📋 Job Overview
At Amyris, we value that everyone’s career journey is unique and authentic to who they are. If this role excites you, we encourage you to apply and grow alongside us! You may be just the right candidate for this or other open roles.
About Amyris
Amyris is an integrated synthetic biology company applying breakthrough fermentation science to develop high-performance, sustainable ingredients and products. Our technology platform spans cloud-forward systems on Google Cloud Platform alongside on-premises infrastructure that supports our labs, manufacturing, and global workforce across the United States and Brazil. Our DevOps team helps make this cutting-edge science possible — and is looking for people who can connect the two worlds.
🏢 About Amyris
Amyris is an integrated synthetic biology company applying breakthrough fermentation science to develop high-performance, sustainable ingredients and products. Our technology platform spans cloud-forward systems on Google Cloud Platform alongside on-premises infrastructure that supports our labs, manufacturing, and global workforce across the United States and Brazil. Our DevOps team helps make this cutting-edge science possible — and is looking for people who can connect the two worlds.
🎯 The Role
The Manager, Enterprise DevOps Architect will serve as a senior technical and team leader for Amyris’s hybrid infrastructure and for the CI/CD and DevOps practices that deliver across them. This individual will bridge the gap between Amyris’s cloud-forward direction on Google Cloud Platform and its on-premises IT estate, defining the standards, automation practices, and integration patterns that allow both environments to operate as one coherent platform. The role combines hands-on architecture with team leadership, owning infrastructure and DevOps strategy and representing technology to Amyris’s Computing teams — Data Science, Software Engineering, and Data Engineering — and to stakeholders in Business Development, R&D, and Manufacturing. This is a technical and team lead role, split evenly between technical execution and team leadership (50-50%).
The ideal candidate is a hands-on DevOps leader (CI/CD, infrastructure-as-code, containerization, observability) with enterprise architecture experience across networking, identity, security, databases, and infrastructure. They turn ambiguous demands into well-defined, automated, and documented solutions. The role keeps regular overlap with both US Pacific and Brazil working hours.
✅ Key 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 ongoing 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 – 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 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.
📌 Required Qualifications
- Education: Bachelor’s degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience; relevant cloud certifications (e.g., Google Professional Cloud Architect or Cloud DevOps Engineer) are a plus.
- 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 (ideally distributed across multiple countries or time zones), with a track record of leading complex, cross-team initiatives.
- Demonstrated experience operating in hybrid organizations — cloud-forward with significant on-premises infrastructure — and bridging the gap between the two, including data center consolidation, cloud migration, and cloud-native design.
- Expert hands-on DevOps skills: CI/CD design and administration (GitLab CI/CD or equivalent), infrastructure-as-code and configuration management (Terraform preferred; Ansible), Docker and Kubernetes/GKE with GitOps deployment (e.g., Argo CD), and Python/Bash scripting.
- Strong hands-on experience with Google Cloud Platform (Compute Engine, GKE, Cloud SQL, IAM, VPC networking, Cloud Monitoring) and observability tooling (Prometheus, Grafana, or equivalent); exposure to AWS or Azure is valuable.
- Enterprise architecture grounding across on-premises and cloud: Linux and Windows servers, virtualization (e.g., VMware vSphere), networking, and identity/access management.
- Working knowledge of database platforms in use at Amyris (PostgreSQL, SQL Server, BigQuery) sufficient to support platform, replication, and migration work.
- Security-minded engineering: secrets management, least-privilege IAM, vulnerability and patch management, and compliance auditing.
- Strong ownership and communication: drives multiple initiatives with minimal direction, builds relationships with business users and developers, translates technical trade-offs for non-technical stakeholders, and coaches engineers on safe, effective AI adoption.
- Fluency in written and spoken English.
⭐ Desirable Experience
- Experience with hybrid networking and identity federation between on-prem 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 or managed model endpoints and MCP servers, including the least-privilege access, audit logging, and data-handling controls around them.
- Exposure to data platform tooling (Airflow/Cloud Composer, dbt, Datastream) and to 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.
🎁 Benefits
The salary range for this role is: $157,000 to $208,000.
Amyris is committed to fair and equitable compensation practices. Salary offers are made based on internal equity and market analysis, and will vary based on the candidate’s skills, depth of experience and specific work location.
Amyris is committed to providing a diverse array of inclusive benefits and perks to support employees and their families’ wellbeing including access to robust healthcare, mental wellness benefits, family leave, discounted fitness memberships, education reimbursement, flexible paid time off, 17 paid holidays, 10 paid sick days, and additional paid time off including 3 volunteer days, and bereavement.
🛂 Visa & Eligibility
Amyris is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Amyris complies with applicable state and local laws governing nondiscrimination in employment.
