Associate Software Engineer-Salesforce

Design, develop, and deliver complex Salesforce components and features end-to-end.

Make informed technology decisions based on technical evaluation, scalability, maintainability, and business impact.

Break down complex problems into manageable technical solutions and provide accurate effort estimations.

Develop high-quality, scalable, and maintainable code adhering to Salesforce best practices and coding standards.

Explore, evaluate, and implement alternative technologies and solutions within the Salesforce ecosystem.

Design and implement robust data models, Apex classes, triggers, Lightning Web Components, and integrations.

Assess application performance and identify optimization opportunities to improve scalability and user experience.

Troubleshoot, analyze, and resolve issues in production and sandbox environments.

Collaborate with product managers, architects, QA engineers, and other stakeholders throughout the software development lifecycle.

Support build, release, deployment, and CI/CD activities.

Handle the day-to-day uploading, organization, formatting, and maintenance of content assets within Git-based repositories and content management workflows.

Ensure repository hygiene through proper version control, branching strategies, documentation, and content governance practices.

Collaborate with cross-functional teams to maintain accurate and up-to-date technical and product-related content.

Monitor repository integrity and support efficient content lifecycle management processes.

Run, monitor, and troubleshoot multi-step AI agent workflows used for content drafting, data gathering, classification, and automated tagging.

Collaborate with engineering and product teams to improve AI-assisted workflows and process automation.

Analyze workflow outputs, identify issues, and implement corrective actions to improve reliability and efficiency.

Support the adoption of AI-driven productivity tools and best practices within the development ecosystem.

Drive effective collaboration across engineering, product, and business teams.

Research emerging technologies and contribute ideas for innovation and continuous improvement.

Demonstrate ownership, accountability, and a continuous learning mindset.

Navigate ambiguity effectively and proactively drive solutions to completion.