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Elastic

Senior Salesforce Engineer

Elastic is hiring a senior Salesforce engineer to work across the full stack on Salesforce, MuleSoft and related business systems. The role focuses on streamlining critical…

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Role Snapshot

Hiring Now
Work arrangement
Not specified
Location
United States
Salary
USD 94,300 - 149,200/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Published1h ago
Listing Views0
Applications0
Apply BeforeNo deadline

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About This Role

Elastic is hiring a senior Salesforce engineer to work across the full stack on Salesforce, MuleSoft and related business systems. The role focuses on streamlining critical revenue processes, scaling platform architecture and building AI-driven automations that remove manual work. Responsibilities include designing, building and shipping features from start to finish, covering user interfaces, APIs, business rules, data structures and connections to other systems. The engineer would build component-based front ends…

Job Description

Elastic is hiring a senior Salesforce engineer to work across the full stack on Salesforce, MuleSoft and related business systems. The role focuses on streamlining critical revenue processes, scaling platform architecture and building AI-driven automations that remove manual work.

Responsibilities include designing, building and shipping features from start to finish, covering user interfaces, APIs, business rules, data structures and connections to other systems. The engineer would build component-based front ends and back-end services, apply object-oriented design practices, and connect systems through interface standards and messaging-based designs.

On Salesforce, development uses Lightning Web Components, Apex, SOQL and SOSL, Flows, plus the built-in permission rules that govern data access, with support for engineers new to the platform. The role also covers agentic and AI-powered features with governance and human review, and ownership of each feature from solution design through testing, deployment and production support.

Engineers rely on AI coding assistants throughout the lifecycle, for example Cursor, Claude Code or Codex, and must review AI-generated output for correctness, security and performance. The work also touches delivery pipelines, test automation, peer review and Agile team routines.

Candidates need at least five years of professional full-stack experience and a bachelor's degree in a related technical field. Solid knowledge of JavaScript or TypeScript, HTML, CSS, REST API design and SQL databases is expected, along with familiarity with design patterns, Agile, Git and delivery pipelines, analytical problem-solving and strong cross-functional communication. The typical starting base salary range is $94,300 to $149,200 USD, or $113,300 to $179,200 USD in select locations named in the posting. Compensation is base salary only, with no variable component, and the role is eligible for the stock program and a 401(k) match.

Responsibilities

  • Take features from first design to launch, covering UI, APIs, business logic and integrations
  • Build component-based front ends and robust back-end services and APIs
  • Design and implement connections between systems using interface standards and messaging-based designs
  • Develop on Salesforce with Lightning Web Components, Apex, SOQL and SOSL, Flows and the security model
  • Explore agentic and AI-powered features with appropriate governance and human checks
  • Own features through solution design, testing, deployment and production support
  • Contribute to delivery pipelines, test automation, code review and Agile team routines

Requirements

  • At least five years working across the full stack in professional roles
  • A bachelor's degree in a related technical field
  • Proficiency in JavaScript or TypeScript, HTML, CSS and modern frameworks, plus object-oriented programming, REST API design and SQL
  • Daily experience with AI-assisted coding tools, with the judgement to evaluate generated code
  • Working familiarity with design patterns, the development lifecycle, Agile, Git and delivery pipelines
  • Analytical reasoning, problem-solving ability and clear cross-functional communication

Qualifications

  • Ability to think through architecture, produce tidy code and track down tough defects
  • Quick ramp-up on new platforms such as Salesforce and MuleSoft
  • An ownership mindset that drives features to completion and raises the bar for others
  • Interest in applying AI to real business problems such as automation and decision support

Core Skills

Benefits

  • Pay set by the work performed, not by previous earnings
  • Health coverage for employees and their families in many locations
  • Flexibility over work location and schedule for many roles
  • A generous annual allowance of vacation days
  • A company match of up to $2,000 for financial donations and service, or the local-currency equivalent
  • Up to 40 hours per year for volunteer projects
  • At least 16 weeks of parental leave
  • Eligibility for Elastic's stock program
  • A 401(k) match on a one-to-one basis, capped at 6% of eligible pay

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Where is the role based?

The posting lists the United States as the location.

What experience does the posting ask for?

It asks for at least five years of professional full-stack experience and a bachelor's degree in a related technical field. Skills include JavaScript or TypeScript, REST API design and SQL.

What is the pay range?

The posting gives a typical starting base salary range of $94,300 to $149,200 USD, or $113,300 to $179,200 USD in select locations, and says the role has no variable compensation component.

Is this a full-time role?

Yes, the posting lists the employment type as full-time.

How do I apply?

The posting does not describe the application process.

Sample Interview Questions

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Added to Jobsiz: Oct 13, 2026

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