Principal Full Stack Software Engineer General Information City/Cities Bridgewater, Cary, Whippany State(s) New Jersey, North Carolina Country United States Working Schedule Full-Time Work Arrangement Hybrid Travel Required 10% Posted Date 19-Mar-2024 Job ID 1765 Description and Requirements Role Value Proposition: MetLife's Digital team is undergoing a huge transformation to better serve our customers. Driven by passion and purpose, we are looking for you to work on the Digital team as a Principal Software Engineer, to help deliver that vision. As a Principal Software Engineer, you will be a full-stack developer on a fast-paced, DevOps team building and running systems that are customer-first, leveraging modern, cloud technologies, cutting edge design and integrations across the entire software stack. You will have an opportunity to impact every part of the system, foster and cultivate your curiosity and iterate over solutions to be the very best you could be to deliver for our customers. Key Responsibilities: <ul> <li> Analyzing, designing and driving solutions for major components and features </li> <li> Ensuring awesome code quality across the entire team </li> <li> Working with Data and Analytics to create amazing Machine Learning solutions </li> <li> Interfacing with key stakeholders; presenting to technologists and the business </li> <li> Working with cross-functional teams for delivery </li> <li> Mentoring Mid/Junior Software Engineers </li> </ul> Essential Business Experience and Technical Skills: Required: <ul> <li> Bachelor's or Master's Degree in Computer Science or related field </li> <li> Fifteen plus years in full-stack software engineering </li> <li> Computer Science fundamentals in data structures, problem solving, algorithms and complexity analysis </li> <li> Proficiency in Software Engineering principles </li> <li> Ability to build, deliver and operate complex, cloud-based systems </li> <li> Proficiency in, at least, one web language such as Javascript, Typescript, Java </li> <li> Proficiency in NoSQL databases (document based) </li> <li> Cross functional leadership: organize, motivate and lead those outside of the team </li> </ul> Preferred: <ul> <li> Broad range of experience across multiple technologies - shows the ability to learn and evolve with emerging trends and ability to adapt to new technologies </li> <li> Experience building reusable patterns, building monitoring/logging capabilities </li> <li> Machine Learning, Gen AI, prompt engineering </li> <li> Devops, continuous integration/deployment, test driven development </li> <li> Experience with Cloud technologies, using infrastructure as a Service, Terraform, Kubernetes, Azure functions </li> <li> Programming languages - Java, Node,C#, React,python, Groovy </li> <li> REST/GraphQL APIs </li> <li> Modern Identity and Access Management </li> <li> Experience defining and prioritizing stories/tasks </li> <li> Experience with incident and problem management </li> </ul> Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="ba1dc12b109249c5b0d1fdd0edc19df31624"></script>

Senior Data Scientist NLP and GenAI Country United States Working Schedule Full-Time Work Arrangement Virtual Commutable Distance Required No Relocation Assistance Available No Posted Date 14-Mar-2024 Job ID 1688 Description and Requirements <ul> <li>Virtual within a commutable distance of Cary NC or New York, NY office location.</li> </ul> The Opportunity The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, small and/or large language models to understand, interpret, and analyze natural language. This person will preprocess and clean textual data, select relevant features, and train models to perform tasks such as sentiment analysis, named entity recognition, topic modeling, information generation, and language model fine-tuning. This is an exciting opportunity to collaborate with cross-functional teams to address specific business challenges and contribute to decision making processes. The Senior Data Scientist NLP and GenAI should stay informed about the latest advancements in NLP research and apply innovative techniques to enhance the performance of language models. Additionally, ensuring the ethical use of NLP technologies, addressing biases, and promoting transparency in model outputs are integral aspects of their responsibilities. Key Responsibilities <ul> <li> Lead advanced analytics, machine learning, and research project teams. </li> <li> Pilot new approaches to optimize existing business processes. </li> <li> Build or manage more complex advanced level statistical and machine learning models. </li> <li> Work independently with executives and project stakeholders to gain business understanding, define analytics opportunities, and present project insights. </li> <li> Work on tasks across the data science lifecycle by leading large and complex interdepartmental project teams. </li> </ul> Required Qualifications <ul> <li> Experience working on natural language processing. </li> <li> Advanced knowledge of machine learning & feature engineering techniques. </li> <li> Expert knowledge of evolving technologies for development, implementation, and deployment. </li> </ul> Additional Skills <ul> <li> Suggested 5 years of experience in a relevant field. </li> <li> BS/MS in computer science, math, statistics, operations research, social sciences, or related quantitative field preferred. </li> <li> Advanced leadership, communication, and interpersonal skills. </li> <li> Advanced knowledge of Generative AI and experience on large language models. </li> <li> Advanced knowledge of firm products and insurance industry. </li> <li> Problem solver: Remove barriers for the team so they can focus on their tasks at hand. </li> <li> Agile learner </li> </ul> The wage range for applicants for this position is $110,00 to $140,00. This role is also eligible for annual short-term incentive compensation. MetLife offers a comprehensive benefits program, including healthcare benefits, life insurance, retirement benefits, parental leave, legal plan services and paid time off. All incentives and benefits are subject to the applicable plan terms. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="d6deb170519f43a394bd797dc9a911f01624"></script>

Lead Full Stack Software Engineer General Information City/Cities Tampa, Whippany State(s) Florida, New Jersey Country United States Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available Yes Posted Date 02-Feb-2024 Job ID 1514 Description and Requirements Role Value Proposition: MetLife Investments is seeking a Lead Full Stack Software Engineer to enhance the technical delivery of MetLife Investment's Cloud Solutions for Data Warehouse and Reporting capabilities. The ideal candidate will possess strong development and engineering capabilities, communication, collaboration, with hands-on experience implementing Investments and Finance data domains by enabling continuous delivery techniques within cloud infrastructure. Solid understanding of best practices and developer enablement required. Provides technical expertise for product teams that are building foundational solutions using Azure Cloud platform. Collaborates with the product line architect to review solution design and roadmap. Enables product delivery through hands-on development and in collaboration with developers, analysts, and business to build fully vetted products that ensures that new capabilities are implemented according to enterprise standards enabling enterprise caliber cloud data platforms. Proven experience implementing strategic system and architecture plans. Join a team of engineers with resources in Whippany, Tampa, and India. Requirements: <ul> <li> 8-12 years of experience </li> <li> Software development preferably in implementing data warehouse, data mart and reporting solutions </li> <li> Database skills, Object Oriented Programming, Design Patterns, and development knowledge. </li> <li> API-driven solution stack, data processing, reactive architecture </li> <li> DevOps pipelines, and/or Infrastructure automation </li> <li> 3-5 years' experience in design and development of the Investments / Asset Management data warehouse and reporting capabilities using Azure Cloud services. </li> <li> 3-5 years working on Microsoft Azure </li> <li> Azure Cloud experience with Cloud native development as well as migration of existing applications. </li> <li> Hands-on development and implementation experience in Azure Data Factory, Data Bricks, Synapse Analytics, Azure App services and Azure Service Bus. </li> <li> Working knowledge of Power BI, Power Apps </li> <li> Continuous Integration and Deployment (GitHub or Azure DevOps preferred) </li> <li> Infrastructure Automation (Terraform preferred) </li> <li> Container Creation and Orchestration (Docker, Kubernetes) </li> <li> E2E test automation </li> <li> Creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms. </li> <li> Proven experience in leading, guiding, and mentoring team members in architecting, designing, and planning out complex technical implementations. </li> <li> Leading the collection and documentation of user requirements as well as the development of user stories and estimates into technology solutions for product features, in collaboration with Product Owner/Manager </li> <li> Creation of detailed technical design and development of applications using Azure Cloud services. </li> <li> Responsible for prioritizing problems, incidents, and service requests and managing process with Product Owner. </li> <li> Champions Agile and DevSecOps adoption by driving product team to move forward on the Agile Maturity Journey </li> <li> Understanding of Microservices architecture and designing and implementing RESTful APIs </li> <li> Sounds understanding of data processing fundamentals, data warehouse concepts and best practices. </li> <li> Full stack engineer with ability to write object-oriented, self-documenting, maintainable code. </li> </ul> Experience around information security, risk, PII, SOX and legal compliance requirements. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="6c7a7d8471384aae8f237ea18a5ce9131624"></script>

AI Cloud Data Engineer General Information City/Cities Cary State(s) North Carolina Country United States Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available No Posted Date 08-Mar-2024 Job ID 1651 Description and Requirements Role Value Proposition: MetLife Data & Analytics organization is the team of expert technologists responsible for building big data platforms and data services with innovative technologies to enable MetLife businesses to generate insights, and value to its customers. The team is the center of excellence in data engineering in MetLife and plays a key role in data enablement through multiple data stores, supporting different kind of analytical use cases to be able to derive predictive, prescriptive, and descriptive insights. The Azure Data Engineer II serves as big data development expert within the data analytics engineering organization of MetLife Data & Analytics. This position has the responsibility of building ELT, data warehousing and reusable components using cutting edge big data and cloud technologies. The resource will collaborate with the business systems analyst, technical leads, project managers and business/operations teams in building data enablement solutions across different LOBs and use cases. Key Responsibilities: <ul> <li> Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ELT) processes </li> <li> Develop reusable frameworks to reduce the development effort involved thereby ensuring cost savings for the projects. </li> <li> Develop quality code with thought through performance optimizations in place right at the development stage. </li> <li> Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies. </li> <li> Work with team spread across the globe in driving the delivery of projects and recommend development and performance improvements. </li> </ul> Essential Business Experience and Technical Skills: <ul> <li> Ingesting huge volumes data from various platforms for Analytics needs and writing high-performance, reliable, and maintainable ELT code. </li> <li> Strong analytic skills related to working with unstructured datasets. </li> <li> Strong experience in building/designing Data warehouses, data stores for analytics consumption On prem and Cloud (real time as well as batch use cases) </li> <li> Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ELT solutions. </li> </ul> Required : <ul> <li> 8+ years of solutions development and delivery experience with 6+ years of recent experience in data engineering. </li> <li> Proficiency and extensive Experience with Spark & Scala/Python and performance tuning </li> <li> Hands on expertise in: Azure SQL Synapse, Cosmos DB, Data Factory, Python, Spark Scala experience is a MUST. </li> <li> Building and Implementing data ingestion and curation process developed using Cloud data tools such as Azure SQL Synapse, Cosmos DB, Data Factory, Spark (Scala/python), Data bricks, Delta lake etc. </li> <li> Performance tuning on Azure SQL Synapse dedicated SQL Pool and server SQL Pools, Cosmos SQL APIs loading and consumption optimizations. </li> <li> Good scripting experience primarily on shell/bash/ PowerShell would be desirable. </li> <li> Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance. </li> <li> Expertise using Generative AI models for creating SQL/Python code, debugging it and optimizing it. </li> <li> Experience writing and using Large Language Models (LLMs) to create co-pilot kind of experience for creating datasets. </li> <li> Building and deploying LLMs for data pipeline performance monitoring, data quality and deriving lineage out of SQL implementation. </li> <li> Usage of NLP for querying datasets, LLM for calling Data APIs and experience building AI chatbots. </li> </ul> Preferred : <ul> <li> Expertise in Python and experience writing Azure functions using Python/Node.js. </li> <li> Experience using Event Hub for data integrations. </li> <li> Eagerness to learn new technologies on the fly and ship to production. </li> <li> Hive database management and Performance tuning - Partitioning / Bucketing. </li> <li> Code versioning experience using Bitbucket/Azure DevOps. Working knowledge of Azure DevOps pipelines would be a big plus. </li> <li> Prior experience leveraging AI and ML capabilities to automate and optimize complex workflows with intelligent use of low or no-code. </li> <li> Very good problem solver and excellent communication skills - both written and verbal </li> </ul> Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="21aeafc91d4147b6af3dbc3795cdd7a81624"></script>

Metlife Jobs

Principal Full Stack Software Engineer
April 28, 2024

Senior Data Scientist Nlp And Genai
April 20, 2024

Lead Full Stack Software Engineer
April 19, 2024

Ai Cloud Data Engineer
April 19, 2024

Lead Full Stack Engineer Ai Data Engineer
April 13, 2024

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Metlife Jobs

Principal Full Stack Software EngineerApril 28, 2024

Senior Data Scientist Nlp And GenaiApril 20, 2024

Lead Full Stack Software EngineerApril 19, 2024

Ai Cloud Data EngineerApril 19, 2024

Lead Full Stack Engineer Ai Data EngineerApril 13, 2024