or apply directly on Elastic's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 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 Engineer at Elastic will design, build, and ship full-stack features, focusing on both frontend and backend development using modern technologies and AI-assisted tools. This role involves end-to-end ownership of features, including solution design, development, testing, and deployment, while also contributing to CI/CD and Agile practices. The engineer will work with Salesforce and MuleSoft platforms, creating integrations and automations that enhance business processes.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- 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
- 10+ 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) and backend development (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, or similar
- Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices
- Strong analytical and problem-solving skills
Nice to have
- A true engineer at heart: someone who can reason about architecture, write clean code, and diagnose hard bugs
- Genuinely AI-native: you reach for AI tools by default and use them to build fluency across the stack
- Curious and adaptable — comfortable picking up new platforms quickly
- Ownership mindset: you drive features to done, care about quality, and elevate the engineers around you
- Excited about applying AI meaningfully to real business problems
What you get
- Compensation in the form of base salary
- Eligible to participate in Elastic's stock program
- Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Generous number of vacation days each year
Worth weighing
- No specific mention of remote work policy
- Salary range provided but may vary based on multiple factors
- Role involves working with Salesforce and MuleSoft, which may require ramp-up time for those unfamiliar with these platforms
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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