Salesforce Software Engineer

7 to 10 Years

India

* Develop and implement Salesforce declarative solutions, customizations, applications, extensions, and integrations that support multiple enterprise platforms and products.

* Architect scalable Salesforce and Data Cloud solutions, translating complex business and data requirements into secure, resilient technical designs.

* Design advanced data integrations across Salesforce, Data Cloud, GCP, and enterprise platforms using APIs, Change Data Capture (CDC), Platform Events, batch, streaming, and event-driven integration patterns.

* Design and implement Salesforce Data Cloud capabilities, including data ingestion, DLOs/DMOs, Identity Resolution and Identity Graphs, unified customer profiles, segmentation, calculated insights, and data activation.

* Define secure Identity and Access Management (IAM), authentication, and authorization patterns using OAuth 2.0/OIDC, SAML, SSO, Connected Apps, Named Credentials, certificates, roles, Permission Sets, and least-privilege principles.

* Implement enterprise data protection patterns including encryption at rest/in transit, Salesforce Shield Platform Encryption, BYOK, key management, tokenization, and data masking.

* Design and integrate scalable GCP data solutions leveraging BigQuery, Bigtable, Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Dataproc, and related data services.

* Apply modern data engineering practices across ETL/ELT, batch and streaming pipelines, data modeling, data quality, lineage, governance, observability, performance, and cost optimization.

* Perform code and architecture reviews, pair programming, and continuous refactoring while improving engineering standards, reusable components, automation, and CI/CD practices.

* Collaborate with Product, Engineering, Architecture, Security, and Data teams throughout the solution lifecycle; facilitate technical discussions, evaluate alternative approaches, and drive issues to resolution.

* Evaluate emerging Salesforce, Data Cloud, GCP, AI/ML, and Generative AI capabilities and identify opportunities for responsible enterprise adoption.

* Promote inner sourcing, knowledge sharing, engineering best practices, and continuous improvement across teams.

### Qualifications

* 7+ years of software development experience, with strong foundations in software engineering, architecture, object-oriented programming, and enterprise solution design.

* 5+ years of hands-on experience architecting, designing, developing, and configuring Salesforce, with deep understanding of platform capabilities, limitations, security, scalability, and governor limits.

* 5+ years of experience with Salesforce technologies including Apex, LWC, SOQL/SOSL, sObjects, triggers, controllers, REST/SOAP APIs, Bulk APIs, Platform Events, Change Data Capture, and JSON.

* Experience with Salesforce Data Cloud, including data ingestion and modeling, DLOs/DMOs, Identity Resolution, Identity Graphs, unified profiles, segmentation, calculated insights, and activation.

* Strong knowledge of enterprise IAM, authentication, authorization, and data security concepts including OAuth 2.0/OIDC, SAML, SSO, RBAC, Salesforce security controls, encryption, BYOK, key management, tokenization, and data masking.

* Experience with GCP data engineering technologies including BigQuery, Bigtable, Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Dataproc, and SQL, Python and/or Java.

* Strong understanding of data engineering and distributed data architectures, including ETL/ELT, batch/stream processing, data modeling, data quality, metadata, lineage, governance, resiliency, and observability.

* Experience integrating Salesforce and cloud/data platforms through scalable API-based and event-driven architectures, with understanding of performance, API limits, idempotency, error handling, and data consistency.

* 3+ years of experience with additional software engineering technologies such as Java, .NET, SOA, web services, databases, or other object-oriented development technologies.

* Experience with source control, automated testing, CI/CD, deployment automation, monitoring, and production support across Salesforce and cloud environments.

* Ability to analyze complex business requirements, architect and estimate solutions at various scales, communicate technical trade-offs, and collaborate effectively with diverse technical and non-technical partners.

* BS in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.