Infoblox is a company that empowers innovation and creativity in technology solutions. They are seeking a Senior Partner Solutions Engineer to develop technical integrations and joint solutions with major cloud providers and partners, focusing on networking and security. The role involves prototyping, validating architectures, and driving cross-functional collaboration to enhance partner enablement and integration success.
Responsibilities:
- Support technical alliances and integrations end-to-end with AWS, Azure, GCP, and strategic ISVs—from use cases discovery and scoping through design, build, validation, and launch
- Balanced technical depth and business acumen: Translate customer/partner needs into sound architectures and measurable outcomes, and clearly communicate trade-offs to both engineers and executives
- Prototype rapidly: build PoCs, reference architectures, and sample code to prove value and accelerate partner buy-in
- Co-develop joint solutions aligned to AI, cloud, networking, and security use cases
- Integrate cloud-native signals & services (e.g., AWS Security Hub, Microsoft Sentinel, Google Chronicle) into Infoblox platforms and partner stacks
- Publish partner enablement assets: solution briefs, reference guides, Terraform/CloudFormation/Bicep examples, SDK snippets, and demo environments
- Drive cross-functional alignment with Product Management, Engineering, TME, Product Marketing, and Sales, present solutions to customers and channel partners
- Influence partner roadmaps: secure early visibility and prioritize integrations that deliver mutual GTM impact
- Measure and iterate: define success metrics (adoption, usage, win-rate impact), collect feedback, and continuously harden integrations
Requirements:
- 7-12 years across cloud, networking, and cybersecurity with a track record of shipping partner integrations and joint solutions
- Strong hands-on depth with AWS, Azure, and GCP services (identity, logging, messaging, storage, serverless, Kubernetes) and at least one IaC tool (Terraform preferred)
- Scripting/Software: Python/Go/TypeScript for APIs, webhooks, CLIs, and automation; familiarity with event-driven design and async patterns
- Experience integrating with security platforms (SIEM/SOAR/EDR/NAC/NGFW/ITSM)
- AI/LLM practical experience: Hands-on building agent workflows with Amazon Bedrock / Agents or Azure OpenAI or GCP Vertex AI; retrieval (RAG), prompt/Eval pipelines, tools/functions, structured outputs, and guardrails
- Ability to translate market and customer needs into crisp technical use cases and business cases; comfort presenting to senior technical and business stakeholders
- Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- certifications in either AWS Solutions Architect / Security, Azure Solutions Architect / Security, Google Professional Cloud Architect, CKA, CISSP, CCNP
- experience with Cloud architecture best practices, data privacy/compliance considerations in AI and security data flows
- familiarity with DDI/IPAM, Protective DNS, and Zero-Trust architectures