Software Engineer - MuleSoft and Salesforce Dev... @ Cisco
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About the Role
Cisco's Professional Services IT Team empowers our internal team and drives significant revenue across Cisco and Splunk projects. The team builds a unified, intelligent enterprise platform that enhances user experiences and business processes.
Your Impact
As a Software Engineer - MuleSoft and Salesforce Development at Cisco, you will design, build, and optimize solutions that streamline business processes, enhance user experiences, and safeguard data integrity across our Salesforce and MuleSoft ecosystems. You will integrate AI-powered capabilities to automate tasks, deliver predictive analytics, and support intelligent decision-making.
Key Responsibilities
- Design and develop customized solutions on Salesforce and MuleSoft platforms.
- Integrate AI-powered capabilities for automation and analytics.
- Create and maintain APIs, connectors, flows, and scripts.
- Collaborate with business teams to deliver innovative integration strategies.
- Ensure performance, security, and data accuracy in all solutions.
Minimum Qualifications
Bachelor's degree in Computer Science or related field with proven experience in Salesforce and/or MuleSoft development. Hands-on experience with AI/ML integration using Salesforce Einstein or similar tools is required.
Preferred Qualifications
Continuous learning mindset, strong problem-solving skills, excellent collaboration abilities, and familiarity with modern web technologies and Agile methodologies. Relevant certifications are highly desirable.
About Cisco
Cisco has been a technology leader for 40 years, pioneering solutions for global business connectivity and security, now integrating AI to further empower our digital ecosystem.
Key skills/competency
MuleSoft, Salesforce, AI, automation, integration, REST, SOAP, APIs, CI/CD, cloud
How to Get Hired at Cisco
🎯 Tips for Getting Hired
- Research Cisco's culture: Study mission, values, and recent projects.
- Customize your resume: Highlight Salesforce, MuleSoft, and AI skills.
- Prepare for technical interviews: Practice coding and API design questions.
- Showcase integration expertise: Emphasize past project outcomes.