Sr. Systems Engineer

RELX; Miamisburg (OH); Remote; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a Sr. Systems Engineer to oversee the development of cutting-edge software systems focused on cyber defense and fraud detection. This role involves leveraging machine learning and data analytics to enhance cybersecurity measures and automate processes. The ideal candidate will have a strong background in cloud computing, particularly with Azure, and experience in building scalable applications. Join a dynamic team committed to innovation and excellence in technology, where your contributions will play a crucial role in shaping the future of cybersecurity solutions. If you're passionate about technology and eager to make an impact, this opportunity is for you.

Qualifications

• Master's degree in a related field and 2 years of experience required.
• Experience in cloud application development and big data processing essential.

Responsibilities

• Oversee software systems for cyber defense and fraud detection.
• Lead the development of machine learning software and process automation.

Skills

Machine Learning

Data Analytics

Cloud Computing

Application Development

Data Mining

Data Science

ETL Operations

API Development

Big Data Processing

CI/CD Pipelines

Education

Master’s degree in Computer Science

Master’s degree in Computer Engineering

Master’s degree in Information Systems

Tools

Azure

Amazon Web Services

Google Cloud

Docker

GitHub Actions

Jenkins

Apache Spark

Linux

Job description

• RELX Inc.
• Sr. Systems Engineer
• 9443 Springboro Pike, Miamisburg, OH, 45342

JOB DESCRIPTION:

• Oversee the development of software systems relating to cyber defense, cybercrime (e.g., hacking) and personal data, and provide expertise in the design and development of cyber security systems utilizing Machine Learning and data-analytics software.
• Lead the development of Machine Learning and data-analytics software related to company-product for fraud detection.
• Oversee the development and adoption of BOT software for process automation using Machine Learning, Data Mining and Data Science techniques.
• Participate in department-specific and cross-departmental software design and development projects and produce documentation for code/software systems developed.
• Assist with the Information Assurance and Data Protection (IADP) department’s migration to the Azure Cloud computational tools.
• Perform other duties as needed.

REQUIREMENTS:

• Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field required.
• 2 years of experience in job offered or related occupations required.
• Also required is: 2 years of experience in application development in a cloud environment, with a focus on Azure to develop and deploy web-based applications and Application Programming Interfaces (APIs) using Azure Virtual Machines, Azure blob storage and Azure cosmos.db; developing applications in cloud services including Amazon Web Services and Google Cloud to develop web-based applications; developing microservices and other containerized applications to handle different aspects of big data processing applications including importing data from different data sources, performing data quality checks on the data, performing ETL (Extract, Transform and Load) operations on the data, to load them to a data warehouse, and moving processed data in the data warehouse to several data sources using interfaces provided by these data sources for data integration; containerizing software applications and microservices to run different services necessary for these applications to run inside docker containers; developing CI/CD pipelines using tools including GitHub Actions or Jenkins to build an automated software deployment pipeline for big data processing systems, as well as customer-facing web-based software systems; developing and integrating different independent web-based software applications as well as backend services for big data processing, enabling these services and systems to communicate with each other using API interfaces and integrating them to run automated data processing pipelines for data movement between the systems, data processing and to handle other software requirements; developing big data applications using Apache Spark to develop backend services to perform large scale data processing for ETL operations; and developing data analytics applications using Python and Linux.
• Employee reports to RELX Inc. office in Miamisburg, OH, but may telecommute from any location within the U.S.
• Experience can be concurrent.

HOW TO APPLY:

• Interested candidates should apply via the email address: [e-mail] and reference REQ# R94591

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LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK, or please contact 1-855-833-5120.

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