Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Salesforce Technical Architecture
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Role Summary Own the end to end technical design and delivery for Salesforce features across Sales Cloud, Service Cloud, CRM Analytics (CRMA), and Agentforce. You will translate user stories into robust, scalable solutions guide developers and testers uphold code quality and accelerate sprint throughput—while keeping the architecture future proof and enterprise grade. Key Responsibilities: Solutioning & Architecture Examine user stories and acceptance criteria propose futuristic, scalable technical solutions with clear build vs config trade offs, aligning to guardrails, performance, and governor limits. Design patterns that leverage Apex, LWC, Flows, Platform Events, External Services, and CRMA data pipelines/dashboards define integration patterns (REST/SOAP/OAuth). Architect Agentforce/Einstein Copilot use cases (skills/actions, policies/guardrails, prompt templates, safety runbooks, data access boundaries) and ensure responsible AI design. Delivery & Sprint Acceleration Lead backlog refinement: clarify stories, call out dependencies, identify spikes/POCs, and size work (story pointing) to unblock the team. Drive sprint planning, daily scrums, reviews, and retros partner closely with the Scrum Master and BAs to fast track development while maintaining Definition of Ready/Done. Remediate blockers proactively organize swarms keep flow metrics healthy (cycle time, throughput, escaped defects). Hands on Build & Quality Remain hands on (30–50 ): build complex Apex/LWC/Flow components CRMA dataflows/recipes/SAQL Agentforce skills and orchestration. Enforce code reviews with clear standards (bulkification, SOQL/SOSL hygiene, limits, testability, security). Maintain high test coverage (Apex, Jest for LWC), performance profiling, and static analysis (PMD/Sonar) practices. Collaboration & Governance Partner with Architects, PO, BAs, DevOps, and QA/test leads to ensure end to end quality. Support refinement and estimation calls run solution walkthroughs conduct UAT support and production readiness reviews. Uphold security, compliance and NFRs (e.g., data residency, PII handling, row level access in CRMA, auditability). DevOps & Release Management Champion SFDX/Git workflows, CI/CD (e.g., Copado/Azure DevOps/GitHub Actions), and environment strategy (scratch orgs/sandboxes). Ensure versioning discipline, deployment automation, and roll back/feature flag strategies. Must Have Qualifications Experience: 10-12 years relevant experience in Salesforce with significant design/lead responsibilities. Clouds: Strong Sales Cloud, Service Cloud, Experience Cloud solutioning and configuration/customization. Development: Apex (triggers, async, batch, schedulable, queueable), Lightning Web Components (LWC), Flows (record triggered, screen, orchestration), Invocable Actions. CRMA (Tableau CRM): datasets, dataflows/recipes, lenses, dashboards, SAQL, security predicates/sharing inheritance. Agentforce/Einstein Copilot: designing skills/actions, prompt templates, guardrails/safety policies, and integration with Salesforce data and processes. Integrations: REST/SOAP APIs, OAuth/JWT, Platform Events, Change Data Capture, Outlook, Teams etc. Quality & Security: Apex/LWC unit testing, Jest, PMD/Sonar OWASP/Shield basics GDPR/PII handling governor limit aware design. Agile: Strong backlog refinement, estimation, and sprint execution skills mentoring developers and testers. Good to Have Certifications: o Salesforce Platform Developer I/II, Administrator/Advanced Admin o Sales Cloud Consultant / Service Cloud Consultant o CRM Analytics & Einstein Discovery Consultant o Salesforce AI Associate or equivalent Agentforce/Einstein training Data & AI: Salesforce Data Cloud exposure, eventing/RAG patterns, prompt engineering best practices. Behavioral Expectations Futuristic mindset: anticipates scale, extensibility, and operability proposes modernization opportunities. Developer s leader: coaches through code raises the bar on engineering craftsmanship. Bias for action: short feedback loops, builds small and ships often without compromising quality. Clear communicator: translates between business and engineering documents decisions and trade offs. Success Metrics greater than 95 user stories delivered within planned sprint boundaries for the pod(s) you lead. Zero P1 defects post release from stories under your review overall code coverage 85 for new/reworked components. Established coding standards + review checklist CI/CD pipeline baseline green across lower orgs. At least 2 Agentforce POCs shaped and one promoted to backlog with validated acceptance criteria.
Gurugram
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