Software Engineer I/II

ABOUT US

E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that.

RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture.

RADAR is already deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale.

RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond.

Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology.

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.