Agilent Technologies logo
Agilent Technologies

Premier Laboratory Partner for a Better World

R&D Software Architect

Full-stack EngineerSoftware EngineerOtherRemoteLeadTeam 10,001+Since 1999H1B SponsorCompany SiteLinkedIn

Location

California

Posted

127 days ago

Salary

$153.8K - $240.3K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishIoTMicroservices

Job Description

R&D Software Architect

Agilent Technologies

• 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.

Job 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

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