About UsAmperis a rapidly-growing IoT startup that helps manufacturers unleash their potential with modern software to run operations.
We build a simple but powerful platform that helps manufacturers reduce costs, increase visibility, and drive efficiency. We believe in keeping things simple and easy-to-understand - and our culture and products are a reflection of that. For example, it takes a few minutes to self-install Amper on any kind of industrial machine - like a consumer device and without the traditional hassle of integration.
Our vision is to build the market-leading FactoryOS to enable cutting-edge operations, and we are investing in the next level of growth across our GTM and product teams. We are a venture-backed startup with a distributed team and HQ in Chicago.
About YouWe're growing our engineering team and we're looking for senior full-stack engineers to continue building our customer-facing and internal products.
Working as a full-stack engineer at Amper means working in a wide variety of contexts. We build large APIs as well as microservices. We write a lot of Python. Our front ends are largely React alongside some third party tools. We need to build for the web and for mobile. Sometimes we're working through the challenges of distributed systems, sometimes we're tuning a single database query because we need that extra bit of performance.
Being an engineer at Amper also means being a "product person." Our engineers don't just move tickets from pile A to pile B. Led by a Product Owner, you'll help us work through new ideas and figure out the best way to implement them.
You'll enjoy working at Amper if you:
Have a strong appetite for the unfamiliar; that includes technical content as well as solving problems our customers face
Believe that being helpful and humble are just as important as technical know-how
Can teach the things you know well, and acknowledge what you can learn from others
RequirementsExcellent written and verbal communication skills
Experience designing distributed and highly-available systems, weighing trade-offs, and guiding others through implementation
Fluency with:
One or more object-oriented languages (Python preferred)
Relational databases; performance tuning, sharding
Distributed systems; containerization, message queues, parallelism
Preferences5+ years of professional engineering experience
Knowledge of DevOps tooling and practices (CI/CD, Monitoring)
Experience deploying infrastructure (Infrastructure-as-code, cloudformation, ansible)
BenefitsUnlimited PTO, 2-week minimum
401(k) plan
Health insurance (medical, vision, and dental)
Flexible work schedule
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