Architect Python

Key Responsibilities & Accountabilities

Lead and oversee a team of engineers to ensure successful project delivery from inception through deployment. Define technical requirements and ensure they align with business objectives. Contribute to architectural decisions and technical designs coordinating with product owners and stakeholders to prioritise tasks and allocate resources effectively. Provide technical guidance and mentorship to team members facilitating collaboration and clear communication within the team. Ensure adherence to coding standards and best practices by performing code reviews and offering constructive feedback. Identify and address technical debt and architectural weaknesses while evaluating and mitigating technical risks to maintain smooth project progress and timely delivery. Champion quality-focused software development by enforcing quality assurance standards testing methodologies and driving initiatives to improve development efficiency including automation and CI/CD pipelines.

Skills & Ability

You are able to grasp articulate and advocate for technological solutions in both technical and non-technical settings and intelligently apply agile principles. You can interrogate and present data analysis results as part of your teams work. You have demonstrable experience as a technical lead or senior engineer with a focus on Python. You have some experience integrating with ITSM platforms such as Freshdesk and Freshchat APIs including REST calls and webhooks and can troubleshoot API calls JSON payloads and integration issues. You have web frontend awareness for widget configuration when needed sufficient to collaborate effectively and strong SQL skills including Postgres SQL Server or Databricks with the ability to work without an ORM. You are comfortable using the command line with git bash or zsh and optionally vim. You understand outbound communication flows including email and push branding and template configuration. An undergraduate degree or demonstrable knowledge and experience in Computer Science Software Engineering Applied Statistics Actuarial Science Data Science or a related discipline is advantageous.