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Elsevier

Global STM publisher of journals.

Senior Software Engineer - Salesforce

Backend EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • Advanced knowledge of software development methodologies (Agile/Scrum, Waterfall) as applied to Salesforce release cycles and org governance.
  • Strong proficiency in Apex, SOQL/SOSL, and data manipulation and optimization techniques, including bulkification, governor-limit-aware design, and asynchronous processing patterns.
  • Deep working knowledge of Service Cloud, including case management, Omni-Channel routing, queues and skills-based routing, entitlements and milestones, and Knowledge; Service Cloud Voice/CTI integration is a plus.
  • Solid experience with Experience Cloud, including LWR and Aura-based site building, community templates, sharing sets and rules, guest user security, and partner/customer self-service portal design.
  • Strong understanding of Salesforce data modeling, including standard and custom objects, normalized versus denormalized structures, sharing and security models, and large data volume design.
  • Strong knowledge of Salesforce data storage and integration subsystems, including Salesforce Connect, Platform Events, Change Data Capture, MuleSoft or equivalent middleware, and external objects.
  • Expertise in Salesforce development languages and frameworks, including Apex, Lightning Web Components, Aura, JavaScript, SOQL/SOSL, Flow/Flow Orchestrator, and integration via REST/SOAP APIs; working knowledge of Java/J2EE, HTML, XML, SQL, and .NET for integration and legacy system touchpoints.
  • Hands-on proficiency with AI-assisted development and AI-driven service/experience tooling, including Agentforce/Einstein, AI coding assistants (Claude Code, GitHub Copilot, Cursor), and evaluation of AI-generated code and outputs for security, compliance, and quality before production.
  • Strong research skills, including staying current on Salesforce release notes, Service Cloud and Experience Cloud feature rollouts, and AI feature releases.
  • Strong knowledge of Salesforce development best practices, including Apex design patterns, trigger frameworks, and CI/CD via tools such as Copado, Gearset, or Salesforce DX/SFDX pipelines.
  • Knowledge of the broader sales technology tool stack and its integration with Salesforce, including CPQ/Incentive Comp platforms, Customer Success platforms such as Gainsight, and work management tools such as Monday.com.
  • Ability to interface with business analysts, admins, and other technical personnel to finalize requirements and translate them into technical designs.
  • Ability to work with internal teams and external SI/ISV partners.
  • Knowledge of test-driven development, including Apex unit testing, LWC Jest testing, and AI-assisted test generation.
  • Ability to write and review detailed technical specifications for complex system components, including Service Cloud/Experience Cloud designs and AI agent/automation design documents.
  • Ability to complete complex bug fixes across Apex, LWC, integrations, and declarative automation (Flow).
  • Good oral and written communication skills, including explaining design and AI-assisted decisions and tradeoffs to non-technical stakeholders.
  • 5+ years of software engineering experience, with 3+ years building and supporting enterprise Salesforce implementations, including hands-on Service Cloud and/or Experience Cloud delivery.
  • BS in Engineering or Computer Science, or equivalent experience.
  • Salesforce Platform Developer I certification is required.

Responsibilities

  • Interface with business analysts, platform admins, and other technical team members to finalize requirements across Service Cloud, Experience Cloud, and the broader Salesforce ecosystem.
  • Write and review detailed technical specifications for complex system components, including custom Apex/LWC solutions, Experience Cloud site designs, and AI agent/automation designs.
  • Complete complex bug fixes across Apex, Lightning Web Components, Flow automation, and third-party integrations.
  • Work with development team members to understand complex product requirements and translate them into scalable Service Cloud and Experience Cloud architecture and software designs.
  • Implement development processes, coding best practices, code reviews, and AI-assisted development standards, including responsible use, review, and validation of AI-generated code.
  • Design, build, and govern AI-driven agents and automations within Service Cloud and Experience Cloud, such as Agentforce, ensuring outputs are accurate, secure, and aligned with business processes.
  • Operate in development environments such as Agile and Waterfall while collaborating with stakeholders across sales technology teams.
  • Resolve complex technical issues across Salesforce and adjacent platforms such as Oracle Sales Cloud Incentive Comp, Gainsight, and Monday.com, as necessary.
  • Train and onboard entry-level software engineers in Salesforce development standards and AI-assisted tooling as directed by department management.
  • Keep current with Salesforce platform releases, Service Cloud and Experience Cloud feature developments, and evolving AI development tooling.
  • Design and work with complex Salesforce data models supporting a 2,000+ user organization, considering performance and scalability.
  • Mentor less-senior software developers on Salesforce development methodologies, optimization techniques, and effective and responsible use of AI development tools.
  • Ensure development work aligns with release management, packaging, and compliance/audit requirements.

Desired Qualifications

  • Service Cloud Voice/CTI integration experience.
  • Service Cloud Consultant, Experience Cloud Consultant, Platform Developer II, Application Architect, or System Architect certification.
  • Experience with regulated, audited, or compliance-driven release environments.

About the Company

Elsevier

Global STM publisher of journals.

Elsevier provides scientific, medical, and technical content and analytics to researchers, educators, clinicians, and institutions worldwide through journals, books, databases, and digital platforms. It operates by offering access to peer-reviewed articles and professional literature via online platforms, along with tools for discovery, citation tracking, research management, and clinical decision support. Unlike other publishers, Elsevier combines a broad portfolio of STM content with integrated analytics and workflow tools, serving researchers, healthcare professionals, and academic institutions on a global scale. Its goal is to enable the advancement of knowledge and improve health outcomes by delivering reliable, accessible information and data-driven solutions across the research lifecycle.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
1880

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