Staff Engineer

A U.S.-based company that is developing a world-class platform that enables users to gain access to customizable learning solutions, is looking for a Staff Engineer. The engineer will be responsible for creating software that is scalable, redundant, and capable of seamless recovery. The company’s platform is providing top-tier tutoring services and dynamic learning solutions. The company has managed to secure more than $105mn during its Series C round of funding. This position requires at least 6 hours of overlap with the EST/PST time zone. 

Job Responsibilities:

• Lead an engineering team that is diverse, inclusive, and committed to consistently delighting customers
• Strong ownership qualities, growth mentality, and willingness to put in the work
• Implement consumer-facing solutions that address the demands of the customers
• Own scalable services that support our expanding learning platform
• When deploying to AWS, use CI/CD with the appropriate logging, monitoring, and alerting
• Become a mentor, a thought leader, and a champion of best practices
• Work closely with data science and product team members

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a staff engineer
• Demonstrable experience working with Python, AI, AWS, and Golang
• Prior knowledge of at-scale web application architecture, implementation, and documentation
• Solid familiarity with deployment tools like CodeShip and AWS CodeDeploy is a good choice.
• Comprehensive understanding of CSS frameworks, React, TypeScript, and modern front-end technologies
• Strong familiarity with the AWS infrastructure, including EC2, ECS, EKS, Lambda, Batch, CloudWatch, Kinesis, etc.
• Nice to be more familiar before deploying e-commerce solutions
• Ability to pick up new languages and technologies fast when required
• Nice to have some experience with programming, functional, object-oriented, design patterns, Big O, and data structures
• In-depth knowledge of Service Oriented Architecture, including contextual boundaries and communication between services, is desirable
• Familiarity with Machine Learning systems like batch and real-time machine learning systems is nice to have
• A solid understanding of configuration tooling like Terraform and AWS Cloud formation is preferred
• Nice to have some experience with Data Security, including secure coding, data protection and classification, and PCI/HIPAA/GDPR
• Excellent spoken and written English communication skills