Software Engineering Lead HYBRID in Raleigh, NC

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of

RELX

, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.

About the Role

The Lead for our Software Engineering team serves as a subject matter expert for a specific team of Software Engineers working toward our new Lexis + AI initiative. You will be instrumental in driving the design, development, and operationalization of scalable, robust solutions working closely with data scientists and engineers to deliver high-impact features for our customers. This is a hands-on leadership role that also requires technical mentoring, architectural thinking, and team guidance across the full application lifecycle. The position has direct reports.

***Position is required to work in Raleigh, NC with a Hybrid schedule

Requirements:

• 7+ years of professional experience in software development.
• Strong proficiency in Python programming language.
• Strong understanding of software development best practices and methodologies.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Experience with web frameworks (Django, Flask, FastAPI).
• Experience with customer facing API design and tradeoffs.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with system architecture and API design.
• Led a team or mentored Jr engineers
• Hands on experience working with AWS and/or Azure services, such as:
• Compute: EC2, Lambda, Azure Functions
• Storage: S3, Azure Blob
• Databases: RDS, DynamoDB, Cosmos DB, DocumentDB
• Messaging Services: AWS SNS
• Networking, IAM, and monitoring tools
• Experience working with cache databases and in-memory data stores such as Redis or Memcached to optimize read-heavy workloads, inference serving, and low-latency systems.
• Experience designing or working with data storage and retrieval systems, both structured and unstructured
• Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and search technologies (e.g., Solr, Elasticsearch, OpenSearch).
• Familiarity with observability stacks: logging (EFK, ELK), monitoring (Prometheus, Datadog, Grafana), and distributed tracing (OpenTelemetry).
• Experience integrating and managing messaging systems (e.g. AWS SNS, Kafka)
• Solid understanding of access control, IAM, RBAC, and secrets management tools (e.g., AWS Secrets Manager, Azure Key Vault).

Preferred Skills

• Knowledge of LLM, machine learning pipeline and deployment strategies.
• Knowledge of other programming languages (e.g., Go, Java).

Responsibilities

• Work closely with data scientists and engineers to understand product requirements and translate them into scalable software designs.
• Successfully implement and advocate for development processes, coding best practices, and code reviews
• Operate within various development environments (Agile, Scrum, Kanban, Waterfall) while collaborating with key cross-functional stakeholders
• Architect and optimize data storage and retrieval systems using structured and unstructured formats (e.g., S3)
• Build and integrate vector databases (e.g., Pinecone, Weaviate, FAISS) and traditional search technologies (e.g., Solr, Elasticsearch, OpenSearch) to power information retrieval and AI applications.
• Design and deploy messaging systems (e.g., AWS SNS) to support asynchronous and streaming workloads.
• Monitor system and application health in real-time to ensure performance and uptime
• Work with data scientists and engineers to define and track model performance, data drift, and pipeline failures
• Implement and enforce access control mechanisms, including IAM, OAuth2, RBAC, and secrets management systems like Vault or AWS Secrets Manager
• Act as a liaison between software engineering, data science, and DevOps teams
• Standardize workflows and toolchains across research and production environments
• Contribute to backlog grooming, sprint planning, architectural design sessions, and post-mortems.
• Design and implement caching strategies and low-latency data access layers to accelerate model inference, search, and data APIs.
• All other duties as assigned

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: 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
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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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.

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