy and operate services on Google Cloud and Kubernetes, contributing to reliability, performance, and observability </li><li>Collaborate closely with hardware, data, and product teams to integrate RFID pipelines into production systems </li><li>Write clean, well-tested code in Java and/or Python </li><li>Participate in code reviews, architectural discussions, and sprint planning </li><li>Help shape the engineering culture and practices of a fast-growing, mission-driven startup </li></ul> <p>ABOUT YOU</p> <p>Required:</p> <ul> <li>Bachelor's degree in Computer Science, Software Engineering, or equivalent experience </li><li>2+ years of professional software engineering experience </li><li>Proficiency in Java and/or Python </li><li>Understanding of containerization and orchestration concepts (Kubernetes) </li><li>Ability to interview onsite at one of our offices (Seattle, Sunnyvale, or San Diego) </li><li>Ability to work onsite 4 days per week at one of our office locations </li></ul> <p>Preferred:</p> <ul> <li>Experience with test-driven development or pair programming in a professional setting </li><li>Experience working in Linux-based environments </li><li>Familiarity with cloud infrastructure, preferably Google Cloud </li><li>Hands-on experience with Kubernetes in production environments </li><li>Experience with Google Cloud Platform services (GKE, Pub/Sub, BigQuery, etc.) </li><li>Background in IoT, embedded systems, or hardware-adjacent software </li><li>Familiarity with RFID or real-time data pipelines </li><li>Experience at an early-stage or high-growth startup </li><li>Comfort working across areas of a codebase outside your primary background </li><li>Strong opinions about system design, paired with a genuine openness to other perspectives </li></ul> <p>WHAT YOU'LL DO</p> <p>In your first 30 days, you will:</p> <ul> <li>Learn Radar's mission, technology stack and core values. </li><li>Complete onboarding and security compliance training. </li><li>Shipped code into production used by 100,000+ customers </li><li>Fixed or contributed to at least 3 defects or features across at least one functional area </li><li>Paired with at least 2 Staff+ engineers </li><li>Begun absorbing the RADAR culture and ways of working </li></ul> <p>In your first 60 days, you will:</p> <ul> <li>Averaging 1.5 defects fixed and properly tested per week </li><li>Consistently in the office 4 days a week </li><li>Aligned to a functional area and going deeper </li><li>Established one or two key pairing relationships with teammates </li><li>Attending on-call meetings and getting familiar with our operations </li><li>Demonstrating high caliber code and testing quality consistently </li></ul> <p>In your first 90 days, you will:</p> <ul> <li>Settled into a functional area and contributing consistently </li><li>Averaging closer to 2 defects resolved and tested per week </li><li>Officially part of the on-call rotation </li></ul> <p>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.</p> <p>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.</p> <p>Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.</p>