Our Mission
We are a forward-thinking cybersecurity company dedicated to protecting thousands of developers worldwide. Our mission is to ensure the safety and integrity of the global software supply chain through cutting-edge systems and solutions. Currently we are focused on building the world's first AI-powered Software Supply Chain Firewall.
If you're passionate about innovation, collaboration, and making a meaningful impact, we want you to join our team.
The Role
As a Senior Data Engineer on our team, you'll be instrumental in building and scaling our Data Engine - the foundation that powers all our products and enables our AI-powered security capabilities. You'll architect and implement data pipelines that aggregate package information, vulnerability data, version data, and reachability support across multiple ecosystems including Python, JavaScript, and Java. Your work will enable near real-time ingestion and processing of critical security data while maintaining the highest standards of quality and reliability.
You'll bring real-world experience in designing data systems at scale, providing architectural guidance and introducing best practices that will shape how we handle millions of data points daily. Your impact will be felt across the organization as you build the infrastructure that enables our security products to protect thousands of developers worldwide.
As we evolve our AI-powered security solutions, you'll have the opportunity to work with machine learning pipelines, feature engineering, and help shape how we leverage LLMs and traditional ML models to enhance our threat detection capabilities.
Requirements
What You'll Do
Design and implement data pipelines that support ML model training and inference, including feature stores and model monitoring infrastructure
Architect data infrastructure solutions on AWS that can handle high-throughput data ingestion and processing
Implement robust data quality frameworks to ensure accuracy and reliability of our security intelligence
Create efficient ETL/ELT processes for aggregating data from multiple sources and ecosystems
Build monitoring and alerting systems to ensure pipeline health and data freshness
Collaborate with product and research team to understand data requirements and deliver solutions
Drive technical decisions around data architecture, tool selection, and processing frameworks
Establish data engineering best practices
About You
Strong expertise in Python with experience building production data pipelines
Deep hands-on experience with AWS services (S3, Lambda, etc.)
Strong understanding of data modeling, ETL/ELT patterns, and data warehouse design
Familiarity with ML workflows and understanding of data requirements for model training and serving
Experience with both batch and stream processing frameworks
Solid understanding of distributed systems and data processing at scale
Excellent code design skills with a focus on maintainability and performance
Strong ownership mentality
Experience with infrastructure-as-code and CI/CD for data pipelines
Strong communication skills and experience working in remote teams
Bonus Points
Hands-on experience with ML pipelines and MLOps tools
Experience working with LLMs, vector databases, or embedding systems
Background in building data infrastructure for AI/ML applications at scale
Understanding of security principles and handling sensitive data
Knowledge of software supply chain and package management systems
Benefits
Compensation & Benefits
We prioritize supporting our team’s growth, wellness, and success. Benefits include:
Competitive salary: 190,000 CAD - 240,000 CAD (depending on experience)
Private Healthcare Plan
Generous equity stock options to share in our success
Ability to work remotely and thrive in an adaptable, inclusive environment
Flexible working hours, providing responsibilities are effectively managed
Our Team Culture
We believe in building products that make a real difference in the security landscape. Our team values technical excellence, open collaboration, and continuous learning.
One of our core commitments to our team and the culture is fostering belonging. We're committed to fostering an inclusive environment where diverse perspectives are valued and everyone's growth is supported. We recognize the value diversity brings not only to us as individuals, but as an organization. And we go out of our way to make each other feel understood, respected, and supported..
Check out our Core Commitments here.
Our Commitment to Inclusion
We believe that diverse teams build better products. We actively strongly encourage applications from individuals who identify as women, people of color, LGBTQIA+, Indigenous, Native American, First Nations, Inuit, Métis, people with disabilities, or as part of other marginalized and historically underrepresented.
If you're passionate about full-stack development, excited about cybersecurity, and want to work in an inclusive environment where your voice is heard and your growth is actively supported, we'd love to hear from you. Join us in our mission to make the digital world safer for everyone!
Ready to Apply?
We're looking for people who are passionate about building secure, scalable solutions. Don't worry if you don't match every requirement – we value diverse backgrounds and perspectives. If you're excited about our mission and think you can contribute, we'd love to hear from you!
We are committed to working with applicants requesting accommodations at any stage of the hiring process. If you require accommodations, please let us know.
Hiring Process Outline
Timeline: The process should roughly take 2 weeks, if scheduling and timing will allow for it.
Short Screening Interview
Core Commitment Interview
Technical Live Coding
Interview with our CEO or CPO
Along the way, we'll talk through your background and interests to determine whether Safety is a good fit for your career goals.
Originally posted on Himalayas
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