Meet the Team

You ll join Cisco s Connected Engineering & Transformation Office Integration Team agile, an innovative group enabling Sales, Marketing, Support, and Partner teams. We design, deliver, and maintain integration solutions that power automation, data flow, and business intelligence across Salesforce CRM and the Cisco technology landscape.

Your Impact

As a Software Integration Engineer, you will be at the center of our digital ecosystem designing, building, and operating resilient APIs and integrations that power detailed experiences across platforms, partners, and customers. You ll harness MuleSoft CloudHub 2.0, AWS services, MongoDB, PostgreSQL, Splunk, and UI frameworks to deliver secure, scalable, and observable integrations. Your expertise will shape system design and ensure our integration ecosystem supports both transactional and data-driven workloads.

Key Responsibilities:

Integration Design & Development: Design, develop, and maintain scalable enterprise integrations on MuleSoft CloudHub 2.0, connecting Salesforce, commerce platforms, on-premises applications, databases, and modern user interfaces.

API & Data Engineering: Build API-led integrations, ETL/data pipelines, and real-time streaming flows across hybrid environments; integrate AI/ML workloads and ensure efficient data movement between systems.

Platform & Database Integration: Configure and run CloudHub 2.0 features (Private Spaces, TLS domains, load balancers, Flex Gateway), and integrate with AWS (S3, OpenSearch, Lambda, PostgreSQL), MongoDB Atlas, and relational/NoSQL databases.

Security, Monitoring & Observability: Implement authentication/authorization (Okta, DUO), implement API policies, and use tools like Splunk and custom dashboards for flow monitoring, fix, and recovery.

Partnership & Best Practices: Partner with architects, developers, and business collaborators to translate requirements into robust solutions; conduct code reviews, share knowledge, and apply integration protocols and UI frameworks.

Agile Delivery: Participate in Scrum ceremonies, progress in Jira, and chip in to continuous improvement.

Innovation: Stay ahead of MuleSoft and integration trends, adopting new tools, frameworks, and patterns to improve the ecosystem.

Minimum Qualifications

Education and Core Experience: Bachelor s degree in computer science, Engineering, or a related field, or 5+ years of experience in software design, development, and delivery for web or cloud-based enterprise applications.
Technical Expertise in Mulesoft with any additional as plus:
MuleSoft: Expertise in designing, developing, and deploying integration solutions using MuleSoft tools (API Manager, Design Center, Runtime Manager, Flex Gateway) and proficiency in DataWeave for data transformation, REST/SOAP Webservices.
Front-End: Strong skills in JavaScript frameworks (React, Angular, or Vue), TypeScript, HTML, CSS, and responsive UI/UX design.
Back-End: Expertise in server-side languages (Java, Python, Node.js, or C#), API development (REST/GraphQL), database design (SQL/NoSQL), and scalable microservices architecture.
Integration & Cloud Proficiency: Validated experience integrating with third-party systems and cloud platforms (AWS, Azure, or GCP), authentication (OAuth, JWT), and event-driven architectures.
DevOps & Engineering Excellence: Strong background in CI/CD pipelines, Git-based version control, automated testing, code reviews, and SDLC practices. Experience with containerization (Docker, Kubernetes) and monitoring tools is a plus.
Agile Mentality & Communication: Experience working in Agile, with strong analytical and problem-solving skills. Excellent English interpersonal skills to collaborate effectively in global teams.

Preferred Qualifications

Salesforce & Cloud Certifications: Salesforce Platform Developer/Administrator certifications, MuleSoft Developer/Architect, or equivalent cloud credentials (AWS, Azure, GCP). Shown interest in expanding Salesforce or cloud expertise.
Technical Leadership: Shown leadership in technical design, code quality, and architectural decisions on multi-functional projects.
Analytical Thinking & Problem Solving: Proven record to fix integration issues, propose enhancements, and leverage analytics or AI to improve system efficiency and data reliability.
AI-Driven Orchestration: Experience using MuleSoft to securely connect LLMs, design AI agent workflows via Model Context Protocol (MCP), and use AI-assisted tools like MuleSoft Vibes for accelerated API development.
Continuous Learning & Innovation: Passion for ongoing professional development through certifications, experimentation, or community engagement. Eagerness to explore and apply new technologies.
Collaboration, Communication & Documentation: Collaboration skills for working across technical and business teams, with strong communication and documentation habits to ensure clarity and effective knowledge in a fast-paced, innovative environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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