DDN
Sr Salesforce Developer – Post Sale
Remote - New York · Senior
Sponsorship not specifiedDetected 6 days ago
GitCI/CDDatadogDevOpsRESTOAuthJiraSalesforceOutbound SalesLogisticsCollaboration
About the role
- We are hiring a Senior Salesforce Developer to own the post-sale Salesforce footprint — Service Cloud, Experience Cloud (partner portals), and the asset / entitlement / case backbone that powers our global support organization. Like the rest of our Salesforce team, you will operate as a forward-deployed engineer: there are no separate BAs, QAs, or release
- engineers — you own the full lifecycle from requirement to production, working hand-in-hand with the support, services, and partner-success teams.
Responsibilities
- Design and build Service Cloud functionality: case management, case routing and assignment, queues, omni-channel, escalation rules, milestones, entitlement processes, SLA enforcement, and service console experiences for support engineers.
- Implement and maintain complex asset and entitlement management - multi-level asset hierarchies, asset-based entitlements, warranty / contract linkage, and asset-to-case association used by support engineers every day.
- Own Email-to-Case (and Web-to-Case where applicable): configure routing addresses, parsing rules, threading, attachments, on-behalf-of handling, and bounce management.
- Build and maintain Experience Cloud / Partner Portal sites - page design (LWR or Aura templates), navigation, sharing and visibility, audience targeting, knowledge surfacing, case submission, asset visibility, and self-service flows.
- Build core Salesforce customizations using Apex (triggers, batch, queueable, async), Lightning Web Components, Aura, and Salesforce Flows.
- Design and implement integrations between Salesforce and the post-sale ecosystem - telemetry / monitoring platforms, RMA / logistics systems, parts and inventory, knowledge bases, chat / voice platforms, and field service tooling - using REST/SOAP APIs, OAuth, named credentials, Platform Events, Change Data Capture, and Bulk/Streaming APIs.
- Collaborate closely with our dedicated integration / middleware team (who own MuleSoft, Boomi, and Workato) to co-design contracts, troubleshoot cross-system flows, and ship end-to-end solutions together.
- Partner directly with support engineers, services managers, and partner-success leaders to gather requirements and ship iteratively.
- Own production support for the post-sale Salesforce stack: triage, root-cause analysis, hotfix, and long-term remediation.
- Manage your own deployments using SFDX, Git-based source control, and CI/CD pipelines (Copado, Gearset, Flosum, or similar).
Requirements
- 7-10 years of total Salesforce experience, with at least 4+ years dedicated to Service Cloud and Experience Cloud / Communities.
- Production experience with Email-to-Case (routing addresses, parsing, threading, attachments, and edge-case handling).
- Experience with Git, SFDX, and CI/CD tooling for Salesforce.
Nice to have
- Familiarity with the patterns makes the collaboration smoother.
- Experience with Field Service / FSL (work orders, service appointments, dispatcher console, mobile app).
- Experience integrating Salesforce with monitoring / telemetry platforms (Splunk, Datadog, ServiceNow) or RMA / logistics systems.
- Experience with CTI integrations (Genesys, Amazon Connect, NICE inContact, Five9, Talkdesk).
- Experience with Knowledge management, AI-assisted case deflection, Einstein for Service, or Agentforce Service Agents.
- Familiarity with ITSM concepts and tools (ServiceNow, Jira Service Management).
- Prior hands-on experience using AI development tools (Agentforce Vibes, vibe coding, Copilot, Claude, etc.) in a Salesforce context is a plus.
- Salesforce Certified Platform Developer II
Skills
- Like the rest of our
Company info
- Use AI tools (e.g., Agentforce Vibes / vibe coding, Copilot, Claude) as part of your day-to-day workflow - we expect every engineer on the team to lean on AI to ship faster and better.
This listing is sourced directly from DDN's careers page and normalized into a canonical job model.