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Are you excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment? Join a dynamic team developing advanced AI solutions and analytics for impactful, global innovation projects . About the team At LexisNexis Intellectual Property Solutions, we bring clarity to innovation. Our products help the innovation community make better-informed decisions, work more productively, meet regulatory requirements and achieve stronger outcomes. Every day, our work supports the development of technologies and processes that advance industries—and, ultimately, society. We are proud to serve the innovators whose ideas help shape a better future. The AI Platform team builds the capabilities that power AI across LexisNexis IP’s flagship analytics products. We explore emerging AI technologies and turn them into intelligent, practical features for our customers, alongside reusable tools and services for our internal platform. You will join a team working with modern, cloud-native infrastructure and play a meaningful role in building LexisNexis IP’s AI future. About the role Our IP analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations. It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation—all in one place. As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind these products. You will work across the full development lifecycle, from evaluating emerging technologies and designing agentic systems to building scalable, cost-efficient production services. Responsibilities Research and evaluate emerging AI technologies for use in customer-facing features. Design and build agentic AI systems and AI-powered product capabilities. Develop reusable frameworks for evaluating AI quality, safety and performance. Build scalable, high-performance and cost-efficient services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python. Write and review detailed technical specifications for moderately complex system components. Participate actively in development processes, code reviews and Scrum ceremonies. Collaborate closely with stakeholders across the organisation. Requirements Experience working with modern Python codebases. Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices. A solid understanding of software engineering principles, techniques and delivery processes. Experience with generative AI and agentic AI systems. Strong interpersonal, communication and presentation skills, with the ability to engage varied audiences. Experience with Azure Pipelines and Terraform is desirable, but not essential. Work in a Way that Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 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® service We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Are you a technology leader who enjoys solving complex engineering challenges while mentoring and developing high-performing teams? Do you thrive in a role where you can provide technical direction, drive innovation, and influence the delivery of large-scale software solutions? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About the Team RiskNarrative is a global platform within the Financial Crime and Compliance division of LexisNexis Risk Solutions, with teams distributed across the United States, United Kingdom, and Vietnam. This role is part of the US-based squad. RiskNarrative is a B2B risk orchestration platform that enables organizations to assess and manage risks throughout the customer lifecycle. The platform supports consumer onboarding, transaction monitoring, fraud prevention, and financial crime compliance by orchestrating data, decisioning, and workflow processes. The US squad is responsible for driving new product initiatives, enhancing the performance and scalability of the orchestration engine, and overseeing production deployments and ongoing platform maintenance. The squad is a cross-functional team comprising software engineers, quality assurance engineers, a product owner, and a project manager, working collaboratively to deliver secure, scalable, and high-quality solutions. About the Role This position serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. The position has direct reports. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Serve as the initial point of escalation for software development issues within specific areas of responsibility. Interface with other technical personnel or team members to finalize requirements. Complete complex bug fixes. Work closely with other development team members to understand moderately complex product requirements and translate them into software designs. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve complex technical issues as necessary. Mentor and/or train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. Keep abreast of new technology developments. Design and work with complex data models. Carry out management responsibilities in accordance with the organization’s policies, procedures, and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; and addressing complaints and resolving problems. Ensure all staff are provided with training and resources needed to perform their jobs to the most outstanding degree possible. Ensure all staff is provided with frequent feedback and coaching in order to meet and exceed individual and team performance goals consistently. Manage and encourage new ideas from staff to foster improvements through innovations. Empower the staff to be accountable and responsible for their own actions and decisions Requirements BS Engineering/Computer Science or equivalent experience required Software Engineering experience along with development languages including but not limited to: Java/J2EE, JavaScript, JSP Having good knowledge in industry best practices in development. Ability to partner and lead internal and external technology resources in solving complex business needs. Ability to design and work with complex data models. Knowledge of multiple data storage subsystems and in using and developing applicable tool sets. Advanced knowledge of software development methodologies (e.g., Agile, Waterfall). Strong experience with various resource models such as Managed Services and/or Staff Augmentation. Knowledge in industry best practices in external resource development. Ability to partner and lead internal and external technology resources in solving complex business needs. Test-driven development along with strong research skills. Strong proficiency with data manipulation language including optimization techniques. Strong understanding of normalized/dimensional data modeling principles. Ability to write and review portions of detailed specifications for the development of complex system components. Experience in setting, communicating, implementing, and achieving business objectives and goals through the direct management of others. Posses good experience in organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity. Problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making. Good communication (verbal and written) and customer service skills along with interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediums. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Are you passionate about leading engineering teams to deliver high-quality software solutions that solve complex business challenges? Do you enjoy mentoring engineers, driving technical excellence, and collaborating across teams to create scalable, innovative products? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About our Team The engineering team develops and supports a portfolio of web and API-based fraud prevention products that process millions of transactions with low-latency, real-time risk scoring and rules-based decisioning. The team also develops and maintains customer and operational tools for transaction management, fraud feedback, and platform administration while generating behavioral intelligence and risk insights at scale. Supporting both real-time and batch processing workloads, the team continuously works on enhancing fraud detection capabilities through configurable, data-driven rules and scoring models that enable rapid innovation and business agility. About the Role As a Software Engineering Lead, you will serve as a subject matter expert while leading a team of software engineers in the design, development, and delivery of complex applications and systems. You will combine hands-on technical leadership with people management responsibilities, helping to drive engineering excellence, mentor developers, and deliver business-critical solutions in a collaborative environment. Responsibilities Serve as the initial point of escalation for software development issues within specific area of responsibility. Interface with other technical personnel or team members to finalize requirements. Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete complex bug fixes. Work closely with other development team members to understand moderately complex product requirements and translate them into software designs. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, CI/CD etc.) while collaborating with key stakeholders. Resolve complex technical issues as necessary. Mentor and/or train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. Keep abreast of new technology developments. Design and work with complex data models. Carry out management responsibilities in accordance with the organization’s policies, procedures, and applicable laws. Ensure all staff is provided with training and resources needed to perform their jobs to the most outstanding degree possible. Manage and encourage new ideas from staff to foster improvements through innovations. Empower the staff to be accountable and responsible for their own actions and decisions. Requirements 7+ years of Software Engineering experience and 2+ years of software engineering lead experience BS Engineering/Computer Science or equivalent experience required Advanced knowledge of software development methodologies (e.g., Agile, Waterfall, DORA). Strong experience with various resource models such as Managed Services and/or Staff Augmentation. Strong knowledge in industry best practices in external resource development. Ability to partner and lead internal and external technology resources in solving complex business needs. Test-driven development and strong research skills. Strong proficiency with data manipulation language including optimization techniques. Strong understanding of normalized/dimensional data modeling principles. Ability to design and work with complex data models. Strong knowledge of multiple data storage subsystems. Expertise in development languages including but not limited to: C#/.NET, JavaScript, HTML, XML, SQL, Linux. Strong knowledge in industry best practices in development. Knowledge in using and developing applicable tool sets. Ability to write and review portions of detailed specifications for the development of complex system components. Strong skills in setting, communicating, implementing, and achieving business objectives and goals through the direct management of others. Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity. Strong problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making. Strong communication (verbal and written) and customer service skills. Strong interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediums. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Ready to lead the reliability, scalability, and operational excellence of mission-critical platforms while shaping the future of Site Reliability Engineering? Would you like to mentor high-performing engineers, drive cloud modernization, and influence enterprise-wide engineering practices in a highly collaborative environment? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance About our Team The ICS (Insurance Core Services) team is responsible for establishing and driving reliability, observability, automation, and operational excellence standards across Insurance technology platforms. The team partners closely with application, infrastructure, database, and cloud engineering teams to improve platform availability, scalability, performance, and resilience. ICS leads strategic initiatives including SLO/SLI implementation, observability platform adoption, cloud modernization, operational readiness reviews, performance engineering, and reliability automation. The team also develops reusable engineering frameworks, standards, and best practices that enable product teams to build and operate highly reliable cloud-native services at scale. The SRE Lead will play a key role in shaping reliability strategy, mentoring engineers, driving cross-functional initiatives, and partnering with business and technology stakeholders to improve service reliability and operational maturity across the organization. About the Role As a Site Reliability Engineering Lead, you will provide technical leadership and strategic direction for Site Reliability Engineering initiatives across multiple product portfolios. You will lead a team of SREs responsible for ensuring the reliability, scalability, security, performance, and operational excellence of mission-critical applications and platforms. The SRE Lead will partner closely with engineering, architecture, security, operations, and business stakeholders to drive cloud modernization, operational maturity, observability excellence, automation, and continuous improvement. This role combines hands-on technical expertise with people leadership, mentoring, strategic planning, and cross-functional collaboration. Responsibilities Lead and mentor a team of Site Reliability Engineers, fostering a culture of ownership, operational excellence, collaboration, and continuous learning. Define and drive SRE strategy, standards, best practices, and operational frameworks across engineering organizations. Partner with product and platform teams to improve application reliability, scalability, security, performance, and resilience. Establish and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets. Lead major incident management, root cause analysis, problem management, and post-incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability strategies utilizing metrics, logs, traces, alerting, and dashboards. Collaborate with security and compliance teams to ensure platform adherence to enterprise security and regulatory requirements. Lead architecture reviews and provide guidance on cloud-native and highly resilient application designs. Drive capacity planning, performance optimization, cost management, and operational efficiency initiatives. Establish engineering guardrails, governance controls, and deployment standards for production environments. Support organizational transformation toward DevOps and SRE practices. Manage operational risk and ensure business continuity and disaster recovery preparedness. Collaborate with stakeholders to prioritize reliability improvements and platform investments. Build and maintain strong relationships with product owners, engineering leaders, vendors, and business partners . Leadership Responsibilities Lead, coach, mentor, and develop a high-performing team of Site Reliability Engineers. Conduct resource planning and support hiring, onboarding, and career development activities. Establish team objectives aligned with business and technology strategies. Promote accountability, innovation, and operational excellence within the team. Act as a trusted advisor and subject matter expert for reliability engineering across the organization. Drive cross-team collaboration and alignment on strategic initiatives. Essential Skills and Attributes Strong leadership experience managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud-native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. Strong background in observability platforms such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, Datadog, or similar technologies. Experience managing large-scale production environments with stringent availability requirements. Strong understanding of security, compliance, networking, and cloud governance principles. Experience designing highly available, fault-tolerant, and resilient systems. Strong proficiency in at least one scripting or programming language such as Python, Go, PowerShell, Bash, or C#. Experience with CI/CD pipelines and software delivery automation. Exceptional troubleshooting and problem-solving capabilities. Excellent communication and stakeholder management skills. Strong documentation and presentation skills. Ability to influence technical direction across multiple engineering organizations. Desired Skills Experience building and managing enterprise-scale observability platforms. Knowledge of FinOps, cloud cost optimization, and operational efficiency practices. Experience with secret management platforms such as HashiCorp Vault, Akeyless or cloud-native alternatives. Familiarity with Chaos Engineering and resilience testing. Experience supporting regulated environments and compliance frameworks. Experience leading cloud transformation and modernization programs. Agile and Lean delivery experience. Experience supporting global, distributed engineering teams. Qualifications 8+ years of experience in Cloud Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering. 2+ years of leadership or people management experience leading engineering teams. Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Azure, AWS, Kubernetes, Terraform, or related certifications preferred. Proven track record leading reliability and operational excellence initiatives in large-scale enterprise environments. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $118,300 - $219,800. Base Pay Range for IL is $124,200 - $230,800. Base Pay Range for Chicago, IL is $130,200 - $241,800. Base Pay Range for MD is $124,200 - $230,800. Base Pay Range for NY is $130,200 - $241,800. Base Pay Range for New York City is $142,000 - $263,800. Base Pay Range for Rochester, NY is $118,300 - $219,800. Base Pay Range for OH is $112,400 - $208,800. Base Pay Range for NJ is $149,765- $239,235. This job is eligible for an annual incentive bonus. Application deadline is 12/24/2026. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Ready to lead the reliability, scalability, and operational excellence of mission-critical platforms while shaping the future of Site Reliability Engineering? Would you like to mentor high-performing engineers, drive cloud modernization, and influence enterprise-wide engineering practices in a highly collaborative environment? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance About our Team The ICS (Insurance Core Services) team is responsible for establishing and driving reliability, observability, automation, and operational excellence standards across Insurance technology platforms. The team partners closely with application, infrastructure, database, and cloud engineering teams to improve platform availability, scalability, performance, and resilience. ICS leads strategic initiatives including SLO/SLI implementation, observability platform adoption, cloud modernization, operational readiness reviews, performance engineering, and reliability automation. The team also develops reusable engineering frameworks, standards, and best practices that enable product teams to build and operate highly reliable cloud-native services at scale. The SRE Lead will play a key role in shaping reliability strategy, mentoring engineers, driving cross-functional initiatives, and partnering with business and technology stakeholders to improve service reliability and operational maturity across the organization. About the Role As a Site Reliability Engineering Lead, you will provide technical leadership and strategic direction for Site Reliability Engineering initiatives across multiple product portfolios. You will lead a team of SREs responsible for ensuring the reliability, scalability, security, performance, and operational excellence of mission-critical applications and platforms. The SRE Lead will partner closely with engineering, architecture, security, operations, and business stakeholders to drive cloud modernization, operational maturity, observability excellence, automation, and continuous improvement. This role combines hands-on technical expertise with people leadership, mentoring, strategic planning, and cross-functional collaboration. Responsibilities Lead and mentor a team of Site Reliability Engineers, fostering a culture of ownership, operational excellence, collaboration, and continuous learning. Define and drive SRE strategy, standards, best practices, and operational frameworks across engineering organizations. Partner with product and platform teams to improve application reliability, scalability, security, performance, and resilience. Establish and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets. Lead major incident management, root cause analysis, problem management, and post-incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability strategies utilizing metrics, logs, traces, alerting, and dashboards. Collaborate with security and compliance teams to ensure platform adherence to enterprise security and regulatory requirements. Lead architecture reviews and provide guidance on cloud-native and highly resilient application designs. Drive capacity planning, performance optimization, cost management, and operational efficiency initiatives. Establish engineering guardrails, governance controls, and deployment standards for production environments. Support organizational transformation toward DevOps and SRE practices. Manage operational risk and ensure business continuity and disaster recovery preparedness. Collaborate with stakeholders to prioritize reliability improvements and platform investments. Build and maintain strong relationships with product owners, engineering leaders, vendors, and business partners . Leadership Responsibilities Lead, coach, mentor, and develop a high-performing team of Site Reliability Engineers. Conduct resource planning and support hiring, onboarding, and career development activities. Establish team objectives aligned with business and technology strategies. Promote accountability, innovation, and operational excellence within the team. Act as a trusted advisor and subject matter expert for reliability engineering across the organization. Drive cross-team collaboration and alignment on strategic initiatives. Essential Skills and Attributes Strong leadership experience managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud-native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. Strong background in observability platforms such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, Datadog, or similar technologies. Experience managing large-scale production environments with stringent availability requirements. Strong understanding of security, compliance, networking, and cloud governance principles. Experience designing highly available, fault-tolerant, and resilient systems. Strong proficiency in at least one scripting or programming language such as Python, Go, PowerShell, Bash, or C#. Experience with CI/CD pipelines and software delivery automation. Exceptional troubleshooting and problem-solving capabilities. Excellent communication and stakeholder management skills. Strong documentation and presentation skills. Ability to influence technical direction across multiple engineering organizations. Desired Skills Experience building and managing enterprise-scale observability platforms. Knowledge of FinOps, cloud cost optimization, and operational efficiency practices. Experience with secret management platforms such as HashiCorp Vault, Akeyless or cloud-native alternatives. Familiarity with Chaos Engineering and resilience testing. Experience supporting regulated environments and compliance frameworks. Experience leading cloud transformation and modernization programs. Agile and Lean delivery experience. Experience supporting global, distributed engineering teams. Qualifications 8+ years of experience in Cloud Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering. 2+ years of leadership or people management experience leading engineering teams. Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Azure, AWS, Kubernetes, Terraform, or related certifications preferred. Proven track record leading reliability and operational excellence initiatives in large-scale enterprise environments. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $118,300 - $219,800. Base Pay Range for IL is $124,200 - $230,800. Base Pay Range for Chicago, IL is $130,200 - $241,800. Base Pay Range for MD is $124,200 - $230,800. Base Pay Range for NY is $130,200 - $241,800. Base Pay Range for New York City is $142,000 - $263,800. Base Pay Range for Rochester, NY is $118,300 - $219,800. Base Pay Range for OH is $112,400 - $208,800. Base Pay Range for NJ is $149,765- $239,235. This job is eligible for an annual incentive bonus. Application deadline is 12/24/2026. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Are you excited about shaping the next generation of AI-powered legal technology through generative AI, retrieval systems, and production-grade machine learning? Do you enjoy building reliable, scalable applications that transform complex AI capabilities into impactful customer solutions? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html). About the Role We are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering fundamentals and demonstrated ownership of production applications. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. The successful candidate must be able to independently design, refactor, test, review, deploy, and support clean, reliable Python applications. This includes separating agent responsibilities, designing for failure, applying sound algorithmic reasoning, and establishing appropriate logging, monitoring, testing, and operational controls. The ideal candidate has advanced Python proficiency, experience with OpenSearch or Solr, success working in monorepo environments, and a strong record of cross-functional delivery. Key Responsibilities Architect modular agentic applications with clear separation among retrieval, prompt construction, model invocation, tool execution, state and history management, orchestration, validation, and response formatting. Independently refactor complex or legacy Python code to improve correctness, readability, modularity, extensibility, testability, and runtime performance. Own production readiness for AI components, including input validation, exception handling, timeout management, retries with backoff, fallback behavior, configuration management, and secure handling of credentials. Establish observability for LLM and retrieval workflows through structured logging, metrics, distributed tracing, alerting, and actionable error reporting. Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream application components. Write comprehensive unit, integration, regression, and end-to-end tests, including tests for failure modes, malformed model responses, empty retrieval results, and unavailable dependencies. Review Python and agentic application code, identify architectural and operational risks, and provide actionable feedback aligned with production engineering standards. Diagnose and optimize latency, memory usage, retrieval performance, token consumption, model cost, and application scalability. Apply appropriate data structures, algorithms, and computational-complexity analysis when designing and optimizing solutions. Participate in production deployments, incident investigation, root-cause analysis, remediation, and continuous reliability improvements. Required Qualifications Advanced Python proficiency demonstrated through independently designing, implementing, debugging, testing, reviewing, and refactoring production applications. Strong command of Python fundamentals, standard data structures, common algorithms, object-oriented and functional design principles, type annotations, and time and space complexity analysis. Demonstrated ability to transform prototype or experimental code into modular, maintainable, observable, and production-ready systems. Strong understanding of software design principles, including separation of concerns, dependency injection, interface design, configuration management, and effective abstraction. Experience implementing automated unit, integration, regression, and end-to-end testing using tools such as pytest, including appropriate mocking of external services. Experience designing resilient distributed applications that account for timeouts, retries, rate limits, partial failures, malformed responses, idempotency, and graceful degradation. Experience with production observability, including structured logging, metrics, tracing, alerting, and incident troubleshooting. Demonstrated ability to conduct rigorous code reviews and identify correctness, maintainability, performance, security, testing, and operational risks. Experience taking technical ownership of applications across their lifecycle, from design and experimentation through deployment, monitoring, incident response, and ongoing improvement. Strong understanding of production LLM concerns, including structured output validation, context management, model and tool failures, prompt versioning, token and cost controls, security, and evaluation. Preferred Qualifications Experience with Python quality tooling such as pytest, ruff, mypy, profiling tools, and automated CI quality gates. Experience defining typed schemas and validating LLM inputs and outputs using tools such as Pydantic. Experience building evaluation frameworks for agentic systems, including task-completion, retrieval-quality, groundedness, hallucination, latency, reliability, and cost metrics. Experience implementing model fallbacks, tool-use controls, guardrails, human-in-the-loop workflows, and auditability for AI applications. Experience supporting production services and participating in incident response, root-cause analysis, and post-incident remediation. The successful candidate will: Demonstrate senior-level Python proficiency and sound computer-science fundamentals. Treat correctness, maintainability, testing, resilience, security, and observability as core design requirements. Recognize architectural issues and improve code beyond simply making it functional. Independently review and refactor complex agentic application code. Make clear engineering tradeoffs involving quality, latency, scalability, reliability, and cost. Take end-to-end ownership from experimentation through production deployment and operational support. Communicate technical decisions and code-review feedback clearly and constructively. Combine strong LLM and retrieval expertise with disciplined software-engineering practices. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 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. #AIFluent U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html). About the Role: Are you looking to develop your Data Scientist career? Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product. Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). Define agentic workflows and reasoning strategies for multi-step legal tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyze large-scale legal datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, legal experts, and engineers to align solutions with user needs. Mentor team members and provide technical leadership in data science and AI. Requirements: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in Python and data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .

Are you passionate about building resilient, scalable infrastructure that protects critical business data and services? Do you enjoy solving complex storage, backup, and hybrid cloud challenges while driving operational excellence and innovation? About the Business LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About our Team The Data Management Team owns the design, implementation, operation, and continuous improvement of LNRS enterprise-wide storage and data protection capabilities. This encompasses mission-critical infrastructure spanning: On-premises and colocation storage arrays (Dell Unity, PowerStore, PowerScale, PowerVault platforms), Enterprise backup and recovery solutions (Commvault, Avamar, Data Domain) with immutable/WORM storage for ransomware resilience and compliance, Fiber Channel SAN fabric, zoning, cabling, and data center hardware infrastructure, Hybrid cloud storage and backup services (AWS and Azure) supporting migrations and modernization, Automation, scripting (Bash/Python/Terraform), monitoring, reporting, and operational excellence initiatives. This infrastructure directly enables data availability, regulatory compliance, business continuity, and ransomware protection for the entire organization. About the Role The Senior III, Systems Engineer position exists to provide direct input to project plans, schedules, and methodology in the operation and maintenance of multiple system environments, with a strong emphasis on enterprise data storage, backup and recovery solutions, and hybrid cloud infrastructure in support of the data management team. The candidate responds to system management alerts to handle system/operations exceptions within the assigned enterprise systems of product offerings. This position is also responsible for triage change management support and contributes to strategic planning and operational excellence for data protection and storage optimization. Responsibilities Provide strategic input to project plans, schedules, and operational methodologies for the maintenance, optimization, and evolution of enterprise storage, backup/recovery, and hybrid cloud environments supporting the data management team. Monitor system management alerts and respond promptly to handle storage, backup, infrastructure, and data protection exceptions, ensuring high availability, data integrity, and minimal business impact. Diagnose complex system, storage performance, and data protection problems using logs, traces, performance metrics (I/O, latency, throughput), and advanced diagnostic tools. Manage and administer enterprise storage arrays (Dell Unity, PowerStore, PowerScale, and equivalent platforms), including provisioning, volume/LUN management, replication, snapshots, tiering, and proactive capacity planning. Manage and administer enterprise backup and recovery solutions (Dell Avamar, Commvault, and cloud-native services), including policy design, job scheduling, monitoring, success rate reporting, and regular restore testing/validation. Manage and administer brocade fiber channel switches, including experience with data migrations and SANNav software. Switch CLI experience a plus. Design, implement, and manage cloud storage and backup solutions on Microsoft Azure and Amazon Web Services (AWS), optimizing for performance, security, compliance, scalability, and cost efficiency. Develop, maintain, and optimize automation scripts, workflows, and infrastructure-as-code (IaC) solutions using Bash, Python, Terraform, and complementary tools to provision storage, automate backups, orchestrate data protection, and reduce manual effort. Implement and manage immutable storage technologies, WORM (Write Once Read Many) configurations, and object-lock policies to protect critical data against ransomware, accidental deletion, and to meet regulatory retention requirements. Perform fiber channel infrastructure administration including cabling standards and best practices, zoning, LUN masking, multipathing, and SAN fabric troubleshooting to maintain high-performance, resilient storage connectivity. Lead or significantly contribute to the architectural design, solutioning, and long-term roadmap development for storage, data protection, backup, and hybrid cloud infrastructure aligned with business objectives and emerging technologies. Provide strategic vision and actionable recommendations for the data management department, identifying opportunities for technology adoption, process automation, risk reduction, and continuous improvement. Manage capital expenditures (CapEx) and operational expenditures (OpEx) for storage, backup, and related infrastructure projects, including budgeting, forecasting, vendor negotiations, TCO analysis, and ensuring fiscal accountability and ROI. Create, maintain, and govern comprehensive technical documentation including architecture diagrams, configuration standards, SOPs, runbooks, disaster recovery plans, and knowledge base articles to ensure operational consistency and knowledge retention. Mentor, coach, and train team members through structured knowledge transfer, documentation, hands-on labs, and workshops on storage administration, backup best practices, automation techniques, cloud technologies, and advanced troubleshooting to build team capability and bench strength. Install, configure, patch, troubleshoot, and optimize system components, storage software, backup agents, cloud connectors, and related program products across heterogeneous Linux, UNIX, and Windows environments. Develop, review, and optimize scripts, job controls, orchestration workflows, and automation for data movement, backup/recovery jobs, system maintenance, and operational tasks to maximize efficiency and reliability. Collaborate closely with application development, network, security, cloud, and vendor teams to coordinate changes, integrations, migrations, and issue resolution while consistently meeting deadlines, SLAs, and compliance requirements. Ensure rigorous adherence to change management, incident, problem, and request processes, including proper creation, impact assessment, documentation, approval, execution, testing, and closure of all changes and service requests. Demonstrate deep understanding of storage systems (block, file, object), backup technologies, cloud platforms, operating system internals (Linux/UNIX kernels, file systems), Windows infrastructure, virtualization, and performance optimization principles. All other duties as assigned to support the mission and objectives of the data management team and enterprise infrastructure operations. Requirements: Systems Engineering experience, with demonstrated hands-on expertise in enterprise storage array administration, backup and recovery solutions, automation, and hybrid cloud infrastructure. BS in Engineering, Computer Science, Information Technology, or a related field; or equivalent professional experience required. Enterprise storage administration and optimization: Dell Unity, PowerStore, PowerScale (or equivalent enterprise block, file, and scale-out NAS platforms). Backup, recovery, and data protection platforms: Dell Avamar, Commvault, and cloud-native backup/recovery services with proven restore validation experience. Automation, scripting, and infrastructure-as-code: Bash, Python, Terraform, Ansible (or equivalent) for provisioning, orchestration, and operational efficiency. Public cloud storage and hybrid cloud architectures: Microsoft Azure (Blob Storage, Azure Files, Managed Disks, Azure Backup) and Amazon Web Services (S3, EBS, EFS, AWS Backup, Glacier). Immutable storage, WORM policies, object lock, and ransomware-resilient data protection architectures and strategies. Fiber Channel SAN infrastructure: cabling standards, zoning, multipathing, fabric management, and end-to-end connectivity troubleshooting. Systems and storage architecture design, solution development, and strategic technology roadmapping for on-premises and hybrid cloud environments. Financial and vendor management: CapEx/OpEx budgeting, forecasting, TCO analysis, RFP/RFI processes, and contract negotiation for storage and data protection solutions. Technical writing and documentation excellence: architecture diagrams, configuration baselines, SOPs, runbooks, DR plans, and knowledge management systems. Team development and enablement: mentoring, training program development, knowledge transfer, and building organizational capability in storage, backup, automation, and cloud technologies. Multi-platform systems engineering: Linux (RHEL, Ubuntu, etc.), UNIX variants, Windows Server, virtualization (VMware/Hyper-V), containers, and software-defined infrastructure. Advanced monitoring, observability, alerting, logging, and problem management tools; strong root-cause analysis and performance tuning expertise. IT Service Management (ITIL), change/incident/problem management processes, and IT governance/compliance frameworks. Exceptional analytical, problem-solving, communication (written and verbal), collaboration, and stakeholder management skills across technical and business audiences. U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights .