Software Engineering Lead ***HYBRID in Raleigh, NC jobs in United States
cer-icon
Apply on Employer Site
company-logo

LexisNexis · 1 day ago

Software Engineering Lead ***HYBRID in Raleigh, NC

positionRaleigh, NC
timeFull-time
remoteHybrid
senioritySenior Level, Lead/Staff
money$115K/yr - $192K/yr
date7+ years exp

LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. The Lead for the Software Engineering team will drive the design, development, and operationalization of scalable solutions while mentoring team members and collaborating with data scientists and engineers.

AccountingLegalRisk ManagementSoftware
check
H1B Sponsor Likelynote

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

Qualification

PythonAWSAPI designContainerizationWeb frameworksVersion controlSystem architectureData storage systemsProblem-solvingTeam leadershipAttention to detailSoft skills

Required

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

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

Benefits

Annual incentive bonus
Country specific benefits

Company

LexisNexis

twittertwittertwitter
Glassdoor3.8
company-logo
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses.
dateFounded in 1970
location
Albany, New York, USA
people-size10001+ employees
web-link
http://www.lexisnexis.com

H1B Sponsorship

LexisNexis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (9)
2023 (108)
2022 (138)
2021 (87)
2020 (64)

Funding

Current Stage
Late Stage
Total Funding
$30M
Key Investors
EquivoActua Corporation
2021-06-16Corporate Round
2000-03-22Series Unknown· $30M
1994-10-05Acquired

Leadership Team

leader-logo
Eric Bonnet-Maes
CEO - LexisNexis Continental Europe, Middle East and Africa
linkedin
leader-logo
Sean Fitzpatrick
CEO LexisNexis North America, UK & Ireland
linkedin

Recent News

SiliconANGLE
LexisNexis champions AI’s move into the courtroom
2026-01-03
Business Insider
How can lawyers stop AI's hallucinations? More AI, of course.
2025-12-12
LexisNexis on X (formerly Twitter)
LexisNexis® 40 UNDER 40 2025 Winner - Asia & Hong Kong SAR List - Honoured to celebrate Joshua Chu (朱喬華) for his contributions to legal technology and digital justice.
2025-11-30
Company data provided by crunchbase