Manager, DevOps Enterprise Architect

Amyris, Inc.•Emeryville, CA

3d•$157,000 - $208,000•Remote

About The Position

The Manager, Enterprise DevOps Architect is a senior technical and team leader responsible for Amyris’s hybrid infrastructure and the CI/CD and DevOps practices that support it. The role connects the company’s cloud-forward Google Cloud Platform environment with its on-premises IT estate, defining standards, automation practices, and integration patterns so both environments work as a coherent platform. It combines hands-on architecture and execution with team leadership, split evenly between the two (50-50%). The role owns infrastructure and DevOps strategy and represents technology to Computing teams—Data Science, Software Engineering, and Data Engineering—as well as stakeholders in Business Development, R&D, and Manufacturing. The position works across infrastructure, networking, identity, security, databases, and DevOps. It turns ambiguous requirements into automated, documented solutions and maintains regular working-hour overlap with the United States Pacific region and Brazil. The role is remote within the United States. Candidates near Emeryville, California, who can work hybrid are preferred but not required; remote employees should be available for occasional travel to Emeryville. Amyris is an integrated synthetic biology company that applies fermentation science to develop sustainable ingredients and products. Its technology platform includes Google Cloud Platform and on-premises infrastructure supporting laboratories, manufacturing, and a global workforce across the United States and Brazil.

Requirements

Bachelor’s degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience.
10+ years in enterprise IT, infrastructure, or platform engineering, including 5+ years of hands-on DevOps, platform, or site reliability engineering, 3+ years designing enterprise or infrastructure architecture, and 3+ years directly managing technical teams.
Track record of leading complex, cross-team initiatives; experience managing teams distributed across multiple countries or time zones is ideally suited.
Demonstrated experience operating in hybrid organizations with significant on-premises infrastructure and bridging cloud and on-premises environments, including data center consolidation, cloud migration, and cloud-native design.
Expert hands-on DevOps skills in CI/CD design and administration (GitLab CI/CD or equivalent), infrastructure-as-code and configuration management (Terraform preferred; Ansible), Docker, Kubernetes/GKE with GitOps deployment (e.g., Argo CD), and Python/Bash scripting.
Strong hands-on experience with Google Cloud Platform, including Compute Engine, GKE, Cloud SQL, IAM, VPC networking, and Cloud Monitoring, and observability tooling such as Prometheus, Grafana, or equivalent.
Enterprise architecture grounding across on-premises and cloud environments, including Linux and Windows servers, virtualization (e.g., VMware vSphere), networking, and identity/access management.
Working knowledge of PostgreSQL, SQL Server, and BigQuery sufficient to support platform, replication, and migration work.
Security-minded engineering experience with secrets management, least-privilege IAM, vulnerability and patch management, and compliance auditing.
Strong ownership and communication skills, including driving multiple initiatives with minimal direction, building relationships with business users and developers, translating technical trade-offs for non-technical stakeholders, and coaching engineers on safe, effective AI adoption.
Fluency in written and spoken English.

Nice To Haves

Relevant cloud certifications, such as Google Professional Cloud Architect or Cloud DevOps Engineer.
Exposure to AWS or Azure.
Experience with hybrid networking and identity federation between on-premises and cloud environments (e.g., Microsoft Entra ID with Google Cloud).
Experience operating AI/ML services and agentic tooling in an enterprise setting, such as Vertex AI, managed model endpoints, and MCP servers, including least-privilege access, audit logging, and data-handling controls.
Exposure to data platform tooling (Airflow/Cloud Composer, dbt, Datastream) and 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.

Responsibilities

Architect and document hybrid infrastructure spanning GCP 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 GCP landing zones, migration patterns, and cloud-native design standards, partnering with IT Infrastructure and Operations on networking, identity, and security integration.
Own GCP 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 CI/CD 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 AI capabilities and 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 MSP engineers assigned to platform work, establishing service expectations, handoffs, and on-call arrangements with IT Infrastructure and Operations, which retains ownership of MSP relationships and contracts.