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LexisNexis Risk Solutions · 1 day ago

Consulting/Principal Software Engineer *** Hybrid in Raleigh, NC

Raleigh, NC

Full-time

Hybrid

Lead/Staff

$115K/yr - $192K/yr

LexisNexis Risk Solutions is a global provider of information-based analytics and decision tools for professional and business customers. They are seeking an experienced Principal Engineer to design, develop, and maintain high-quality software applications primarily using Python, while also leading a cross-functional team of data scientists and software engineers.

AnalyticsHealth CareInformation TechnologyInsurTechRisk ManagementSoftware

Culture & Values

H1B Sponsor Likely

Responsibilities

Guide the technical vision and strategy, making high-level architectural decisions

Provide technical expertise and contribute to corporate strategy and technology recommendations

Collaborate with cross-functional teams to translate business requirements into scalable software solutions

Design and implement complex, fault-tolerant software systems, adhering to best practices in software architecture, coding standards, and design patterns

Develop and maintain Python-based applications, libraries, and microservices using modern frameworks and tools

Participate in code reviews to ensure quality, maintainability, and consistency

Mentor and guide junior developers and data scientists, fostering a culture of continuous learning

Implement automated testing strategies to ensure code reliability and performance

Stay current with emerging trends, technologies, and best practices in the Python ecosystem

Represent the engineering team in technical discussions and decision-making processes

Resolve complex technical issues and serve as an escalation point for development problems

Design and manage complex data models and data workflows

Carry out management responsibilities, including interviewing, hiring, training, performance evaluation, and conflict resolution

Promote accountability, innovation, and ownership among team members

Architect and optimize data storage and retrieval systems (structured and unstructured, e.g., S3)

Build and integrate vector databases (e.g., Pinecone, Weaviate, FAISS) and search technologies (e.g., Solr, Elasticsearch, OpenSearch)

Design and deploy messaging systems (e.g., AWS SNS) for asynchronous and streaming workloads

Monitor system and application health in real time to ensure uptime and performance

Implement and manage access control mechanisms (IAM, OAuth2, RBAC, Vault, or AWS Secrets Manager)

Act as a liaison between software engineering, data science, and DevOps teams

Standardize workflows and tools across research , dev, and production environments

Contribute to sprint planning, architectural design sessions, backlog grooming, and post-mortems

Design and implement caching strategies and low-latency data access layers to accelerate model inference and data APIs

Perform other duties as assigned

Qualification

PythonDjangoDockerKubernetesCI/CD pipelinesCloud platformsAPIsData modelingAgile methodologiesLeadershipCommunicationProblem-solving

Required

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)

Several years of professional software development experience, with a strong emphasis on Python

Extensive experience with frameworks such as Django, Flask, or FastAPI

Familiarity with retrieval-augmented generation (RAG) pipelines and scalable AI systems

Proficiency in relational and non-relational databases, including ORM frameworks like SQLAlchemy

Expertise in Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP)

Experience designing APIs and data-driven systems

Strong understanding of CI/CD pipelines and version control (Git)

Experience leading projects and mentoring teams

Excellent problem-solving, communication, and leadership skills

Experience working with cache and in-memory databases (e.g., Redis, Memcached)

Familiarity with observability stacks (EFK/ELK, Prometheus, Datadog, Grafana) and distributed tracing (OpenTelemetry)

Experience with messaging systems (AWS SNS, Kafka)

Solid understanding of IAM, RBAC, and secrets management

Proficiency in integrating LangChain or similar frameworks for modular AI workflows

Preferred

Working knowledge of Google ADK

Experience with Agile, Scrum, or Kanban methodologies

Understanding of LLMs, ML pipelines, and model deployment

Knowledge of additional programming languages (e.g., Go, Java)

Benefits

Annual incentive bonus

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Company

LexisNexis Risk Solutions

Glassdoor4.0

LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint.

Founded in 2000

Alpharetta, Georgia, USA

10001+ employees

https://risk.lexisnexis.com

H1B Sponsorship

LexisNexis Risk Solutions 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

2025 (129)

2024 (132)

2023 (86)

2022 (98)

2021 (125)

2020 (53)