Senior Salesforce Developer (Data Cloud and Agentforce)

Job Title: Senior Salesforce Developer Location: Bengaluru (Hybrid - 3 days from office) Experience Required: 8+ years in Salesforce Development, 2 years+ in Salesforce Data Cloud About the Opportunity K2 is seeking an experienced Salesforce Developer to support strategic, large-scale enterprise Salesforce initiatives for a highly technical global organization.

The work includes greenfield implementations, platform transformations, post-production enhancements, new development, and AI-enabled and agentic solutions using Agentforce, Data Cloud, external enterprise large language models, and modern interoperability standards such as the Model Context Protocol.

Key Responsibilities

Lead hands-on Salesforce development for enterprise implementations, platform transformations, enhancements, and AI-enabled initiatives. Translate Technical Architect direction and functional requirements into implementation-ready technical designs, reusable development patterns, and well-defined engineering tasks. Design, build, and review solutions using Service Cloud, Agentforce, Data Cloud, Salesforce Flow, Apex, Lightning Web Components, APIs, integrations, and declarative platform capabilities.

Write and review Apex classes, triggers, asynchronous processing, integrations, Lightning Web Components, Flows, custom metadata, validation, permissions, and other platform components. Apply strong engineering practices for bulkification, governor limits, transaction boundaries, error handling, observability, performance, maintainability, and secure coding.

Implement and review Agentforce solutions including agents, topics, instructions, actions, grounding, guardrails, human-in-the-loop escalation, and business-process integration. Support Data Cloud implementations involving data ingestion, profile or identity unification, governance, segmentation, activation, retrieval, and grounding for Salesforce and Agentforce use cases.

Build and support secure integration between Salesforce, Agentforce, external enterprise LLMs, enterprise systems, and AI services using REST and SOAP APIs, event-driven patterns, and MCP where appropriate. Implement agentic patterns involving tool calling, retrieval-augmented generation, orchestration, evaluation, observability, and controlled human escalation.

Partner with architects to determine when requirements should be addressed through declarative configuration, Flow, custom code, Data Cloud, enterprise integration, Agentforce, or a conventional non-AI solution. Review code, configuration, test coverage, data-access patterns, security, and release readiness; provide actionable feedback and enforce agreed engineering standards.

Mentor developers and administrators, lead technical problem solving, and resolve complex issues involving architecture, integration, security, data, performance, and deployment. Support source-driven delivery, branching, CI/CD, environment management, automated quality controls, and repeatable release practices across distributed teams.

Create and maintain technical designs, code-review standards, implementation guidance, reusable examples, troubleshooting notes, and engineering documentation. Communicate technical risks, tradeoffs, dependencies, and implementation decisions clearly to architects, engineers, analysts, and business-facing stakeholders.

Remain engaged throughout discovery, design, development, testing, deployment, release readiness, and production transition across onshore and offshore teams. Required Qualifications 8+ years of hands-on Salesforce development experience in complex enterprise environments, including senior or lead-level technical ownership.

Deep hands-on experience with Apex, Lightning Web Components, Salesforce Flow, SOQL/SOSL, asynchronous processing, data modeling, security and sharing, permission sets, profiles, roles, automation, REST and SOAP APIs, and enterprise integration patterns. Strong implementation experience with Service Cloud. Demonstrated hands-on experience building or implementing Agentforce solutions or other Salesforce-based agentic AI capabilities.

Practical understanding of agents, topics, instructions, actions, grounding, guardrails, security, human escalation, tool calling, and integration with business processes. Experience implementing or supporting Data Cloud solutions, including data ingestion, identity or profile unification, governance, segmentation, activation, retrieval, or grounding use cases.

Strong understanding of Salesforce governor limits, bulkification, transaction management, secure coding, error handling, monitoring, performance, testing, and release practices. Experience integrating Salesforce with enterprise systems and external services using APIs, event-driven patterns, middleware, and asynchronous processing.

Ability to translate architecture direction into working software, review other developers' implementations, establish reusable patterns, and independently resolve complex delivery issues. Strong consulting and communication skills, including the ability to work directly with architects, senior engineers, analysts, product stakeholders, and business teams.

Experience leading or mentoring distributed developers and working effectively in project-based, milestone-driven, Agile or iterative delivery environments.