Software Engineer, Backend Developer

Empirical Security builds cybersecurity models and software for data-driven decisions and operations. Our platforms empower our customers to make security decisions using the best available data from across the industry, paired with their own data and state of the art machine learning and AI. Our product is a Unified Posture Management Platform that provides visibility of risk across all attack surfaces.

Software Engineers at Empirical Security craft web applications that deliver novel security data, build data pipelines that power machine learning systems and architect software at scale to transform how organizations protect themselves. Our Software Engineers are involved throughout the product lifecycle, from idea generation and design to prototyping, development and production delivery. The ideal candidate will have experience building user facing web applications, designing powerful APIs and scaling systems to handle growing volumes of data.

You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader.

Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new data pipeline that enables a novel workflow, the next you could be fine-tuning performance.

• Architecting and creating software solutions for complex high volume data environments with a strong focus on product quality and data integrity

• Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team

• Designing efficient data structures and algorithms to manage large-scale and high throughput data

• Supporting the management and optimization of data storage and warehousing solutions

• Building robust APIs for use by front-end developers and interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logic

• Optimizing applications for speed and scalability through performance analysis

• Participating in ETL development and data integration efforts, ensuring data quality and accessibility for analytics applications

• Our modern Ruby on Rails app (Turbo Streams, Phlex, RubyLLM) allows customers to interact with their security data

• Our custom data pipelines are built with Python and ingest all manner of security data

• We use relational databases (e.g., MySQL, PostgreSQL) and analytical data stores (e.g., Iceberg, S3
  
  Tables) to power data exploration

• Our software runs atop cloud services (AWS, Azure, Google Cloud) and their data-related offerings

• A love of problem solving, a transparent and balanced work culture, and a focus on customer outcomes

• Strong focus on creating user-oriented workflows and solutions, crossing product boundaries to deliver cohesive and solid user workflows that ensure a seamless and intuitive user experience

• A deep understanding of server-side logic, efficient data handling, and distributed systems

• Ability to work collaboratively in teams of technical and non-technical individuals and understand how technical decisions impact the people who will use what you're building

• Skill and comfort…