As a Sr. App Integration Engineer you will be responsible for designing and implementing asynchronous and synchronous patterns, developing integrations levering AWS and a number of other responsibilities on our fast parsed Enterprise Systems team. This role will be located in Palo Alto, CA and report to our Sr. Manager, Integration Engineering.
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Design and implement asynchronous and synchronous patterns including Request/Response, Pub/Sub, and Event Streaming utilizing AWS native architecture.
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Develop integrations leveraging AWS services, Kafka, and iPaaS platforms (e.g., Dell Boomi, Workato).
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Architect decoupled, event-driven systems designed to mitigate common distributed system challenges, such as network latency and eventual consistency.
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Rapidly acquire and apply expertise in emerging Generative AI technologies, transitioning from traditional middleware to AI-driven integration patterns
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.Standardize integration templates and reusable services to ensure scalability and industry alignment.
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Empower "citizen integrators" by providing self-service frameworks, effectively scaling integration capabilities across the organization.
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Collaborate with business and IT leadership to define requirements and deliver technical solutions with a "product-first" mindset.
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Champion architectural excellence by providing expert feedback on corporate strategies and standards within the broader technical community.
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5+ years of experience in complex integration projects involving both SaaS and on-premise applications.
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2+ years of hands-on experience specifically focused on AWS services (e.g., S3, Lambda, Glue, EKS, API Gateway)
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Expertise in at least one major middleware platform, such as Boomi, MuleSoft, or Workato.
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Strong proficiency in programming languages like Java, Python, or Node.js.
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Solid understanding of Microservices, API design, ETL processes, and Web Services.
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Deep knowledge of industry-standard protocols, including REST, SFTP, HTTPS, and SMTP.
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Hands-on experience implementing integrationauthentication mechanisms such as OAuth, SAML, and Single Sign-On (SSO).
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Preferred knowledge of implementing Amazon Bedrock Agents or framework-agnostic platforms like Bedrock AgentCore; familiarity with open-source frameworks such as LangGraph, CrewAI, or LlamaIndex is a major plus.
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Experience using Airflow or AWS Step Functions to orchestrate multi-step agent workflows, handle retries, and manage human-in-the-loop approvals.
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Experience integrating SaaS applications with SAP HANA is highly desirable.
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End-to-end B2B integration experience (EDI, Punch-out/Punch-in); familiarity with gRPC, AS2, and WebSockets is a distinct advantage.
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Proven track record using tools like AWS Lambda and Apache Airflow for data pipeline and workflow orchestration.
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Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
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Deep proficiency in GitLab Version Control and branching strategies (e.g., GitLab Flow, Trunk-based development) within highly controlled, compliant environments.
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Demonstrated experience with Infrastructure as Code (IaC) tools such as Terraform, Terragrunt, or CloudFormation to automate deployment pipelines.
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An innovative, out-of-the-box thinker with strong organizational skills and a "product mindset" toward integration.
