MeridianLink

Administration

• Develop a strong understanding of the company’s software to educate clients and provide best practice recommendations.
• Partner with clients to develop and implement initiatives that support their goals and objectives.
• Collect business requirements and implement changes within the company’s Consumer, Opening, and Portal systems.
• Organize tasks to maximize productivity, efficiently use resources, and meet project timelines.
• Create deliverables for clients, review results, and provide recommendations using a consultative approach.
• Identify potential issues early, resolve them proactively, and communicate product improvements.
• Support effective communication with stakeholders throughout the project cycle.
• Provide proactive, responsive client service, ensuring questions and requests are addressed promptly.
• Contribute to knowledge sharing and service innovation initiatives within the team.

System Administration Consultant

Full-stack Engineer

• Work on AI-powered services that are used across product lines, developing both backend APIs and frontend interfaces.
• Mentor lower-level peers and serve as an informal technical lead, particularly in AI/ML integration best practices.
• Create and execute processes and procedures for the technical quality, security, performance, and consistency of AI-powered products.
• Create "big picture" architectural approaches and implementation plans for AI-integrated software.
• Ensure security, performance, and quality of software architectures and provide technical guidance to development teams.
• Drive end-to-end system design decisions for scalable enterprise-grade AI platforms and collaborate with Product to evolve requirements into well-architected solutions.
• Conduct research, gather information, interpret data, identify requirements, and create innovative solutions for AI-driven products.
• Stay current on emerging AI/ML technologies, modern development tooling, and implement security best practices throughout the AI development lifecycle.

Senior Full-Stack Software Engineer – AI

Data Engineer

• The Senior Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.
• Expected to lead the writing of complex SQL queries to support analytics needs.
• Responsible for developing technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
• Senior Data Engineers will evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines.
• The role will work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Databricks, Spark, Delta, APIs. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.

Senior Data Engineer

Learning and Development

• Lead the development, delivery, and continuous enhancement of essential skills within our sales organization.
• Design and develop training programs that align with sales competencies and goals.
• Create curriculum and lead training sessions focused on methodology, sales skills, and industry knowledge.
• Develop and maintain a scalable, multi-modal sales curriculum (e.g., eLearning, live workshops, video content).
• Create and manage certification programs to validate knowledge and skill proficiency across roles.
• Deliver training on core selling skills: prospecting, negotiation, value-based selling, etc.
• Partner with Sales Leadership to identify skill gaps and tailor training accordingly.
• Collaborate with Product Marketing and Product Management to ensure sales teams are up to date on product capabilities.
• Track training effectiveness through assessments, certifications, and performance metrics.

Sales Training Manager

Product Manager

• Maximize the output of the development team within a scrum framework to ensure the product's success.
• Drive product roadmap prioritization, order items to achieve goals, and optimize the value of the team's work.
• Participate in stand-up meetings, lead sprint planning, and facilitate product demos.
• Advocate for the product internally and lead the product team to make informed business decisions.

Product Manager – Mortgage Product

• Maximize the output of the development team within a scrum framework to ensure the product's success.
• Drive product roadmap prioritization, clearly express product backlog items, order items to best achieve goals, and optimize the value of the team's work.
• Participate in stand-up meetings, lead sprint planning, and facilitate product demos.
• Analyze user data and market data to identify product opportunities.
• Understand user and customer needs, working across departments to bring the product to life and communicate the voice of the customer.

Product Manager, Access Product

• The Principal Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.
• Expected to lead the writing of complex SQL queries to support analytics needs.
• Responsible for developing technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
• Principal Data Engineers will evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines.
• The role will work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Databricks, Spark, Delta, APIs. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.

Principal Data Engineer

• Lead team of independent contributors (ICs) to execute integrations for specific partners
• Participate in Partner Marketplace discussions to understand pending integrations
• Partner with product line peers to prioritize integrations
• Play key role in developing and executing strategy to improve partner integration approach and capabilities
• Communicate solutions to user problems with ICs and necessary teams
• Responsible for directing and guiding the work of teams and/or individuals
• Propose solutions and strategies to business challenges that drive business impact

• Lead Software Engineers will work on frameworks or algorithms that are used across product lines
• Expected to mentor lower-level peers and is seen as an informal lead
• The role will create and execute processes and procedures for the technical quality of products
• Lead Software Engineers will create "big picture" architectural approaches for software design and implementation to guide the development team
• Responsible for ensuring security, performance, manageability, quality, and consistency of the software architecture across the system and providing technical guidance to development teams
• Expected to conduct research, gather information, interpret data, identify requirements, and create a solution

Lead Software Engineer

Customer Support

• Coordinate with other internal departments to resolve issues and follow through with the client until the completion
• Expected to take inquiries from systems and use basic level direction and discretion/decision-making authority as needed to resolve customer issues
• Responsible for assisting in the development of support delivery strategy and related processes, escalation procedures, and training while mentoring the Client Support Specialist I
• Provide information about products and/or services, answer questions, and resolve problems and issues
• Complete tasks or activities supporting the implementation of procedures
• Responsible for ensuring inquiries are followed up on and provided resolution
• May fill in for the supervisor for staff or customer meetings

Client Support Specialist II

Support Engineer

Your strong communication skills help you collaborate well with our business partners and clients to onboard new services, support existing services, and provide technical support related to integrations for clients on our software platform.
Manage projects to onboard new services with business partners, including clients, vendor partners, and third-party developers.
Work with business partners as the primary contact to onboard their products & services via our integration APIs.
Work with our Strategic Partnership Manager to ensure that integration agreements are executed.
Host kick-off calls and web meetings with business partners as needed during the onboarding process.
Provide technical support (phone, email, and chat) to business partners during the onboarding process, and subsequently on a continuing basis as needed. This involves reading, stepping through the source code, and analyzing system communication in XML formats.
Develop and maintain framework integration guides, schemas, and other supporting documentation.
Work with system Product Design Engineers to become familiar with integrations and system behaviors.
Provide technical support regarding integrations to clients, internal staff, and sometimes, vendor partners.
Contribute to our Knowledgebase so our clients can self-serve when possible.
Create and maintain how-to guides for clients.
Create and maintain integration documentation for business partners, clients, and internal staff.
Work with other teams to investigate, design, implement, and/or execute to increase scalability of support in integrations.
Review and provide feedback to feature requirements and system designs.
Verify system changes affecting integrations.
Design then drive or implement test automation to prevent issues.
Find opportunities to document frequently occurring integration issues.

Senior Integration Support Engineer

The Principal Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.

Expected Duties:

Principal Data Engineers will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources

Expected to lead the writing of complex SQL queries to support analytics needs

Responsible for developing technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis

Principal Data Engineers will evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines

The role will work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Databricks, Spark, Delta, APIs. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses

Designer

• Work with the Employee Training and Development Partner and other business resources to conduct needs analysis to identify learning objectives and appropriate training design\n• Develop storyboards, scripts, and prototypes for computer-based learning content\n• Design instructional materials, including instructor-led training, job aids, and assessments\n• Apply adult learning principles and instructional design models to create effective learning experiences\n• Collaborate with subject matter experts (SMEs) from across the business to gather content, ensure accuracy and that the learning meets outlined objectives\n• Perform quality assurance on learning materials for clarity, engagement, and accessibility\n• Evaluate training effectiveness through assessments, feedback, and analytics; recommend improvements\n• Stay updated on industry trends, emerging technologies, and best practices in instructional design\n• Manage courses in Learning Management System (LMS)\n• Instructional Design & Development\n• Conduct needs assessments in partnership with the Employee Training and Development Partner and business stakeholders to identify learning objectives and appropriate instructional strategies\n• Design and develop engaging learning content including eLearning modules, instructor-led training, job aids, and assessments using instructional design best practices and adult learning principles\n• Create storyboards, scripts, and prototypes for digital learning experiences\n• Collaborate with subject matter experts (SMEs) to gather content and ensure instructional accuracy and relevance\n• Apply accessibility standards and inclusive design principles to all learning materials\n• Perform quality assurance reviews to ensure clarity, consistency, and learner engagement\n• Evaluate training effectiveness through assessments, learner feedback, and performance metrics\n• Recommend and implement improvements to enhance learning outcomes and user experience\n• LMS Administration\n• Manage and maintain courses, learning paths, and user data within the Learning Management System (LMS)\n• Monitor course performance and learner progress using LMS analytics and reporting tools\n• Troubleshoot LMS issues and provide technical support to users as needed\n• Ensure compliance with eLearning standards such as SCORM and xAPI\n• Support LMS upgrades, integrations, and configuration changes in collaboration with IT and vendor partners\n• Stay current with trends in instructional design, learning technologies, and LMS capabilities

Instructional Designer

Backend Engineer

• Develop single-page applications (SPAs) using Angular and modern front-end tooling.
• Implement reusable UI components and frameworks that support multiple product lines.
• Collaborate with back-end engineers to integrate RESTful APIs and ensure seamless data flow.
• Mentor junior engineers for front-end initiatives as needed.
• Ensure front-end code quality, performance, accessibility, and cross-browser compatibility.
• Contribute to architectural decisions that span both front-end and back-end systems.
• Participate in Agile ceremonies and drive continuous improvement in development practices.
• Bachelor’s degree in STEM or equivalent experience.
• 4+ years of professional software development experience
• 2+ years of Angular development, with mastery of HTML, CSS, ES6, and front-end tooling (e.g., NPM).
• Experience building SPAs and working with DOM manipulation and browser compatibility.
• Proven ability to implement design patterns such as observables, flow control, and error handling.
• 4+ years of Java/J2EE experience, including integration with RESTful services and RDBMS (SQL).
• Familiarity with automated front-end testing frameworks (e.g., Jasmine).
• Experience with CI/CD pipelines, Docker, and Kubernetes.
• Strong problem-solving skills and understanding of object-oriented design and algorithms.
• Excellent communication and collaboration skills.
• Experience with Spring Boot, Spring JPA/Hibernate, and Spring Security.
• Exposure to non-relational databases (Redis, Elasticsearch, etc.).
• Familiarity with DevOps tools like Git, Jenkins, Azure DevOps, Terraform.
• Knowledge of microservices architecture and distributed systems.
• Scripting experience in JavaScript, Python, or Shell.
• Prior experience mentoring engineers and driving front-end best practices.
• This person needs to be available for team meetings at 9: 30 AM EST

System Administration Consultant

Senior Full-Stack Software Engineer – AI

Senior Data Engineer

Sales Training Manager

Product Manager – Mortgage Product

Product Manager, Access Product

Principal Data Engineer

Product Manager

Lead Software Engineer

Client Support Specialist II

Senior Integration Support Engineer

Principal Data Engineer

Instructional Designer

Full Stack Software Engineer II, Angular/ Java