• 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.

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Mandatory Certifications:

• Platform Developer 1 (PD I)

Good to have:

• Platform Developer 2 (PD II)

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• 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) Technical Attributes 

• 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.

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Good to have:

• 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.

• 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.