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Amyris

Produces bio-based cosmetic and flavor ingredients

Enterprise DevOps Architect Manager

Cloud Engineering +1Posted on Nov 9
Full-time$157k - $208kRemote

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience; relevant cloud certifications such as Google Professional Cloud Architect or Cloud DevOps Engineer are a plus.
  • At least 10 years in enterprise IT, infrastructure, or platform engineering, including 5 or more years of hands-on DevOps, platform, or site reliability engineering; 3 or more years designing enterprise or infrastructure architecture; and 3 or more years directly managing technical teams, ideally distributed across multiple countries or time zones; and experience leading complex, cross-team initiatives.
  • Experience operating in hybrid organizations with cloud-forward and significant on-premises infrastructure, bridging the two through data center consolidation, cloud migration, and cloud-native design.
  • Hands-on DevOps expertise in continuous integration and continuous delivery design and administration (GitLab CI/CD or equivalent), infrastructure as code and configuration management (Terraform preferred; Ansible), Docker, Kubernetes or Google Kubernetes Engine with GitOps deployment (such as Argo CD), and Python or Bash scripting.
  • Hands-on Google Cloud Platform experience with Compute Engine, Google Kubernetes Engine, Cloud SQL, Identity and Access Management, Virtual Private Cloud networking, and Cloud Monitoring, as well as observability tools such as Prometheus and Grafana or equivalent; exposure to Amazon Web Services or Microsoft Azure is valuable.
  • Enterprise architecture experience across on-premises and cloud environments, including Linux and Windows servers, virtualization such as VMware vSphere, networking, and identity and access management.
  • Working knowledge of PostgreSQL, SQL Server, and BigQuery sufficient to support platform, replication, and migration work.
  • Security-minded engineering experience, including secrets management, least-privilege Identity and Access Management, vulnerability and patch management, and compliance auditing.
  • Ability to drive multiple initiatives with minimal direction, build relationships with business users and developers, translate technical trade-offs for non-technical stakeholders, and coach engineers on safe and effective artificial intelligence adoption.
  • Fluency in written and spoken English.

Responsibilities

  • Architect and document hybrid infrastructure spanning Google Cloud Platform and on-premises environments across US and Brazil sites.
  • Lead data-center right-sizing and workload-placement decisions based on lab and business needs, including reliability, latency, hardware dependencies, cost, and operational requirements.
  • Define Google Cloud Platform landing zones, migration patterns, and cloud-native design standards, partnering with IT Infrastructure and Operations on networking, identity, and security integration.
  • Own ongoing Google Cloud Platform cost visibility, forecasting, and optimization with workload owners, balancing savings against performance, reliability, and business requirements.
  • Establish delivery-performance baselines and improvement targets with Software Engineering, tracking deployment frequency, change lead time, change failure rate, and recovery time following failed deployments.
  • Partner with Software Engineering, Data Engineering, and Data Science to provide reusable templates, self-service environments, and documented deployment workflows that reduce friction and manual handoffs.
  • Build and maintain continuous integration and continuous delivery pipelines and release automation across cloud and on-premises environments, including modernization of legacy pipelines.
  • Establish infrastructure-as-code and version-controlled configuration to manage desired infrastructure state and automate routine operations.
  • Define container platform and GitOps standards, and evaluate and adopt emerging platform, cloud, and artificial intelligence capabilities, including supporting services and controls, where they improve engineering or operational outcomes.
  • Define service-level objectives with application owners and lab and business stakeholders, supported by observability and alerting that measure service health and enable timely response.
  • Establish high-availability, disaster-recovery, and incident-management practices aligned with IT Infrastructure and Operations; use incident reviews to reduce recurring failures and operational cost.
  • Partner with the Cybersecurity Lead to harden infrastructure against relevant benchmarks and automate security controls, including certificate and secret lifecycle management.
  • Maintain architecture decisions, standards, runbooks, and operational documentation that support consistent delivery and reliable operations.
  • Own infrastructure and DevOps strategy and a capacity-based roadmap, translating business priorities and operational demands into clear team commitments.
  • Hire, lead, and develop DevOps and platform engineers across the US and Brazil, setting expectations and providing hands-on technical guidance.
  • Serve as the technical authority and escalation point for DevOps and hybrid-infrastructure architecture decisions.
  • Coordinate distributed-team coverage and direct managed service provider engineers assigned to platform work, establishing service expectations, handoffs, and on-call arrangements with IT Infrastructure and Operations, which retains ownership of managed service provider relationships and contracts.

Desired Qualifications

  • Relevant cloud certifications such as Google Professional Cloud Architect or Cloud DevOps Engineer.
  • Terraform experience is preferred.
  • Exposure to Amazon Web Services or Microsoft Azure.
  • Experience with hybrid networking and identity federation between on-premises and cloud environments, such as Microsoft Entra ID with Google Cloud.
  • Experience operating artificial intelligence and machine-learning services and agentic tooling in an enterprise setting, such as Vertex AI or managed model endpoints and Model Context Protocol servers, including least-privilege access, audit logging, and data-handling controls.
  • Exposure to data platform tooling such as Airflow or Cloud Composer, dbt, and Datastream, and experience supporting data engineering teams.
  • Experience directing managed service providers in a co-managed operations model, including service levels and multi-time-zone coverage.
  • Experience in science, laboratory, or manufacturing environments where IT supports regulated or production-critical operations.

About the Company

Amyris

Produces bio-based cosmetic and flavor ingredients

Amyris uses its Lab-to-Market fermentation platform to turn plant sugars, mainly from sugarcane, into a wide range of molecules using engineered microorganisms such as yeast. Its products include sustainable ingredients like squalane and hemisqualane for cosmetics, as well as other molecules used in flavors, fragrances, nutraceuticals, and pharmaceuticals. The platform lets Amyris supply B2B ingredients to large companies and had previously managed consumer brands directly, but has since refocused on R&D and commercialization of bio-manufactured ingredients. The company aims to provide scalable, plant-derived ingredients that reduce reliance on fossil resources across multiple markets.

Company size
501-1,000
Company stage
IPO
Headquarters
Emeryville, CA
Founded
2003

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