Senior Backend Engineer

### Who you are
- Bachelor degree in Computer Science or related field
- 3+ years professional experience as a software engineer
- Experience with ML systems and heavy compute workloads
- Strong programming skills with proficiency in Python or Golang
- Solid foundation in data structures and algorithms
- Development experience with Amazon Web Services or Google Cloud Platform
- Experience in developing, designing and working with Rest APIs, distributed NoSQL and relational databases, caching systems, event-driven and multi-tier architectures
- Expertise in applying software patterns and Microservices patterns
- Knowledge of cloud security best practices and cost-effective cloud architecture
- Familiarity with CI/CD, infrastructure as code
- Self-starter, analytical, creative, highly motivated with an innovative spirit
- Excellent communication skills

### What the job involves
- Genies is looking for a passionate and experienced Senior Backend Engineer to help contribute to the current and future growth of our technology platform powering our AI/ML systems
- As a Senior Backend Engineer here at Genies you will help play a vital role in solving complex technical challenges that Genies backend services encounter while we scale and grow our product suite, and also play an integral part in the growth of our engineering organization
- Seated in either our SF Bay Area office (San Mateo) or Los Angeles based HQ, and reporting to the Vice President of Engineering, our ideal candidate has extensive experience with languages like Golang, Python, or C++
- They have development experience in compute heavy areas such as AI and Graphics. They are great leaders with the ability to influence their peers and mentor other team members
- At the same time they enjoy hands-on coding, designing and working with APIs for both internal and external consumption, and thrive in solving really fun and challenging technical problems
- Develop backend microservices and systems supporting mobile and web applications
- Design and develop ML infrastructure systems
- Design and develop ML applications
- Automate, test, and deploy well-designed infrastructure, code, and services at scale
- Profile and optimize for load, latency, reliability, availability, fault tolerance
- Apply best practices in all aspects of web application development including security, testability, release management, live ops
- Collaborate with product and engineering to gather requirements and refine backlog
- Collaborate with team members on architectural designs and code reviews

### Benefits
- You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development
- You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy
- You'll enjoy the culture and perks of a startup, with the stability of being well funded
- Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance
- Competitive salaries and 401K program for all full time employees
- Flexible paid time off, sick time, monthly mental health days and paid company holidays; in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees
- Health & wellness support through programs such as monthly wellness reimbursement
- Working in a brand new, bright, open-environment and fun office space - there’s even a slide!
- Choice of MacBook or windows laptop