Full Stack Engineer
Menlo Park
Engineering – Engineering /
Full Time /
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk so disasters aren’t so disastrous.
At One Concern, we believe an informed world is an inherently fairer one. Because incomplete information leads to false assumptions and poor decisions. That’s how cities are built in the wrong places, businesses are left inoperable after the shocks of natural hazards, and vulnerable people in communities are left paying the price. We believe we can change this. We believe that by pioneering cutting-edge science, we can make disasters less disastrous. And ultimately, realize planetary-scale resilience.
Fostering global resilience starts with our team, and as a full stack engineer you will be at the core of it. One Concern is growing rapidly and we are looking for passionate, motivated, and ambitious engineers to join our team. Our engineering challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support geographies in the order of 100,000 people and in the order of 100 million.
We are looking for a Full Stack Engineer who will be working with both front-end and back-end engineers helping in rapid prototyping and building the platform to improve the entire customer experience. You will be looked upon as an advisor and an integral part of our organization – we aren't looking for "lone ranger" programmers. You are reading this because you love learning new things and architecting solutions.
Requirements
- 5+ years experience
- Proficiency in Argo and/or Kubernetes
- Fluency in one of the following: Go, Python or React
- Google Cloud experience
- Strong understanding of system performance and scaling
- Strong knowledge of databases, preferably PostgreSQL in particular with PostGIS
- Ability to thrive in a fast-paced environment
Bonus if You Have
- Experience building and productionizing innovative end-to-end Machine Learning systems
- Experience with large datasets
- Knowledge of Amazon Web Services
- B.S/M.S in Computer Science, Engineering or Mathematics
Perks and Benefits
- Market-competitive salary plus equity
- Comprehensive medical, dental, and vision insurance
- Daily lunches, and a fully-stocked kitchen
- Generous PTO policy
- Flexible working hours
