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Elastic

Lead Salesforce Full Stack AI Engineer

Elastic · Bangalore, India

Posted 26 days ago

or apply directly on Elastic's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
Elastic's roles stay open a median of 32 days
Reposted
No
Salary listed
No
0% of Elastic's roles list one
Ghost-job risk at Elastic
low
0 stale, 5 reposted of 372 open
Hiring momentum
495 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Elastic's own greenhouse board since 2026-08-03. Full hiring picture for Elastic.

About this role

The Lead Salesforce Full Stack AI Engineer at Elastic will design, build, and ship full-stack features, focusing on both frontend and backend development while leveraging AI-assisted tools throughout the software development lifecycle. This role requires end-to-end ownership of features, including integration with Salesforce and MuleSoft, and aims to streamline revenue processes through automation and intelligent solutions. The engineer will also contribute to improving engineering practices and collaborate with cross-functional teams to deliver high-quality, scalable solutions.

Our read on this posting3.6out of 5
benefits
4/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Elastic as an employer.

What you need

  • 12+ years of professional full-stack software engineering experience
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
  • Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS, modern frameworks)
  • Backend development experience (object-oriented programming, RESTful API design, databases/SQL, data modeling)
  • Hands-on experience using AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot
  • Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices

Nice to have

  • A true engineer at heart with the ability to reason about architecture and diagnose hard bugs
  • Genuinely AI-native, using AI tools to build fluency across the stack
  • Curious and adaptable, comfortable picking up new platforms quickly
  • Ownership mindset, driving features to completion and caring about quality
  • Excited about applying AI to real business problems and improving workflows

What you get

  • Competitive pay based on the work you do
  • Health coverage for you and your family in many locations
  • Flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Financial donation matching up to $2000
  • Up to 40 hours each year for volunteer projects

Worth weighing

  • No specific salary listed
  • Role involves working with Salesforce and MuleSoft, which may require ramp-up time for those unfamiliar with these platforms
  • Focus on AI-assisted development may imply a reliance on AI tools that candidates should be comfortable with

Summarised from Elastic's posting. Read the full original.

Listed by Elastic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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