Full-Time

Sr Salesforce Engineer

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

No salary listed

Senior

India

In Person

Category
Backend Engineering
Software Engineering
Required Skills
Salesforce
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
  • At-least 5 years of proven experience as a Salesforce developer, with a strong understanding of the Salesforce platform and its capabilities.
  • Solid experience in Salesforce development, including Apex, Visualforce, Lightning components, and Salesforce configuration.
  • Strong knowledge of Salesforce integration patterns and experience working with REST and SOAP APIs.
  • Strong analytical and problem-solving skills, with the ability to translate complex business requirements into scalable technical solutions.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
  • A self-motivated individual who can work independently and efficiently manage multiple priorities in a fast-paced environment.
Responsibilities
  • Develop and customize Salesforce applications, using Apex, Visualforce, Lightning components, and other relevant technologies.
  • Collaborate with stakeholders and end-users to gather requirements, analyze business processes, and design scalable Salesforce solutions.
  • Design, develop, and maintain custom objects, workflows, validation rules, process builders, and other Salesforce configuration elements.
  • Implement integrations between Salesforce and other systems using REST and SOAP APIs.
  • Perform data migrations and maintain data integrity within Salesforce.
  • Conduct thorough testing and debugging of Salesforce applications to ensure optimal performance and functionality.
  • Provide technical expertise and guidance to project teams, administrators, and end-users.
  • Stay up-to-date with the latest Salesforce releases and features, and proactively suggest ways to leverage them in our organization.
  • Participate in code reviews and provide constructive feedback to ensure high-quality code.
  • Collaborate with other developers and stakeholders to ensure a cohesive and effective implementation of Salesforce solutions.
Desired Qualifications
  • Proficiency in web technologies such as HTML, CSS, JavaScript, and frameworks like AngularJS or React is a plus.
  • Experience with Copado, Salesforce DX and source control systems (e.g., Git) is preferred.
  • Salesforce certifications such as Salesforce Certified Platform Developer II and Salesforce Certified Platform Developer I are highly desirable.
  • Familiarity with agile development methodologies and experience working in an agile environment.
  • Salesforce CPQ Specialist certification.
  • Experience with working on Lightning Experience.
  • Experience with CICD tools ( Copado ).
  • Experience with CLM applications like Conga and Revenue Applications like ( Revpro ).

Elastic offers search-powered solutions that enable businesses to search, analyze, and visualize data in real-time. Its main product, Elasticsearch, is a versatile search engine that can be deployed in the cloud or on-premises, helping organizations manage large volumes of data for better decision-making. Unlike its competitors, Elastic provides flexible subscription options and additional services like consulting and training. The company's goal is to empower organizations to effectively utilize their data for improved operational efficiency.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Mountain View, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's integration with Red Hat's OpenShift AI enhances its AI market reach.
  • Elastic Cloud Serverless on Microsoft Azure expands its scalable cloud solutions.
  • Recognition as a leader in security analytics boosts Elastic's credibility and market share.

What critics are saying

  • Competition from observability platforms like Datadog and Splunk may impact market share.
  • Elastic Cloud Serverless may face adoption challenges against Azure's native services.
  • Integration with Google Cloud Vertex AI may struggle if Google enhances its own tools.

What makes Elastic unique

  • Elastic offers a comprehensive open-source Elastic Stack for diverse data needs.
  • Elastic's AI-optimized architecture supports low-latency and native vector database capabilities.
  • Elastic's products are used by major organizations like NASA, Microsoft, and Verizon.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Elastic
Jul 10th, 2025
Elastic named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Observability Platforms

Elastic NV think this is why Elastic has been named a Leader in the 2025 Gartner(R) Magic Quadrant(TM) for Observability Platforms for the second time.

Elastic
Jun 26th, 2025
Elastic Cloud Serverless now generally available on Microsoft Azure

Today, Elastic NV is excited to announce the general availability of Elastic Cloud Serverless on Microsoft Azure - now available in the EastUS region.

VarIndia
Jun 25th, 2025
Elastic named leader in security analytics by Forrester

Elastic named leader in security analytics by Forrester.

Elastic
Jun 24th, 2025
Elastic named a Leader in The Forrester Wave(TM): Security Analytics Platforms, Q2 2025

Elastic NV is excited to share that Elastic has been named a Leader in The Forrester Wave(TM): Security Analytics Platforms, Q2 2025.

Epium
May 31st, 2025
Elastic Launches LLM Observability Integration for Google Cloud Vertex AI

Elastic has announced the general availability of its Large Language Model (LLM) observability integration for Google Cloud | s Vertex AI platform, aiming to revolutionize the way organizations monitor and optimize Artificial Intelligence deployments.