About the job At Arctic Wolf, were not just navigating the cybersecurity landscape - were redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: weve earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations.  Our mission is simple: End Cyber Risk. We’re looking for a Senior Developer,Automated Detection to be part of making that happen.  About the Role  The Senior Developer - Detection Automation will partner with high-powered security and detection research teams to create automated detection pipelines for our suite of cybersecurity products and services. They will partner with researchers as a data engineer, familiar with SQL, Spark, and either/both of Databricks or Athena/Iceberg/Trino to write and optimize ETL/ELT jobs to ingest raw data from a variety of sources, refine that data, and optimize/tune those datasets into production. They should be comfortable with relational- and non-relational databases like SQL and PostgreSQL, big data systems such as Spark, and cloud-deployments of software and ETL jobs in AWS. Workflow orchestrators such as Airflow will also be used. Knowledge of cybersecurity and detection engineering are a bonus.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&amp;D, as well as advanced threat offensive and defensive methods and technologies. Security Research Services Development partners with these groups to understand requirements, design &amp; implement scalable, fault-tolerant solutions, and build the next generation of security capabilities for Arctic Wolf. <h2>Responsibilities Include:</h2>Execute on R&amp;D of distributed, highly scalable, and fault-tolerant microservicesUse test-driven development techniques to develop beautiful, efficient, and secure codeCreate and scale high-performance services that bring new capabilities to Arctic Wolf’s data science organizationsIdentify problems proactively and propose novel solutions to solve themContinuously learn and expand your technical horizons <h2>WE’RE LOOKING FOR SOMEONE WHO</h2>Will collaborate closely with our data science and detection research teams across different cybersecurity domains to define research detection infrastructure requirements and build critical data services.Has proficiency in big data technologies such as Apache Spark, Databricks, Kafka, SQL, Terraform.Has experience interacting with and author workflows, such as prompts or tools, for LLMs, in AWS BedrockHas extensive experience with data pipelines tools (Flink, Spark or Ray) and orchestration tools such as Airflow, Dagster or Step FunctionsHas 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 scaleMaintains an expert level in one of the following programming languages or similar- Python, Java, Go, ScalaIs an expert in implementing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)Has experience deploying software with CI / CD tools including Jenkins, Harness, Terraform etc.Has hands-on experience implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications and ETL pipelines.At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.  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 <a href="https://arcticwolf.com/company/careers/diversity-equity-inclusion-and-belonging/" target="_blank">here</a>.    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 ·       Flexible annual leave, paid holidays and volunteer days ·       Training and career development programs ·       Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance. ·       Fertility support and paid parental leave  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 <a href="mailto:recruiting@arcticwolf.com.%E2%80%AF" target="_blank">recruiting@arcticwolf.com. </a> On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. Security RequirementsConducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these laws and regulations.