Job Description
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Principal API Architect, AI & Microservices:
Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while
tackling challenges at the forefront of ML and microservices? Do you want to be part of the team working on
groundbreaking products that define the future of AI-driven network management? Then come, advance with us.
This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of
generative AI, IoT, big data, cloud computing and microservices. We are specifically seeking an expert in API design
for microservices, someone who can establish and enforce industry-best practices for API architecture and lifecycle
management (e.g., forward/backward compatibility, schema evolution, versioning, idempotency, and dynamic
throttling) and make those APIs frictionless for consumption by AI/agentic systems. In this role, you will play a
pivotal part in shaping the Core AI foundation by architecting APIs that serve as the backbone for agentic and
generative AI capabilities across Extreme’s platform. You will partner closely with AI engineers to ensure APIs are
consistently modeled (OpenAPI/JSON Schema/AsyncAPI), secure, resilient, observable, and agent -friendly (clear
contracts, tool/function specs, streaming support, and robust error taxonomies).
This is a greenfield project in which you will help define every aspect of user and product experience and drive
significant portions of the technical and scientific roadmaps.
There has never been a better time to join Extreme, after several acquisitions extending our portfolio and go -to
market strategy, we have seen enormous opportunity and growth within the regions. Aside from being a
Technology Leader in the Gartner Magic Quadrant, we also adamantly promote an internal culture that truly
embraces diversity, inclusion, and equality in the workplace. Having Diversity and Inclusion as part of our core
values and beliefs, we’re proud to foster an environment where every Extreme employee can thrive because of
their differences, not despite them. Our motto here at Extreme is ‘Advance with us’, and it applies to everyone we
work with – inside and outside the company.
Job Responsibilities:
▪ Define and govern API standards across REST/gRPC and event-driven interfaces, emphasizing
forward/backward compatibility, additive change safety, and clear deprecation policies.
▪ Design APIs that form the Core AI integration layer, delivering high-quality, machine-readable contracts,
consistent resource models, typed error codes, and agent/tool specifications suitable for function calling and
automation.
▪ Integrate Model Context Protocol (MCP) principles into API design to ensure seamless interoperability with
AI agents and orchestration frameworks. This includes defining tool schemas, context negotiation, and safe
execution boundaries for agent-driven workflows.
▪ Partner with AI/ML teams to optimize APIs for agentic workflows: streaming, pagination tokens, consistent
envelopes, explicit contracts for tool use, and predictable rate-limit headers for planner/runtime alignment.
▪ Champion Operational Excellence (OE) and Engineering Excellence (EE) for API lifecycle: design reviews,
contract/consumer-driven testing, schema evolution, semantic versioning, release notes, and automated
documentation/SDK generation.
▪ Advance resiliency patterns: idempotency, retries with jitter, circuit breakers, dynamic throttling for bursty
AI Workloads, timeouts, request hedging, long-running job orchestration, and zero-downtime deployments.
▪ Mentor engineers and set governance: reviews, linting rules, style guides, compliance, golden paths, and
reference implementations that promote repeatable excellence.
▪ Collaborate across product & platform teams to align API roadmaps with business outcomes, ensuring
compatibility across Extreme’s portfolio and partner ecosystems.
Basic Qualifications:
▪ BS in Computer Science or related field.
▪ 8+ years designing and building large-scale microservices and APIs; 3+ years driving API standards
or architecture across multiple teams.
▪ Deep expertise with REST/gRPC and OpenAPI 3.1 / JSON Schema / AsyncAPI, with proven ability to
design APIs that are forward/backward compatible and optimized for machine consumption.
▪ Hands-on experience implementing MCP-compliant APIs for AI orchestration, including tool schema
definition, context negotiation, and secure execution boundaries.
▪ Strong grasp of security for AI-integrated systems: fine-grained scopes, and safe execution
boundaries for agent-driven workflows.
▪ Hands-on experience with dynamic throttling, adaptive rate limiting, and quota enforcement to
support AI-driven bursty workloads and multi-agent orchestration.
▪ Experience with resilience patterns critical for AI orchestration: idempotency keys, retries with jitter,
circuit breakers, timeouts, and bulkheads for high-concurrency environments.
▪ Cloud-native delivery on AWS/Azure/GCP with container orchestration (Kubernetes), CI/CD
pipelines, and zero-downtime deployment strategies (blue/green, canary).
▪ Solid programming skills in Golang, Java or Python with ability to generate SDKs and developer
tooling for AI-friendly APIs.
▪ Excellent communication and cross-functional collaboration, capable of leading design reviews and
documenting standards that enable AI/agentic integration at scale.
Preferred Qualifications:
▪ MS or PhD in Computer Science or equivalent experience.
▪ Deep expertise in architecting distributed microservices and systems, either building them from the
ground up or significantly enhancing existing architectures to boost availability and performance.
▪ Knowledge of agentic platforms, RAG pipelines, vector stores, and data contracts for AI -driven workflows.
▪ Experience with API gateways and service meshes for policy enforcement and traffic shaping in AI -heavy
environments.
▪ Background in contract testing, fuzzing, chaos engineering, and performance benchmarking under AIscale
loads.
▪ Networking domain exposure and real-time systems optimized for AI inference loops.
▪ Awareness of data privacy/compliance for AI workloads (PII handling, retention, auditability) and multitenant
isolation strategies.
▪ Experience partnering with product and program management teams.
▪ Strong understanding and passion for ML and generative AI.
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!