Senior Software Engineer, Censys

AI/LLM

$159-225k

Salary benchmarked on USD rates and may differ on location + bonus eligibility and equity

Kubernetes

Python

Senior and Expert level

Remote from Canada, US

Attack surface management & internet visibility

Open for applications

Attack surface management & internet visibility

101-200 employees

B2BEnterpriseInternet of ThingsCyber SecurityCloud Computing

Open for applications

$159-225k

Salary benchmarked on USD rates and may differ on location + bonus eligibility and equity

Kubernetes

Python

Senior and Expert level

Remote from Canada, US

101-200 employees

B2BEnterpriseInternet of ThingsCyber SecurityCloud Computing

Company mission

To empower enterprises with the tools and insights to manage their attack surface effectively, without compromising the speed of the business.

Job

Company

Role

Who you are

7+ years of software engineering experience, including 2+ years building and scaling AI-powered user-facing features
Strong proficiency in Python for backend and API services development
Familiarity with RAG evaluation frameworks (e.g., RAGAS, LangSmith) and designing regression testing for LLM pipelines
Ability to rapidly prototype, validate and refine AI features in a fast-paced, experiment-driven environment
Prior knowledge in prompt engineering improving LLM accuracy, reasoning and consistency
Understanding secure and responsible AI practices, implementing guardrails and safety checks to prevent misuse or data exposure
Hands-on experience with CI/CD pipelines, test automation, and deployment best practices for AI applications
Strong cross-team collaboration to ensure AI capabilities elevate the overall user experience on the Platform

Desirable

Leveraging AI tools as a force multiplier to code smarter, iterate faster boosting productivity and improving product capabilities
Advanced knowledge of AI/ML architectures, model evaluation, and applied deep learning
Experience with retrieval-augmented generation (RAG), vector search, and LLM fine-tuning
Understanding of embedding models and AI-driven analytics
Proven ability to optimize AI models for low-latency, real-time interactions in browser or frontend environments
Experience deploying secure AI systems in cybersecurity or other sensitive data domains
Strong understanding of Kubernetes networking, scaling, and monitoring for AI-driven services

What the job involves

Censys is seeking a highly experienced Senior Software Engineer focused on AI and LLMs
You will work as part of our platform team building high impact product features and workflows fuelling our Censys platform experiences
You'll work closely with product and across engineering teams dedicated to understanding customers’ business needs and to translate complex requirements into well-architected AI enabled interactions within our platform
By fostering a culture of learning and cross collaboration, we aim to build secure infrastructures tailored to our customers' unique requirements
You’ll help shape how the world sees the Internet building AI-powered experiences that make Censys platform smarter, sharper and more intuitive to explore every signal and threat
Rapidly prototype and deploy AI-powered features to enhance search, improve recommendations, and automate workflows across the Censys Platform
Apply machine learning to streamline workflows, personalize experiences, and surface critical insights
Develop and fine-tune LLMs and RAG pipelines to reason over Internet-scale data, summarize findings, and deliver context-aware insights
Build, scale and maintain AI-driven analytics and automation systems helping users make faster, data-backed decisions
Collaborate with frontend, product, and data engineering teams to integrate AI-native experiences that feel seamless, intuitive, and secure
Continuously evaluate and improve model performance through RAGAS, LangSmith, and automated regression testing frameworks

Our take

Censys is the leading provider of continuous attack surface management, as its platform provides the world’s most comprehensive real-time view of global networks and devices. Its market-leading internet datasets and comprehensive certificate database, as well as its integrations with common cloud providers, uncover the hidden links between assets, unknown assets and associated risks, and provides a comprehensive internet inventory.

Some of its customers include Google, NATO, FireEye, Swiss Armed Forces, the U.S. Department of Homeland Security, and over 10% of the Fortune 500. While the company has been growing rapidly (seeing triple-digit year on year revenue growth) Censys remains focused on accelerating R&D, engineering, and product/sales operations, particularly in Western Europe.

$75 million in funding awarded in 2023 is being used to fund its expansion and consolidate its status as a leading player in global internet infrastructure. Between 2022 and 23, the company enjoyed a 130% annual growth, an upward trajectory that is only set to continue.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.1)

Company

Funding (last 2 of 4 rounds)

Oct 2023

$50m

SERIES C

Jan 2022

$35m

SERIES B

Total funding: $103.1m

Company benefits

Remote Work Opportunities
Health & Wellness Benefits
401K
Family Medical Leave
Maternity & Paternity Leave
PTO, Sick Days, Bereavement Leave
Employee Assistance Program
Learning & Development

Company HQ

Old West Side, Ann Arbor, MI

Leadership

Brad Brooks

(CEO, not founder)

Board Advisor at WeTransfer and is the Director of the Board at ARC Document Solutions. Former President & CEO of OneLogin.

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