LexisNexis Risk Solutions is looking for a Site Reliability Engineer II to help develop, maintain, and improve the cloud infrastructure that powers our Data Science and Machine Learning capabilities. In this role, you will implement automation, troubleshoot issues, and apply best practices under the guidance of senior engineers.
What You'll Do
- Assist in implementing cloud infrastructure as code (primarily Azure) to support data processing and analytics.
- Support the deployment and maintenance of cloud-based tools like data catalogs and governance systems.
- Work with data storage systems—including relational databases, NoSQL, and data lakes—under guidance from senior team members.
- Help develop and maintain automated workflows for deploying applications and infrastructure.
- Assist with connecting systems to remote data sources using APIs and connectors.
- Participate in troubleshooting and incident resolution, documenting solutions and preventive measures.
- Collaborate with engineers and non-technical team members to translate requirements into technical tasks.
- Learn and apply CI/CD, automation, and monitoring best practices.
- Follow security best practices and assist in implementing controls to protect data and infrastructure.
- Contribute to team documentation for technical and non-technical audiences.
What We're Looking For
- Experience in DevOps, SRE, cloud engineering, or related IT roles (internships and projects count).
- Familiarity with at least one major cloud platform (Azure preferred, AWS or GCP acceptable).
- Basic understanding of networking concepts like VNETs, DNS, and routing.
- Experience with scripting languages such as PowerShell, Bash, or Python.
- Exposure to infrastructure-as-code tools like Terraform or ARM templates.
- Understanding of version control systems (Git/GitHub).
- Basic knowledge of monitoring and logging tools.
Nice to Have
- Familiarity with concepts like containerization, serverless functions, or automation workflows.
- Bachelor’s degree in Computer Science, Engineering, IT, or a related field.
- Equivalent experience and/or technical certifications for Azure, AWS, or GCP.
Technical Stack
- Cloud: Azure, AWS, GCP
- Scripting: PowerShell, Bash, Python
- Infrastructure as Code: Terraform, ARM templates
- Version Control: Git/GitHub
Team & Environment
You will be part of the Data Engineering vertical, building infrastructure for Data Science and Machine Learning.
Benefits & Compensation
- Comprehensive, multi-carrier program for medical, dental, and vision benefits
- 401(k) with match and an Employee Share Purchase Plan
- Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
- Compensation includes a base salary plus an annual bonus
Work Mode
This role follows a hybrid work mode.
We are 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.
