Lead Integration Architect

Agilent
Lleida (Lérida), Spain
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Computing Platforms Cloud Computing Message Queuing Telemetry Transport (MQTT) Message Oriented Middleware Software Engineering Management of Software Versions Cloud Platform System Istio Technical Debt
+10 more
Event Driven Architecture Containerization Kubernetes Apache Kafka Graphql Api Design Api Gateway Data Pipelines Devsecops Docker

Job description

Job DescriptionAgilent Technologies is connecting a diverse portfolio of instruments, applications, and platform services into a unified software ecosystem. The Lead Integration Architect is a senior individual contributor role responsible for defining and operationalizing the integration architecture standards and reference patterns that enable interoperability across Agilent’s software platform and partner divisions.This role owns integration architecture at the standards and governance level, establishing API design patterns, event-driven architecture standards, schema governance, and versioning frameworks that product teams adopt across the portfolio. You are a hands?on technical leader who bridges strategy and execution: defining the patterns, reviewing critical designs, and actively influencing teams to adopt consistent, scalable integration approaches.ResponsibilitiesDesign and own integration architecture solutions across the software platform, instruments, applications, and enterprise systemsDefine integration standards and reference architectures: API design, event-driven patterns, schema governance, and versioning, and validate their implementation in practiceArchitect and hands?on guide containerized integration solutions using Kubernetes, ensuring platform?grade reliability, scalability, and operabilityReview and approve critical integration designs across product teams, making binding architecture decisions where standards are at stakeBuild and maintain a library of reusable integration patterns and reference implementations, working code and blueprints, not just documentationPartner across divisions as the go?to integration authority, solving complex cross?system and cross?organizational architecture problems directlyDefine integration contracts between platform services, instruments, and enterprise systems, owning technical quality of those interfacesIdentify and actively remediate integration patterns that introduce technical debt, bypass governance, or create cross?team coupling risksQualificationsRequired10+ years of software engineering or architecture experience, with 5+ years in hands?on integration architecture rolesDeep practical expertise across the full integration stack: REST/GraphQL API design, event-driven architecture (Kafka, MQTT, or equivalent), asynchronous messaging, and schema governanceStrong hands?on experience with Kubernetes, deploying, operating, and architecting containerized workloads at platform scaleExperience with Docker and cloud?native deployment patterns across edge and cloud environmentsDemonstrated track record of delivering integration solutions, not just defining patterns but owning their design and technical quality through implementationExperience setting and enforcing API versioning, schema management, and contract?based integration standardsAbility to make and defend binding architecture decisions across teams with competing prioritiesPreferredExperience in scientific instrumentation, laboratory software, or regulated industries (life sciences, diagnostics)Familiarity with service mesh, API gateway, and platform?level integration infrastructureExperience integrating AI/ML inference services and data pipelines through governed integration patternsBackground working across organizational boundaries, integrating systems owned by separate divisions or external partnersExposure to GitOps, infrastructure?as?code, and DevSecOps practices in a platform engineering contextAdditional DetailsThis job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job?related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at:Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required25% of the TimeShiftDayDurationNo End DateJob FunctionR&D#J-*****-Ljbffr

Requirements

Required 10+ years of software engineering or architecture experience, with 5+ years in hands?on integration architecture roles Deep practical expertise across the full integration stack: REST/GraphQL API design, event-driven architecture (Kafka, MQTT, or equivalent), asynchronous messaging, and schema governance Strong hands?on experience with Kubernetes, deploying, operating, and architecting containerized workloads at platform scale Experience with Docker and cloud?native deployment patterns across edge and cloud environments Demonstrated track record of delivering integration solutions, not just defining patterns but owning their design and technical quality through implementation Experience setting and enforcing API versioning, schema management, and contract?based integration standards Ability to make and defend binding architecture decisions across teams with competing priorities Preferred Experience in scientific instrumentation, laboratory software, or regulated industries (life sciences, diagnostics) Familiarity with service mesh, API gateway, and platform?level integration infrastructure Experience integrating AI/ML inference services and data pipelines through governed integration patterns Background working across organizational boundaries, integrating systems owned by separate divisions or external partners Exposure to GitOps, infrastructure?as?code, and DevSecOps practices in a platform engineering context Additional Details This job has a full time weekly schedule. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job?related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at

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