Senior Software Engineer II

Senior Software Engineer II-Hybrid

Do you enjoy coaching less experienced team members? Are you a self-starter and enjoy collaboration?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below:LexisNexis Risk

About the team:

You will be working with a team of Passionate Software Engineers, Data Scientists, and other stakeholders within the business.

About the role:

As a Senior Software Engineer on our ML Platform team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, and maintaining the tools and systems that enable our data scientists and ML engineers to efficiently build, train, deploy, and monitor models at scale. While you won't be directly developing ML models, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation.

Responsibilities:

• Design, develop, and maintain robust, scalable software systems and tools that form the foundation of our ML platform, including model training pipelines, deployment infrastructure, and monitoring systems.
• Build and improve internal tools to streamline the workflow of data scientists and ML engineers, focusing on automation, efficiency, and ease of use.
• Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions.
• Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem.
• Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications.
• Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team.
• Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML ecosystem, identifying opportunities to improve our platform.
• Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills.

Requirements:

• A highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments.
• Proficient in Python and/or Java, with a strong understanding of software design principles and best practices.
• A strong problem solver with a passion for building high-quality, reliable, and scalable systems.
• An excellent communicator and collaborator, able to work effectively with both technical and non-technical stakeholders.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 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:Request Support Form.

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