Chief Architect

Your Impact

• Enable scalable, extensible and easy integration of services
• Lead in creation and driving adoption of technology practices and standards
• Continue to evolve and improve our existing common design patterns, technology standards, technical governance, and methodologies
• Increase the number of products the team can handle
• Plan and direct architecture to minimize the appearance of future foreseeable issues and to maximize the flexibility of the codebase
• Improve on our critical applications through technical debt identification and reduction
• Will have the option of taking the CTO position as the Founder CTO transitions to a higher-level role in the organization.

Essential skills and qualifications

• Mastery in multiple programming languages and platforms
• Hands on software engineering background
• Track record of innovation and success in building successful products
• Ability to independently design and deliver large complex projects that solve business needs
• Consistently think and act “ahead of the curve” to anticipate and effectively respond to opportunities and threats
• Ability to see the problems in advance when working through potential architectures at the design stage
• Bringing your own ideas for improvements and being able to propose alternative solutions to business problems
• Data collection and aggregation
• Managing and mentoring direct reports and assigning tasks based on qualifications
• Setting multiple conflicting priorities and breaking large features down into smaller incremental deliverables
• Ability to know when to say “no” or “not now” to a feature.

YOU MUST BE

RESPONSIBLE:
Able to work without someone standing over your shoulder

INQUISITIVE:
Willing to learn new techniques and technologies

ADAPTABLE:
New situations happen

A good person

Useful Experience (Not required)

• Experience in rapid development short release cycles
• Evaluating employment candidates and the ongoing work of existing subordinates and mentees
• Container Orchestration such as Kubernetes
• Scalable databases such as ClickHouse, ElasticSearch, or Cassandra
• Statistical literacy (e.g. knowing the tradeoffs of weighted average vs average)
• Basic machine learning and data engineering
• Setting up full end-to-end CI and development environments.
• Frontend dev process
• Serverless environments (e.g. Cloud Functions, etc)
• Displaying data in an understandable way
• Maintaining budgets (servers, team size and other development costs)