Location: Princeton, NJ
is responsible for developing complex custom software solutions to support Guy Carpenter business requirements. In this role you will: Implement business logic from business requirements and design specification. Development of key systems using new open-source technology stack Focus on quality code, automation, and good practices.
Contribute to and be part of the Development Center of Excellence in driving up the quality and value of software development and delivery across the enterprise. Develop and test software solutions and review code quality. Automate build, test (unit, functional and performance) and deployment of the code part of the CI/CD pipeline by working closely with Platform
Engineer RESPONSIBILITIES: Lead Applications Developer owns the design of the application and is responsible for the implementation with the development team and ensure the design is properly incorporated into the deliverables.
Act as technical design authority collaborating with the solution architect to implement the solution. Provide application design feedback to the project team on an ongoing basis. Review detailed design, code deliverables, and ensure quality. Assist the Enterprise architects in defining, implementing and overseeing technical standards, policies and tools. Provide technical oversight to development teams. Work with technical staff to understand problems with software
and develop specifications to resolve them. Responsible for effective application development including integration with other Guy Carpenter systems.
Responsible for operational effectiveness of the environment; adhere to Guy Carpenter Process Framework. Proactively contribute to our system architecture and stack design, toolset, agile and Dev Ops approach. Collaborate closely with Agile Dev team members, Product Owners, and business users to deliver business value. Automate build, test (unit, functional, security vulnerability and performance) and deployment of the code part of the CI/CD pipeline by working closely with System Engineer Mentor developers on both technical topics and with Agile/Dev Ops adoption Estimate Development efforts for new initiatives; help define and build Development teams by working with stakeholders.
QUALIFICATIONS: A degree in Computer Science or related field or have relevant experience.5+ years of development experience in applications/product development using MEAN/MERN Stack Must have experience or working knowledge of: Java Script, Type Script, JSON, XML, HTML, SASS/LESS/CSSWeb platforms such as NODE, Angular, React, MEAN/MERN Stack Microservices, Micro frontend Architecture, API Management (Apigee)REST API first design and Open API Specification, specifically using Swagger.
Agile TDD (Junit, Mockito, Jasmine, Karma) BDD (Cucumber) Pair Programming, Scrum/Kanban Dev Ops Git Hub, Git Actions, Azure Dev Ops, CI/CD pipelines, Selenium, Artifactory, Docker/Kubernetes, Datadog/Splunk, JMeter, Whitehat Databases: Mongo DB, Postgre SQL, SQL Server Cloud Azure, Private Cloud OS Linux, VM Architectures ADDITIONAL QUALIFICATIONS: Have developed backend services using Nest JSABOUT:
Computer/Software Jobs encompass various roles focused on the creation, maintenance, and innovation of computer systems and software applications. These jobs include software developers, programmers, system analysts, database administrators, network engineers, and many other specialists. Key characteristics include a strong foundation in computer science, proficiency in different programming languages, problem-solving skills, and often a continuous learning mindset due to the rapid advancements in technology. These roles typically involve collaboration, attention to detail, and a passion for technology, allowing professionals to design solutions that enhance efficiency and user experience.
AI models to many academic disciplines; and (c) Studying impact of large AI models on society and the world. The Initiative will produce open-source software and models. The term of this appointment is 3 years, with the possibility of renewal based upon satisfactory performance and funding.
The position is located in Princeton, NJ with the possibility for some flexible work arrangements. This is not a remote position. Responsibilities Job responsibilities will include a subset of the following, depending upon the individual’s background: Collaborate with our diverse team to help develop and improve large AI models, helping conduct experiments, analyze results, and co-author research publications.
Develop, maintain, and improve our shared infrastructure for training / fine-tuning and prompting large AI models. Maintain software libraries/environment/Github repositories and support model use.
Provide support for use of these libraries in the core AI models group as well as for interdisciplinary work. This includes documentation of projects in a descriptive and appropriately detailed manner that can be understood by both researchers and future Research Engineers. Serve as liaisons with Princeton High Performance Research Computing (HPRC) staff on GPU cluster related issues. We prioritize professional development for RSEs and offer the following opportunities: Learning the underlying
science, mathematics, statistics, data analysis, and algorithms of computational research questions.
This may involve independent research, studying existing code bases, and keeping up-to-date with publications. Building awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions. Access to a community of about two dozen research software engineers as well as continued professional development opportunities at Princeton Research Computing. Qualifications A Bachelor/Masters degree in computer science, engineering, sciences, or related computational field is required.
Solid coding skills and good experience with large AI models. Familiarity with GPU computing environments and ML frameworks and libraries (e. g, Deep Speed, Hugging Face). Prior research experience in AI/ML and/or contributions to open-source libraries. Strong written and oral technical communication skills. Additional Information Competitive compensation package with attractive work conditions. Access to state-of-the-art research facilities and GPU cluster. Opportunities for professional growth and career advancement. Collaborative and inclusive work environment that fosters creativity and innovation.
If you are passionate about advancing AI research, working alongside leading researchers, and contributing to impactful open-source projects, we encourage you to apply for this position. Applications will be accepted until all positions are filled. Elevating the individual within a culture of collaboration, Princeton University is a powerful foundation upon which to build one’s career and family. Princeton’s competitive array of benefits reflects a holistic approach to supporting individuals and their families at work and beyond. The University is also an engaging, transformative resource in and of itself.
From opportunities for collaboration to world-class research and cultural facilities, you will find all manner of spaces that bring people together and inspire new ideas. Princeton, NJ is one of the country’s most historic communities. Situated midway between Philadelphia and New York City, Princeton is a charming and walking-friendly small town with easy access to neighboring cities. In 2022 Niche Magazine rated the Princeton Public Schools as one of the top public school districts in NJ and included Princeton on its list of the best places to live in America.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, interaction, interactionual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS Standard Weekly Hours36.25Eligible for Overtime No Benefits Eligible Yes Probationary Period180 days Essential Services Personnel (see policy for detail)No Physical Capacity Exam Required No Valid Driver’s License Required No Experience Level Mid-Senior Level#Ll-DPFor more details: jobs-search.
org/information-technology_princeton-c439416/research-software-engineer-ii-language-and-intelligence-princeton_i1969311265
environments. Extensive working on Power Center 9.6.1 and 10.2 Source Qualifier Transformation to join the homogeneous sources. Work on specialized Informatica Power Exchange 9.6 for Loading/Retrieving data from mainframe systems. Work with various large Databases for extracting the files and loading them into different databases.
Use Teradata database, analyzing complex business needs of clients, developing effective and efficient solutions and ensuring client deliverables with in committed timelines. Work on designing the ETLs on Power Center and conducting review meets. Use GITEye to baseline code/files for deploying in higher environments. Work on Incremental Loading using Parameter
Files, Mapping Variables, and Mapping Parameters. Unix Shell Scripts for executing the Informatica workflows. Use various mappings to load data from various sources using different Transformations including Router, Aggregator, Joiner, Lookup, Update Strategy, Stored Procedure, Sorter, Filter, Source Qualifier, Expression, Union and Sequence Generator to store the data in target tables.
Involve in specific Unit Testing, Integration Testing and End-End Testing. Provide technical support to SIT, UAT and PROD users and testers. Analyze the root cause and fixing production issues and Support the Client Production Environments a first priority. Qualification: This position requires a minimum
of a bachelor? s degree in Computer Science, Computer Information Systems, Information Technology or a combination of education and experience equating to the U.
S. equivalent of a Bachelor? s degree in one of the aforementioned courses
Computer/Software jobs are roles focused on the development, creation, and maintenance of computer systems and applications. These positions often require strong problem-solving skills, proficiency in programming languages, and an understanding of algorithms. They range from software developers, who design and build software, to quality assurance analysts, who test and refine programs for optimal performance. Such roles are evolving with technology trends, emphasizing continual learning and adaptation. The field is characterized by a blend of creative and analytical thinking, where professionals work to innovate and optimize the digital tools that have become integral to modern life.
