This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Independently design, develop, and implement highly complex, scalable Salesforce applications and integrations using advanced Apex, complex Lightning Web Components (LWC), and advanced declarative features (Flows, Process Builders)
Design and maintain robust back-end services, APIs, and complex automation workflows utilizing Node.js, Python, and scalable cloud technologies (Azure, AWS)
Build and manage reliable data pipelines and integration processes (ETL) on Azure platform and Salesforce Data 360
Own integrations between Salesforce and multiple enterprise platforms, defining data contracts and standards via robust REST/SOAP APIs and event-driven architectures
Lead the customization and expansion of Agentforce capabilities to create mission-critical, context-aware employee experiences, ensuring performance and stability
Drive the implementation of Einstein Copilot, predictive analytics, and generative AI features into critical marketing and sales workflows, focusing on optimization and measurable business outcomes
Lead technical contribution to AI and ML initiatives, including the integration of complex large language models (LLMs) and generative AI into enterprise processes, focusing on security and data governance
Develop, maintain, and optimize high-performance front-end applications using modern JavaScript frameworks (e.g., advanced React.js/Next.js) and web component architecture
Serve as a key contributor to the Agile team, participating in roadmap planning, setting technical direction, and leading comprehensive peer code reviews
Mentor and guide junior Software Engineer team members, fostering technical growth and adherence to engineering best practices
Collaborate closely with product managers, data science teams, and business partners to define technical requirements and ensure scalable delivery
Requirements:
B.E / B.Tech / M.E / M.Tech / M.S / MCA graduate (preferably from a reputed college or University) with minimum 5-7 Years of experience in Salesforce development with a Product based company (Preferably Cloud or Mobile based)
5+ years of focused software engineering experience in a corporate setting
Expert knowledge of object-oriented programming principles and 3+ years of hands-on experience with at least one major programming language such as JavaScript, Python, Java, or C#
Working knowledge of and practical experience with generative AI productivity tools for software development (e.g., GitHub Copilot, Cursor) strongly preferred
Deep working knowledge of modern web development frameworks (React.js, Next.js, or similar) and a solid understanding of front-end state management and performance optimization
Strong working experience with cloud environments (Azure or AWS) and professional-level proficiency with DevOps tools (Git, CI/CD pipelines)
Demonstrated interest and practical experience in integrating AI and ML technologies, including LLMs, and applying them to enterprise-level sales or marketing workflows
Exceptional problem-solving, architectural thinking, and analytical skills, with a commitment to technical excellence
Excellent ability to communicate complex technical designs and collaborate effectively across fast-paced, cross-functional teams
Hands-on experience with advanced Salesforce platform development, including complex Apex triggers, asynchronous processing, Governor limit mitigation, and state-of-the-art Lightning Web Components development
Proven experience extending and optimizing Agentforce and applying Einstein Copilot or similar AI-enabled Salesforce/CRM tools to solve complex business problems
Salesforce Platform Developer or multiple advanced certifications (e.g. PD 1 / PD 2, Admin, Agentforce Specialist, Data Cloud Consultant)
Experience building and deploying machine learning models or deep familiarity with the MLOps lifecycle
Expertise in Salesforce DevOps methodologies, advanced CI/CD pipelines, and automated testing frameworks
Proven track record of leading the successful technical implementation of AI/Automation projects in a business-critical environment
Passion for teaching, mentoring, and contributing to the open-source or internal development community
What we offer:
Opportunity to work on impactful technical challenges with global reach
Vast opportunities for self-development, including online university access and knowledge sharing opportunities
Sponsored Tech Talks & Hackathons to foster innovation and learning
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work