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Designs and refines data platform blueprints, collaborating with integration and data architects to ensure cohesive system and data-model integration. Leads platform performance and scalability improvements, supports team decisions, coordinates cross-functional data strategy initiatives, and mentors team members. Requires advanced data visualization expertise, experience integrating visualization tools into data platforms, and familiarity with data architecture principles. Microsoft Fabric experience is preferred.

Develop production-ready AI and machine learning applications using Salesforce Einstein AI, cloud AI services, and generative AI models. Responsibilities include deploying and managing AI models, applying deep learning and neural networks, integrating chatbots and image processing, collaborating across teams, making technical decisions, mentoring team members, and monitoring project alignment with strategic goals.

Develop and enhance Roku streaming applications using BrightScript, Scene Graph, Roku APIs, and modern web technologies. Responsibilities include designing UI components, integrating player, analytics, advertising, and billing services, consuming RESTful APIs, optimizing performance, debugging, supporting certification and deployment, and collaborating with teams on technical decisions and project delivery.

Build and support enterprise applications using low-code platforms, APIs, data sources, and enterprise systems. Develop custom integrations and extensions, use AI tools for development and testing, improve existing solutions, and collaborate in agile teams. The role includes structured training, paid certification, mentoring, and hands-on client project experience.

Contributes to the design and refinement of scalable data platform blueprints, collaborating with integration and data architects to align systems, data models, and business requirements. The role supports data integration, governance, quality, consistency, and platform efficiency. It also involves independently solving technical problems, participating in team discussions, identifying scalability improvements, and mentoring junior team members.

Develop end-to-end features across user experience and backend systems using AI agent workflows, cloud technologies, and agile development. Collaborate across teams, make technical decisions, mentor team members, improve development processes, and deliver scalable solutions for client business challenges.

Leads the design, deployment, and enhancement of integration solutions using low-code platforms. Evaluates system architecture, enforces development standards, reviews code, collaborates with product owners and architects, mentors junior developers, and supports Agile and continuous-improvement initiatives. Requires integration or low-code development experience, API and SQL expertise, XML technology knowledge, DevOps exposure, strong communication skills, and an IT-related degree.

The job description provides no specific responsibilities or qualification details beyond the title, Custom Software Engineer.

Drives product vision as the voice of the customer, managing the roadmap and backlog through human-centered design and iterative feedback. Collaborates across teams, facilitates stakeholder alignment, analyzes market trends and user feedback, and translates customer requirements into product features. Requires strong product management and agile expertise, user research experience, and Spring Boot proficiency.

Develop and lead end-to-end full-stack software features using Java, frontend technologies, RESTful APIs, databases, and cloud platforms. Serve as a subject matter expert, manage and mentor teams, make cross-team technical decisions, coordinate with stakeholders, and implement engineering best practices in an agile environment.