~1mo ago

Lead Software Engineer - Proactive Cyber Eng

OtherSoftware EngineerSoftware EngineeringLead Software Engineer

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Quick Summary

Overview

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.

Technical Tools

OtherSoftware EngineerSoftware EngineeringLead Software Engineer

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

~1 min read

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.