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 build data pipelines, support machine learning implementations and APIs and architect software at scale to transform how organizations use security data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. The ideal candidate will have extensive experience in web/screen scraping, data extraction, and software architecture and python package creation and maintenance.
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
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
Developing and maintaining high-performance, scalable backend services that underpin our our operational data and AI systems
Participating in ETL development and data integration efforts, ensuring data quality and accessibility for analytics applications
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
Optimizing applications for speed and scalability through performance analysis
Our primary focus in this stage of the company is on our Python backend and Databricks delta lake
Relational databases (e.g., MySQL, PostgreSQL), and NoSQL databases (e.g., MongoDB, Cassandra)
Cloud services (AWS, Azure, Google Cloud) and their data-related offerings
Distributed systems technologies such as Spark
A love of problem solving, a transparent and balanced work culture, and a focus on customer outcomes
A deep understanding of server-side logic, efficient data handling, and distributed systems
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
Experience building high-quality software in a fast-paced CI/CD development environment
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 working in a constantly evolving environment with dynamic objectives and iteration with users
Medical, dental, and vision insurance
Paid leave for new parents and emergency back-up care for all parents
Unlimited paid time off
The estimated salary range for this position is estimated to be $155,000 - $225,000/year. Total compensation for this position will also include generous stock options. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors.
Don't check off every box in the requirements listed above? Please apply anyway! Studies have shown that marginalized communities - such as women, LGBTQ+ and people of color - are less likely to apply to jobs unless they meet every single qualification. Empirical Security is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!