Job Openings Lead Software Engineer - Proactive Cyber Eng

About the job Lead Software Engineer - Proactive Cyber Eng

  • Lead and oversee a team of engineers to ensure successful project delivery, from inception to deployment.
  • Define technical requirements and ensure alignment with business objectives.
  • Contribute to architectural decisions and technical designs.
  • Coordinate with product owners and stakeholders to prioritize tasks and allocate resources.
  • Provide technical guidance and mentorship to team members.
  • Facilitate communication and collaboration within the team.
  • Ensure adherence to coding standards, best practices performing code reviews and providing constructive feedback to peers.
  • Identify and address technical debt and architectural weaknesses.
  • Evaluate and mitigate technical risks associated with projects, ensuring smooth progress and timely delivery.
  • Champion quality-focused software development, enforcing quality assurance standards, processes, testing methodologies, and driving initiatives to improve the development team efficiency (like automation, CI/CD).

Requirements

  • Overall experience 8+ years, Python experience 5+ years
  • Hands on experience with Python Development
  • You are able to grasp, articulate, and advocate for technological solutions in both technical and non- technical settings and intelligently apply agile principles as you do so.
  • You are able to interrogate and present data and data analysis and have a willingness to present results of analysis undertaken as a part of your teams work.
  • You have demonstrable experience as a technical lead developer or engineer with a focus on Python.
  • You love SQL (Postgres, SQL Server, Databricks)
  • You are comfortable working without an ORM.
  • You are familiar with the challenges of working with data *at scale*.
  • You prefer the command line use of git, bash/zsh, and (optionally) vim.
  • An undergraduate degree or demonstrable knowledge and experience of concepts in Computer Science, Software Engineering, Logic, Applied Statistics, Actuarial Science, Data Science, or any related discipline
    would be advantageous.