Premier Laboratory Partner for a Better World

R&D Software Architect

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 10,001+Since 1999H1B SponsorCompany Site LinkedIn

Location

California

Posted

41 days ago

Salary

$153.8K - $240.3K / year

Bachelor Degree8 yrs expEnglishCloudCyber SecurityIo TMicroservices

Job Description

• 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.