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Lead Salesforce Full Stack Engineer
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Elastic·United States·25 авг.

Lead Salesforce Full Stack Engineer

🏢 ОфисLeadПолная занятость
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Наша компания

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organization

О роли

Elastic is looking for a Lead Salesforce Engineer who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow using tools like Cursor, Claude Code, or Codex across the entire stack. Adaptable and deeply curious, you will dive into platforms like Salesforce and MuleSoft while holding an end-to-end ownership mindset to elevate engineering practices

Чем предстоит заниматься

Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean, maintainable, well-tested code
Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs, applying solid object-oriented and software design principles
Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging, and code review, while maintaining engineering rigor over AI-generated output
Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices
Where the work runs on Salesforce, develop using Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows, and the platform's security model — with support to ramp up if you're new to the platform
Explore and build agentic and AI-powered features (e.g., Agent Builder, workflow automation, AI agents) that bring real automation and intelligence into business processes, with appropriate governance and human-in-the-loop checks
Own features through the full lifecycle: solution design, development, testing, deployment, and production support
Contribute to CI/CD, automated testing, code reviews, and Agile ceremonies; and raise the bar on engineering practices across the team

Наши требования

10+ years of professional full-stack software engineering experience — strong fundamentals across frontend, backend, APIs, and data
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, daily experience using AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar — able to write precise prompts and critically evaluate AI-generated code for correctness, security, and performance
Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices
Strong analytical and problem-solving skills, with the ability to independently design and deliver scalable technical solutions
Excellent communication and cross-functional collaboration skills
A true engineer at heart: someone who can reason about architecture, write clean code, and diagnose hard bugs — with or without AI in the loop
Genuinely AI-native: you reach for Cursor, Claude Code, or Codex by default, and use them to build fluency across the stack, not just in your specialty
Curious and adaptable — comfortable picking up new platforms (including Salesforce, Mulesoft) quickly when the work calls for it
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 — automation, decision support, and smarter workflows
Compensation for this role is in the form of base salary. This role does not have a variable compensation component
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave
Please see here for our Privacy Statement

Дополнительно

The typical starting salary range for this role is
$113,100—$178,900 USD
The typical starting salary range for this role in the select locations listed above is
$135,900—$215,100 USD
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
E
Elastic
United States

ГрейдLead
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано25 авг.
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