Lead Software Engineer - Proactive Cyber Eng
Posted Updated
Summary
Leads a team of engineers on proactive cyber engineering projects, owning technical design, code reviews, mentoring, and end-to-end delivery. Core stack is Python plus heavy SQL work (Postgres, SQL Server, Databricks) on data at scale, with agile and CI/CD practices.
- 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.