Location: Waltham, MA
Company: SS&C
organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services. Job Description Application Support Engineer Location : Waltham, MA Hybrid Get To Know The Team : The Application Support Engineer will be part of the Development Team, which is an integral part of the larger, global Professional Services team.
The development team is responsible for delivery, testing, maintenance, and support of Professional Services solutions in conjunction with the Professional Services Operations team and Professional Services Solutions team. The Professional Services team is responsible for the delivery of client specific
solutions leveraging the Intralinks Platform and Product Suites. The solutions delivered may include client specific projects or Use Case solutions created for future sales.
The Professional Services team is comprised team members of varying roles and skillsets located throughout Asia, EMEA, and North America. Why You Will Love It Here! Flexibility : Hybrid Work Model & a Business Casual Dress Code, including jeans Your Future: 401k Matching Program, Professional Development Reimbursement Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave Diversity & Inclusion: Committed
to Welcoming, Celebrating and Thriving on Diversity Training: Hands-On, Team-Customized, including SS&C University Extra Perks: Discounts on fitness clubs, travel and more!
What You Will Get To Do: Technical Support: Provide advanced technical support to customers using our applications, addressing inquiries, troubleshooting issues, and resolving complex technical challenges promptly and effectively. System Monitoring: Monitor the health and performance of our applications and associated infrastructure to identify and resolve potential issues before they impact customers. Incident Management: Manage and prioritize incidents, working closely with cross-functional teams to ensure timely resolution and minimize service disruptions.
Infrastructure Management: Collaborate with our Dev Ops and infrastructure teams to maintain and optimize the infrastructure supporting our applications, ensuring high availability and scalability. Documentation: Create and maintain documentation, knowledge base articles, and support materials to empower customers with self-help resources and assist other team members. Customer Communication: Communicate effectively with customers, providing regular updates on the status of their issues and ensuring a high level of customer satisfaction.
Continuous Improvement: Identify areas for process improvement, automation, and optimization to enhance the efficiency and effectiveness of our application support operations. What You Will Bring: Bachelor's degree in computer science, information technology, or a related field (or equivalent work experience). Proven experience as an Application Support Engineer, preferably with a focus on supporting Saa S applications. Strong technical skills in cloud technologies (e. g. AWS, Azure, Google Cloud), web services, databases, and network troubleshooting. Proficiency in incident management and using ticketing systems (e.
g. JIRA, Service Now). Excellent problem-solving and analytical skills with a keen attention to detail. Strong communication skills, both verbal and written, with the ability to interact effectively with technical and non-technical stakeholders. Familiarity with ITIL or other IT service management frameworks is a plus. Certifications related to cloud platforms or Saa S support are advantageous. Thank you for your interest in SS&C! To further explore this opportunity, please apply through our careers page on the corporate website at /careers. #LI-JG1#LI-Hybrid Unless explicitly requested or approached by SS&C Technologies, Inc.
or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, interactionual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
PDN-9ad3a1e7-bbd8-4a46-9e36-e82c72b94aff
more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems.
We help them get it right. Under the Wolters Kluwer Health umbrella, Clinical Effectiveness (" CE" ) is a leader providing evidence-based solutions that create clinical decision-making and outcome across healthcare. The solutions CE offers include Up To Date, Lexicomp, Medi-Span and Emmi. The Information Retrieval
and Analytics team provides the search capabilities for several applications that are part of CE. You will be a member of a very active and creative team responsible for designing, implementing, monitoring and maintaining next-generation search capabilities including a rich and predictive search experience to broad spectrum of use cases.
You will report to the Director, Technology Product Management Responsibilities Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications,
applying open-source or proprietary large language models (LLMs) and following responsible AI principles Deploy reproducible models that help customers across health segments Develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant Collaborate with product managers, clinicians, data scientists, and software engineers Who can align the technology solution with a business goal Qualifications Graduate degree (MS or Ph D) in Computer Science or relevant field with a focus on NLP or Machine Learning7+ years of industry software development experience5+ years of industry experience in supporting the development of production-ready solutions applying AI technologies: NLP, Deep Learning, Machine Learning Hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spa Cy, anaconda, etc.
Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, or Transformerinteractioncellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain Experience applying deep learning to NLPExperience with designing, building data and model training pipelineinteractionperience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies Domain knowledge with medical text is a big plus Familiarity with web search engine development is a big pluinteractionperience working with agile and Software Development Lifecycle tools (e.
g. JIRA, Confluence, Git)Demonstrate collaborative skills within function and across peer partners Benefits: A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.
Full details of our benefits are available - /index. html Diversity Matters Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America's Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America's Best Employers for Women in 2021, 2020, 2019 and 2018.
In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer. #LI-remote PDN-9be8-a946-a9d631a412c0
in an ever more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems.
We help them get it right. Under the Wolters Kluwer Health umbrella, Clinical Effectiveness (" CE" ) is a leader providing evidence-based solutions that drive clinical decision-making and outcome across healthcare. The solutions CE offers include Up To Date, Lexicomp, Medi-Span and Emmi. The Information
Retrieval and Analytics team provides the search capabilities for several applications that are part of CE. You will be a member of a very active and creative team responsible for designing, implementing, monitoring and maintaining next generation search capabilities including a rich and predictive search experience to broad spectrum of use cases.
Responsibilities Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications, leveraging open-source or proprietary large
language models (LLMs) and following responsible AI principles Deploy robust and reproducible models that impact customers across health segments Innovate and develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant Collaborate effectively with product managers, clinicians, data scientists, and software engineers A self-starter who can align the technology solution with a business goal Qualifications Graduate degree (MS or Ph D) in Computer Science or relevant field with a focus on NLP or Machine Learning 5+ years of industry software development experience 2+ years of industry experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Strong hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spa Cy, anaconda, etc.
Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, Transformers Excellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain Knowledge of visual question and answering is a plus Experience in applying deep learning to NLP Experience with designing, building, and optimizing data and model training pipelines Experience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies Domain knowledge with medical text is big plus Familiarity with web search engine development is a big plus Experience working with agile and Software Development Lifecycle tools (e.
g. JIRA, Confluence, Git) Demonstrate strong collaborative skills within function and across peer stakeholders Compensation: Target salary range CA, CT, CO, HI, NY, WA: $108,700-$152,050PDN-9b064381-8b71-49c1-871f-5f422c54d460
Computer/Software jobs encompass a range of positions focused on designing, developing, testing, and maintaining software systems and applications. These roles demand a blend of technical skills including programming, problem-solving, and an understanding of algorithms and data structures. Key characteristics of such jobs include continuous learning to keep up with emerging technologies, collaboration with teams of engineers, and a penchant for innovative thinking to create effective and user-friendly solutions. These jobs often require a degree in computer science or a related field and can range from software development to systems analysis and network engineering.
will develop in close partnership with product management, software engineers and quality engineers, automated test frameworks and suites that fulfill the testing requirements within a software development lifecycle (SDLC). You will partner with others to adopt techniques to improve product quality early and help quality engineers use knowledge of technology to improve the practice of product verification.
Responsibilities: Experience in developing in at least one modern programming language (C#/PHP/Python/Javascript) Experience in troubleshooting, root cause analysis, debugging Experience in designing and writing comprehensive scalable test cases and procedures for functional, performance
and integration testing Adeptness working within a Scrum/Agile methodology Be a strong quality advocate, collaborating closely with software engineers, designers, product managers Inherent willingness to be a total team player, i.
e. do what it takes for the team to succeed and achieve Perform end-to-end testing initiatives throughout the entire SDLC from test planning, test design, test execution, and test reporting. This includes performance testing, stress testing, unit testing, UI testing, API testing, automation testing, includes functional, regression, UAT, black box, white box, etc. Contribute to test strategy, conduct requirements analysis for testability, identify scope, conduct
risk and mitigation planning, configuration management planning, write master and detailed test plans for test planning and design.
Improve automation testing frameworks and tools for API and web-based applications. Drive standardization and adoption of test automation technologies that will scale with growth. Familiar with Continuous Integration, Continuous Delivery and Continuous Deployment environments and pipelines. Excellent communication skills and the ability to collaborate with other technical teams, analysts and deliver processes and tools to support the organization Appreciation of the customer perspective, i. e. an end user view Upgrade existing practices and processes as needed Skills & Qualifications: 3+ years’ experience in enterprise software development Good analytical abilities and proven design skills Experience in scripting languages (e.
g. Python, Java Script, C#, PHP) Familiarity with reading software code, it’s flows, data structures, end points Familiar with distributed architectures, web service APIs (e. g. HTTP, REST) Experience in a high paced agile/Dev Ops development environment. 1+ years’ experience with CI/CD pipelines 1+ years’ experience with docker or kubernetes Experience with cloud technologies such as Azure or AWS Experience developing in a Windows, Linux, environment and in utilizing virtual machines Experience with browser technologies, i.
e. Edge, Chrome Practical knowledge and experience with relational database (e. g. SQL) development 2+ years’ experience maintaining a UI automation suite , e. g. Selenium, Appium Familiarity in software testing throughout the SDLC, regression, functional, unit, component, contract, integration, black-box, white box, UAT, usability, stress testing, performance testing, etc. Knowledge of software test engineering best practices across the life cycle, including coding standards, code reviews, source code management, build processes, test case management Capable of working in a dynamic and startup environment Experience working with non-technical team members, with project management, planning Preferred: Experience with Atlassian tools, e.
g. Confluence, Jira, Bit Bucket Experience with Tricentis tools, e. g. q Test Experience with Low code/No Code tools, e. g. mabl Experience with Linux, Kubernetes. Experience with performance and scalability testing Experience in regulated industries, e. g. FDA class II medical device, Healthcare IT Education: M.
S. /B. S. in Engineering, Information Systems or Computer Science and 4+ years of applicable experience or equivalent work experience Working Conditions: Travel may be required occasionally Additional Notes The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
All offers of employment are contingent on the results of references, a background check, and a drug test. Powered by Jazz HR
