Hybrid Software Engineering Lead

at LexisNexis

• Job title: Software Engineering Lead
• Job type: Full Time
• Experience level: Senior
• Salary: $113,100 - $188,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Django, Docker, DynamoDB, EC2, ElasticSearch, Flask, Grafana, Kafka, Kubernetes, Prometheus, Python, Redis, Vault
• Location requirements: Hybrid, Raleigh, United States

About the role

• Lead Software Engineer for LexisNexis' AI initiatives, responsible for scalable solutions and team guidance. Collaborating across teams and optimizing data systems in a hands-on leadership role.

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.

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 engineer s
• 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).

Benefits

• 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