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RELX

Global information analytics and decision tools

Senior Software Engineer - Salesforce

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

About the Job

Requirements

  • Advanced knowledge of software development methodologies, including Agile/Scrum and Waterfall, as applied to Salesforce release cycles and organization 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.
  • 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 (LWC), Aura, JavaScript, SOQL/SOSL, Flow/Flow Orchestrator, and 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 through tools such as Copado, Gearset, or Salesforce DX/SFDX pipelines.
  • Knowledge of the broader sales technology 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, administrators, 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).
  • Strong oral and written communication skills, including the ability to explain design and AI-assisted decisions and tradeoffs to non-technical stakeholders.
  • At least 5 years of software engineering experience, including at least 3 years building and supporting enterprise Salesforce implementations, with hands-on Service Cloud and/or Experience Cloud delivery.
  • A BS in Engineering or Computer Science, or equivalent experience, is required.
  • Salesforce Platform Developer I certification is required.

Responsibilities

  • Interface with business analysts, platform administrators, 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 other 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.
  • Work 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, including Oracle Sales Cloud Incentive Comp, Gainsight, and Monday.com, as needed.
  • Train and onboard entry-level software engineers on Salesforce development standards and AI-assisted tooling as directed by department management.
  • Stay current on Salesforce platform releases, Service Cloud and Experience Cloud features, and evolving AI development tooling.
  • Design and work with complex Salesforce data models supporting an organization of more than 2,000 users, 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.
  • Perform other duties as assigned.

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

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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