Lead Integration Architect
Agilent Technologies2 months ago
Barcelona, SpainStaff+
Responsibilities
- Own integration architecture solutions and standards across software platforms, instruments, applications, and enterprise systems.
- Define and validate API design, event-driven architecture, schema governance, versioning, and integration contract standards.
- Architect and hands-on guide containerized integration solutions using Kubernetes across edge and cloud environments.
- Review and approve critical integration designs and make binding architecture decisions across product teams.
- Build reusable integration patterns and reference implementations, including working code and blueprints.
- Lead integrations involving connected instruments, laboratory systems, IoT devices, and edge computing environments.
- Partner across divisions and external boundaries to solve complex cross-system architecture problems.
- Identify and remediate technical debt, governance bypasses, and cross-team coupling risks in integration patterns.
Requirements
- 10+ years of software engineering or architecture experience, including 5+ years in hands-on integration architecture roles.
- Deep practical expertise in REST/GraphQL API design, event-driven architecture, asynchronous messaging, and schema governance.
- Strong hands-on experience deploying, operating, and architecting Kubernetes containerized workloads at platform scale.
- Experience with Docker and cloud-native deployment patterns across edge and cloud environments.
- Experience architecting integrations for connected devices, instruments, industrial equipment, IoT platforms, or similar hardware-centric ecosystems.
- Strong understanding of device connectivity, telemetry, edge computing, machine-to-cloud communication, and real-time data integration patterns.
- Track record of delivering integration solutions through implementation and owning their technical quality.
- 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 such as life sciences and diagnostics.
- Preferred: familiarity with service mesh, API gateway, and platform-level integration infrastructure.
- Preferred: experience integrating AI/ML inference services and data pipelines through governed integration patterns.
- Preferred: background working across organizational boundaries and integrating systems owned by separate divisions or external partners.
- Preferred: exposure to GitOps, infrastructure-as-code, and DevSecOps practices in a platform engineering context.
Benefits
- Full-time schedule with a day shift.
- Travel required 25% of the time.
- No end date specified for the position.
- Pay and benefit information varies by country and location; recruiters can provide specific pay-range details.
- Agilent Technologies is an equal opportunity employer.
Tech Stack
Categories
About Agilent Technologies
Agilent Technologies builds analytical instruments, lab software, diagnostic and genomics solutions, plus consumables and services used by pharmaceutical, chemical, environmental, and clinical labs. It sells systems such as chromatography and mass spectrometry platforms, pathology and molecular diagnostic kits, and supports lab operations through its CrossLab services business. Founded in 1999 and headquartered in Santa Clara, California, Agilent is a public company listed on the NYSE (ticker: A) with global manufacturing and R&D sites.