Senior Full Stack Mobile Developer Job in Captain Fresh

You are:

• Passionate about design as a foundation of great user experience
• A self starter with a sense of what it takes to be successful as a team
• Agile - welcome change, do as less as possible and embrace continuous delivery
• Conscious about how quality is carried through from the UI to all layers underneath
• Opinionated, but flexible to accommodate the big picture
  

Responsibilities

• Analyse requirements, provide estimates and deliver code in an agile setup
• Stay on top of all owned work and raise red flags as early as possible
• Definethe architecture, best practices and coding standards for full stack development
• Supportcontinuous technical improvement by investigating alternatives and technologies and presentthemfor architectural review
• Motivateteam members, coach junior members and extendgoodwill to other employees

Qualifications

Must have

• Prior startup experience, preferably with war stories to share
• 3-5 years of software industry experience
• Solid understanding of software design, development, testing, and problem-solving
• Expertise in coding efficient, high quality and modularized software
• Expertise in React Nativeand related ecosystem
• Expertise in at least one of native Android or iOS development
• Experience with GraphQL and other modern JS ecosystems
• Expertise in common design patterns and anti-patterns Javascript
• Experience with service-oriented architecture and microservices
• Expertise in relational and non-relational databases and expertise in at least one database system
• Experience with planning, execution and maintenance of test infrastructure for backend workflows
• Knowledge of AWS
• Knowledge of Unix shell and source control systems and tools such as git
• Strong technical leadership skills
• Strong communication skills
• Technical mentoringskills

Great to have

• Experience with CI/CD and setting up a monitoring infrastructure
• Experience with Flutter
• Interest in blockchain and computer vision related ML systems
• Experience working on high traffic systems
• Bachelor s degree in Computer Science or a related discipline