Job description
About Reach Security:
Reach Security (https://reach.security) builds self-driving cybersecurity. Reach employs the first generative AI for cybersecurity to oversee an organization’s current security stack, aiming to achieve the best possible security posture with the products already in use.
About the Role:
We are seeking a Backend Software Engineer to steer the development of our configuration ingestion systems. This project is pivotal in enabling Reach to accurately capture and model our customers’ existing security configurations, mapping out the hierarchies of policies to comprehensively assess security posture. By ingesting and analyzing these configurations, the system will play a crucial role feeding our recommendation engine to ensure our security insights are both relevant and impactful. The challenge involves parsing complex configurations, evaluating the impact of layered policy structures and structuring the data for mathematical analysis to extract actionable insights that will drive security recommendations. Candidates with a strong foundation in algorithms, data structures, data pipelines, data engineering, data modeling, and meta-programming in python will find this role both challenging and rewarding
The ideal candidate is a motivated problem solver who prioritizes high-quality solutions and excels in navigating ambiguity. As an early team member, you will have the opportunity to take ownership of various aspects of our backend from day one. Your role will be pivotal in establishing engineering best practices, balancing engineering priorities with business needs, and identifying innovative approaches to deliver outstanding value to our users. Your engineering knowledge will be applied by designing top-notch architectures, offering insightful feedback on technical designs, solving difficult problems and conducting thorough code reviews, all aimed at ensuring the software we build is both maintainable and dependable.
In this role, you will:
Lead and execute complex backend software engineering projects focusing on APIs, data processing, infrastructure and platform.
Drive the strategy, vision, and execution of key engineering initiatives.
Mentor and guide engineers, fostering a culture of technical excellence.
Participate in code reviews, contribute to the establishment of coding standards and ensure high-quality maintainable code.
Be self-motivated, proactive, and able to work independently in a fast-paced environment.
Author technical proposals to document and align teams on the design of complex projects.
Troubleshoot and resolve production issues, minimizing downtime and impact on business operations.
Success in this role requires:
8+ years of experience in software engineering, with a focus on backend, platform or system programming.
Keen sense for identifying business needs and can communicate a clear vision for implementing solutions.
Strong communication skills, capable of explaining technical issues to non-technical audiences.
Experience with Python and it’s ecosystem.
Experience designing and building multi-tenant SaaS platforms that ensure data isolation, scalability, and robust security.
Experience with cloud service providers in a production setting (AWS, Azure, GCP, etc.).
Experience with relational databases in a production setting.
Deep understanding of computer science fundamentals like data structures, algorithms, and computational complexity.
Proficiency in system design.
Skill in data architecture and data modeling.
Familiarity with common design patterns.
Knowledge of API design and development best practices.
Are a US citizen or Green Card holder.
Ways to stand out:
Expertise with Mathematical Optimization (e.g. route planning, supply chain optimization, scheduling).
Expertise with Logic/Relational Programming (e.g. Prolog, Minikanren, Datalog).
Expertise in data architecture, database schema design, database scaling and complex queries.
Expertise with batch or streaming data pipelines.
Expertise with platform engineering and IAC tools like Teraform, Pulumi, AWS CDK, etc.
Expertise with Control Systems Engineering (e.g. industrial automation, robotics, avionics systems).
Work arrangement:
Competitive salary and equity.
Comprehensive health, dental, and vision insurance.
Remote work flexibility.
