Staff Engineer, Salesforce

Join our collaborative Salesforce development team as a hands-on Staff Salesforce Engineer, where you will play a key role in designing, building, and maintaining scalable solutions across Sales Cloud, Service Cloud, and Experience Cloud. You will also contribute to our growing investment in Salesforce Data Cloud and Agent force, helping shape the next generation of our Salesforce capabilities.

This role for an experienced developer who enjoys writing production code, solving complex technical challenges, and influencing architecture and engineering standards. You will own solution design decisions within your domain, promote development best practices, and help advance our CI/CD maturity using Copado and Salesforce DX.

Working closely with developers, business analysts, product owners, and business stakeholders, you will contribute throughout the full sprint lifecycle—from requirements and technical design through development, testing, deployment, and production support.

This is an onsite position based in Bengaluru or Chennai

Key Responsibilities:

Platform development

• Design and implement solutions using Apex (classes, triggers, batch, queueable, schedulable), LWC, and Aura across Sales Cloud, Service Cloud, and Experience Cloud

• Build and configure Experience Cloud sites — templates, audience targeting, CMS content, community roles, and sharing rules

• Architect and govern hybrid declarative/programmatic solutions, balancing Flows and Apex with governor limit awareness

• Develop and maintain REST/SOAP API integrations with external systems using Named Credentials and Connected Apps

• Own custom object design, data model decisions, and sharing architecture in a multi-cloud org

AI, Agentforce & Data Cloud

• Configure and maintain Data Cloud data streams, data model objects, and identity resolution rulesets

• Build unified customer profiles by ingesting data from Salesforce CRM, external systems, and web/mobile event sources

• Create and manage segments, calculated insights, and activation targets for use in Service and Sales Cloud flows

• Collaborate with data and analytics teams on data governance, consent management, and profile hygiene

• Design and configure Agentforce agents — defining topics, instructions, and actions tied to Apex, flows, and external APIs

• Integrate Einstein features (Next Best Action, Case Classification, Copilot) within Service and Sales Cloud contexts

• Evaluate emerging Salesforce AI capabilities for production readiness and recommend adoption roadmap

DevOps AND Release Management

• Own and operate CI/CD pipelines using Salesforce DX (SFDX), Git, and Copado — including pipeline configuration, branch strategy, and quality gate rules

• Manage scratch org strategy, unlocked packages, and metadata conflict resolution across multi-sandbox environments

• Use CodeScan and PMD as automated code quality gates within the Copado pipeline