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Edinburgh, United Kingdom

Software Engineer - Advanced Analytics/Machine Learning - Secureworks - Edinburgh, UK

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Secureworks® (NASDAQ: SCWX) is a global cybersecurity leader that protects customer progress with Secureworks® Taegis™, a cloud-native security analytics platform built on 20+ years of real-world threat intelligence and research, improving customers’ ability to detect advanced threats, streamline and collaborate on investigations, and automate the right actions.

We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team.  

Role Overview

We are looking for a detail-oriented, talented, and enthusiastic data engineer to work in a fast-paced, startup-like environment with a seasoned cross-functional team of Security Experts, Data Scientists, and Machine Learning Engineers to advance the state-of-the-art in network defense.  If you love the challenges that come with big data and analytics then this role is for you. Duties include large-scale data routing, modeling, extraction, transformation, loading, warehousing, and composing such systems together with support for monitoring and mediation logic. You will use the latest big data platforms and technologies (e.g. NiFi, Spark, Kafka, Flink, NoSQL, Docker, Kubernetes, AWS) to deliver advanced analytics and all the supporting security event processing to our customers via Secureworks’ flagship security platform. 

The ideal candidate will have a software development background with an emphasis on distributed systems and some familiarity with data science or machine learning.  This role requires a data engineer that can take architectures from concept to reality and work well within a collaborative environment.  If you’re an engineer with experience solving big data problems, you might have what it takes to become an elite member of our team and help us innovate faster than the threat actors.

You'll get the chance to:

  • Design, develop and maintain new functionality for our security event processing products that run at scale
  • Create new analytics to detect threat actor activity based on a wide variety of telemetry
  • Improve existing products to increase the security detection effectiveness and performance for our customers
  • Deliver solutions that help our customers resolve security-related issues faster
  • Work directly with architects, data scientists and security experts as you craft solutions
  • Work with a small, empowered team and make a difference
  • Contribute to our move to more modern design patterns (containerization, elasticity) and operational models (DevOps, CI/CD)
  • Conduct code reviews
  • Explore emerging technologies and quickly adapt, building innovative solutions
  • Deploy software, troubleshoot, and resolve issues in our dev, test and production environments

Minimum Requirements

  • Minimum of 2 years of experience of software engineering in Java, Scala or GoLang.
  • Minimum of 2 years of experience in data engineering, data modeling, ETL development, or data warehousing.
  • Minimum of 2 years of experience with scripting languages like Python, Bash, etc.
  • Exposure to machine learning/advanced analytics
  • Successful track record in a collaborative development environment
  • Experience with CI/CD processes and solid understanding of GNU/Linux

Preferred Experience

  • Experience with Amazon AWS, Google GCP, or similar cloud provider.
  • Experience working with containers and container orchestration solutions such as Docker, Kubernetes, Rancher, etc.
  • Experience with stream-processing systems, such as NiFi/StreamSets, Kafka, Spark, or Flink.
  • Experience with big data platforms (e.g. Hadoop, Spark, Kafka, HBase, etc)
  • Experience with distributed NoSQL databases, such as HBase, Cassandra, or Accumulo.
  • Development of analytics using ML or other Data Science techniques
  • Unit testing tools and frameworks such as JUnit
  • Design and development of Web services

Location: Edinburgh with flexibility to work from home

Secureworks (A Dell Technologies Company) is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Secureworks are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Secureworks will not tolerate discrimination or harassment based on any of these characteristics.  Learn more about Diversity and Inclusion at Secureworks here.

Job ID: R146873

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Why Work Here

Global Benefits

  • Comprehensive Healthcare Programs

  • Award Winning Financial Wellness Tools and Resources

  • Generous Leave of Absence for New Parents and Caregivers

  • Industry Leading Wellness Platform

  • Employee Assistance Program

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