Principal MLOps Developer
Remote - Ontario
Arctic Wolf
Arctic Wolf delivers dynamic 24x7 cybersecurity protection tailored to the specific needs of your organization. Ready to boost your security posture?Arctic Wolf, with its unicorn valuation, is the leader in security operations in an exciting and fast-growing industry—cybersecurity. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience.
Our mission is simple: End Cyber Risk. We’re looking for a Principal MLOps Developer to be part of making that happen.
About The Role
The Principal MLOps Developer will lead the development of complex and exciting platforms in our Arctic Wolf Labs department by driving the technical roadmap of the AI/ML platforms at Arctic Wolf and enabling the AI/ML teams to contribute to our Security Research and Threat Intelligence products and initiatives, developing cutting-edge systems, services, and frameworks for Arctic Wolf Labs. We are looking for a senior data engineer with an expert knowledge on AI/ML concepts and workflows to join our pack, support us in building a practice that will continuously evolve and expand the capabilities of our data science team, and contribute to our security products and services.
Arctic Wolf Labs is the research-focused division at Arctic Wolf focused on advancing innovation in the field of security operations. The mission of Arctic Wolf Labs is to develop cutting-edge technology and tools that are designed to enhance the company’s core mission to end cyber risk, while also bringing comprehensive security intelligence to Arctic Wolf’s customer base and the security community-at-large. Leveraging the more than two trillion security events the Arctic Wolf Security Operations Cloud ingests, parses, enriches, and analyzes each week, Arctic Wolf Labs is responsible for performing threat research on new and emerging adversaries, developing advanced threat detection models, and driving improvement in the speed, scale, and detection abilities of Arctic Wolf’s solution offerings. The Arctic Wolf Labs team comprises security and threat intelligence researchers, data scientists, security development engineers with deep domain knowledge in artificial intelligence (AI), security R&D, as well as advanced threat offensive and defensive methods and technologies. Security Research Services Development partners with these groups to understand requirements, design & implement scalable, fault-tolerant solutions, and build the next generation of security capabilities for Arctic Wolf.
AS A PRINCIPAL MLOPS Developer AT ARCTIC WOLF, YOU WILL:
Own R&D of distributed, highly scalable, and fault-tolerant microservices
Use test-driven development techniques to develop beautiful, efficient, and secure code
Create and scale high-performance services that bring new capabilities to Arctic Wolf’s data science organizations
Define and drive the roadmap of ML engineering, modeling, and operations at Arctic Wolf
Identify problems proactively and propose novel solutions to solve them
Continuously learn and expand your technical horizons.
WE’RE LOOKING FOR SOMEONE WHO:
Will collaborate closely with our data science and ML teams across different cybersecurity domains to define ML infrastructure requirements and build critical data services
Can leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows
Has extensive experience in ML training (local and distributed), feature extraction, dataset creation
Is comfortable deploying software with CI / CD tools including Jenkins, Harness, Terraform etc.
Is an expert at developing and deploying assets in the cloud - preferably AWS and Kubernetes using IAC (infrastructure as code)
Can build a workflow orchestration platform to be used by other developers
Has hands-on experience implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications and ML pipelines
Has experience designing optimized solutions for ingestion, curation of large datasets
Has expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale
Maintains an expert level in one of the following programming languages or similar- Python, Java, Go
Has extensive experience with data pipelines tools (Flink, Spark or Ray) and orchestration tools such as Airflow, Dagster or Step Functions
Is an expert in designing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)
About Arctic Wolf
At Arctic Wolf we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make our teams even stronger as we grow globally. We’ve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and the 2nd Most Innovative Security Company. This is in addition to consecutive awards from Top Workplace USA (2021, 2022), Best Places to Work - USA (2021, 2022) and Great Place to Work - Canada (2021, 2022).
Our Values
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.
We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.
All wolves receive compelling compensation and benefits packages, including:
Equity for all employees
Bonus or commission pay based on role
Flexible time off, paid volunteer days and paid parental leave
401k/RRSP match
Medical, Dental, and Vision insurance
Health Savings and Flexible Spending Agreement
Voluntary Legal Insurance
Training and career development programs
Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena Avro AWS Dagster Data pipelines Engineering Flink Java Kafka Kinesis Kubernetes Machine Learning Microservices ML infrastructure MLOps Model training Parquet Pipelines Python R R&D Research Security Spark Step Functions Streaming TDD Terraform
Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Team events
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