Agilent Technologies

R&D Software Architect

Agilent Technologies

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Salary

💰 $153,823 - $240,349 per year

Job Level

About the role

  • Define and evolve software architecture for large‑scale SaaS, analytics, and monitoring platforms.
  • Translate product and business concepts into feasible technical solutions through requirements, architecture design, and proof‑of‑concepts.
  • Partner with product, marketing, engineering, and leadership to align solutions with business goals.
  • Architect event‑driven, data‑centric, and enterprise‑integrated systems.
  • Evaluate emerging technologies, including AI‑enabled capabilities, and guide technical adoption.
  • Provide architectural guidance, documentation, and technical direction to development teams.
  • Clearly communicate architectural concepts to technical and non‑technical stakeholders.
  • Ensure solutions are scalable, performant, maintainable, and meet regulatory requirements (ISO, GDPR, EU CRA, etc) and follow best practices in cybersecurity.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
  • 8+ years of professional software development experience, including senior or architectural responsibilities.
  • Hands‑on software development background with the ability to guide engineering teams.
  • Experience designing enterprise or B2B cloud platforms, including SaaS, data/analytics, or monitoring systems.
  • Strong understanding of data-centric architectures, including batch/streaming pipelines, data models, and integration patterns.
  • Strong knowledge of cloud-native architectures, microservices, APIs, web app frameworks, containerization, and DevOps practices.
  • Excellent communication and stakeholder engagement skills with both technical and non-technical groups.
  • Preferred Experience
  • Experience in life sciences, laboratory informatics, scientific instruments or other regulated enterprise environments.
  • Designing analytics or data platforms, including lakehouse architectures, real-time streaming, metadata management, or monitoring/observability systems.
  • Familiarity with AI/ML concepts, MLOps processes, data governance, and model lifecycle considerations.
  • Experience with IoT/edge architectures, telemetry ingestion, digital twins, or instrument fleet management.
  • Experience with agile development methodologies and distributed team collaboration.
Benefits
  • eligibility for bonus
  • stock
  • benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
software architectureSaaSanalyticsmonitoring platformsdata-centric architecturescloud-native architecturesmicroservicesAPIsDevOps practicesbatch/streaming pipelines
Soft Skills
communication skillsstakeholder engagementleadershipcollaborationtechnical guidanceproblem-solvingdocumentationconcept translationteam guidanceorganizational skills
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Software Engineering