Lead Test Framework Architect (M/F/D)

Posted Yesterday
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4 Locations
In-Office or Remote
Expert/Leader
Biotech
The Role
Senior individual contributor who designs and delivers test architecture, reusable automation framework patterns, and Kubernetes-based test environments. Owns CI/CD quality gate integration, contract testing, test data strategy, and E2E frameworks to ensure scalable, reliable testing across a containerized microservices platform while driving adoption across product teams.
Summary Generated by Built In
Job Description

Agilent Technologies is building a Kubernetes-based software platform that spans instruments, applications, and shared services across multiple product lines. The Lead Test Framework Architect is a senior individual contributor role responsible for defining and delivering the test architecture, automation framework patterns, and test environment strategy that enable the platform to scale with quality built in.
This is a hands-on technical role. You will design the test frameworks, define testability standards, and architect the environments and pipelines that make quality a first-class property of how we build software. The platform is containerized, distributed, and evolving fast, we need someone who can design for that reality, not adapt legacy QA thinking to it.

Responsibilities:

  • Define and own PSD-wide test architecture standards and reusable automation framework patterns applicable across a Kubernetes-based, microservices platform
  • Architect testability-by-design principles, defining how services, APIs, and platform components must be built to be reliably and efficiently testable
  • Design test environment strategy using Kubernetes: ephemeral environments, namespace isolation, container-based environment provisioning, and environment-as-code patterns
  • Define and deliver CI/CD quality gate architecture, integrating test automation at the right levels of the pipeline (unit, contract, integration, E2E, performance)
  • Establish contract testing patterns for microservices and APIs, ensuring inter-service compatibility is validated continuously and not just at integration
  • Define test data strategy for distributed, instrument-connected workflows, including synthetic data, data isolation, and AI/ML test data requirements
  • Design E2E test automation frameworks that work reliably across containerized, multi-service environments at platform scale
  • Partner with Test and Engineering leadership to drive adoption of framework patterns across product teams, delivering reference implementations, not just guidelines
  • Identify and remediate test architecture gaps that create fragile pipelines, slow feedback loops, or undetected regressions in platform changes
Qualifications

Required:

  • 10+ years of software engineering experience, with 3+ years in test architecture or quality engineering architecture roles
  • Deep hands-on expertise with Kubernetes, designing test environments, ephemeral namespace provisioning, and container-based test infrastructure
  • Strong experience designing multi-level test automation frameworks: unit, contract, integration, E2E, and performance testing in distributed systems
  • Practical knowledge of CI/CD pipeline architecture and quality gate integration (Jenkins, GitHub Actions, or equivalent)
  • Experience with contract testing approaches (e.g., Pact or consumer-driven contract testing) for microservices and API-first architectures
  • Demonstrated ability to define and deliver reusable test frameworks adopted across multiple product teams
  • Solid understanding of testability-by-design — able to influence how software is architected to make it inherently more testable

Preferred:

  • Experience testing scientific instrument software, laboratory platforms, or regulated industries (life sciences, diagnostics, GxP environments)
  • Familiarity with performance and load testing frameworks at platform scale (k6, Gatling, Locust, or equivalent)
  • Experience with test data management strategies for distributed, event-driven, or AI/ML workloads
  • Background in infrastructure-as-code and GitOps practices applied to test environment provisioning
  • Exposure to AI/ML model testing — validation, regression, and data quality assurance for AI-enabled platform features
  • Experience with observability tooling (tracing, logging, metrics) as part of test strategy in containerized environments

We offer (depending on the country you are based in):

  • An independent job in collaboration with good colleagues, in a growth-orientated organization
  • A true commitment to work/life balance
  • An opportunity to learn and grow
  • Agilent Result Bonus, Stock Purchase Plan, Life Insurance, Pension, Healthcare, Employee Assistance Program, Holiday, Company activities

We offer (depending on the country you are based in):

  • An independent job in collaboration with good colleagues, in a growth-orientated organization
  • A true commitment to work/life balance
  • An opportunity to learn and grow
  • Agilent Result Bonus, Stock Purchase Plan, Life Insurance, Pension, Healthcare, Employee Assistance Program, Holiday, Company activities

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: https://careers.agilent.com/locations

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 Required: 25% of the TimeShift: DayDuration: No End DateJob Function: R&D

Skills Required

  • 10+ years of software engineering experience, with 3+ years in test architecture or quality engineering architecture roles
  • Deep hands-on expertise with Kubernetes, ephemeral namespace provisioning, and container-based test infrastructure
  • Strong experience designing multi-level test automation frameworks: unit, contract, integration, E2E, and performance testing in distributed systems
  • Practical knowledge of CI/CD pipeline architecture and quality gate integration (Jenkins, GitHub Actions, or equivalent)
  • Experience with contract testing approaches (e.g., Pact or consumer-driven contract testing) for microservices and API-first architectures
  • Demonstrated ability to define and deliver reusable test frameworks adopted across multiple product teams
  • Solid understanding of testability-by-design and ability to influence software architecture for testability
  • Experience with performance and load testing frameworks at platform scale (k6, Gatling, Locust, or equivalent)
  • Familiarity with test data management strategies for distributed, event-driven, or AI/ML workloads
  • Background in infrastructure-as-code and GitOps practices applied to test environment provisioning
  • Exposure to AI/ML model testing and observability tooling (tracing, logging, metrics)

Agilent Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.

  • Retirement Support The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
  • Equity Value & Accessibility An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
  • Leave & Time Off Breadth Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.

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The Company
HQ: Santa Clara, CA
17,369 Employees
Year Founded: 1999

What We Do

Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.

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