Lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks.
Compensation
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap priorities.
Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems.
Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance.
Conduct system design reviews to validate quality and alignment with architectural standards.
Build AI-driven applications integrating ML components and automation features.
Requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area
Nice to have: Master’s degree
Nice to have: Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
Design, develop, implement and support enterprise web applications using .NET, C#, MVC, Angular 8+, .Net Core, Web API, SQL Server, Javascript, Kendo UI, jQuery, JSON, HTML, CSS.
Responsibilities
Design, develop, implement and support enterprise web applications using .NET, C#, MVC, Angular 8+, .Net Core, Web API, SQL Server, Javascript, Kendo UI, jQuery, JSON, HTML, CSS.
Perform software development, unit testing and debugging, which may include the development of new software, reuse of existing code, modification of existing programs, or integration of purchased solutions.
Documents and demonstrates solutions by developing documentation and code comments.
Actively participate in design reviews by providing creative and practical ideas and solutions in a teamwork environment.
Ability to work in a Team which practices SCRUM/AGILE methodologies.
Requirements
Degree in Engineering / Computer Science or Equivalent
Lead Platform Engineer (Framework) responsible for designing, developing, and governing core software frameworks, SDKs, and reusable libraries used across enterprise application teams.
Responsibilities
Design, develop, and maintain high-performance reusable software libraries, SDKs, and shared services in Java or C#
Apply advanced software design patterns, dependency injection, and clean API design principles
Publish, version, and manage software packages using enterprise repository managers
Design and optimize automated build pipelines and CI/CD workflows using tools like Maven, Gradle, or npm
Establish and execute comprehensive automated testing strategies
Work collaboratively with agile team members, business stakeholders, and technology counterparts to deliver Salesforce solutions.
Design, develop, implement, test, and support Salesforce applications and components.
Develop and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), triggers, batch processing, and other Salesforce technologies.
Implement scalable, reliable, and fault‑tolerant applications that meet functional and operational requirements.
Leverage AI prompting tools to support development activities and explore AI‑driven solutions.
Lead the design, development, and deployment of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks.
Compensation
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities.
Drive full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems.
Conduct system design reviews to validate feasibility and ensure alignment with architectural best practices.
Build AI-driven applications and integrate ML components using multiple programming languages.
Requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
6 years’ experience in software engineering or related area.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
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