Senior Cloud Engineer

Syngentagroup; Durham (NC); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Full benefits package

401(k) plan with company match

Paid vacation & holidays

Education assistance

Job summary

Syngenta in Durham, NC seeks a Senior Cloud Engineer / Technical Lead to drive secure, scalable cloud and data platforms, infrastructure automation, observability, HPC readiness, and laboratory modernization. You will design and deliver capabilities across AWS, Snowflake, Terraform Cloud, Datadog, SageMaker, AWS ParallelCluster, and hybrid infrastructure with senior-level autonomy and strategic impact.

This role emphasizes leadership, collaboration with cross-functional teams, and ongoing

Qualifications

• Bachelor's degree or equivalent experience in a technical discipline.
• 5+ years of relevant technical experience in cloud engineering, infrastructure engineering, DevOps, platform engineering, or a related field.
• Advanced hands-on AWS and Terraform Cloud engineering experience.
• Advanced hands-on Python coding experience.
• Experience supporting Snowflake, Datadog, hybrid infrastructure, and container platforms.
• Strong knowledge of cloud networking, IAM, security, storage, databases, and operational resilience.
• Demonstrated ability to lead technical workstreams, troubleshoot complex problems, and communicate effectively with senior stakeholders.

Responsibilities

• Cloud & Hybrid Infrastructure: Design, engineer, and support secure, resilient, and scalable AWS and hybrid-infrastructure solutions across compute, storage, networking, identity, security, databases, and container platforms.
• Infrastructure Automation: Lead automation through Terraform Cloud, including reusable modules, workspace patterns, policy controls, CI/CD integration, and migration from manual environments.
• Data Platform Enablement: Enable Snowflake workloads by designing integrations for networking, identity, data movement, monitoring, governance, and operational readiness.
• Observability & Reliability: Establish observability and reliability practices using Datadog and AWS monitoring, including dashboards, indicators, alerting, logging, and incident improvements.
• HPC, AI/ML & Research Computing: Deliver solutions for HPC, AI/ML, and research computing including AWS ParallelCluster, Slurm, FSx, SageMaker, pipelines, and scalable workloads.
• Laboratory Modernization: Lead workstreams translating lab device/workflow needs into secure cloud, network, storage, security designs.
• Technical Leadership: Provide architecture reviews, mentoring, risk management, and cost-optimization opportunities.
• Cross-Functional Partnership: Collaborate with engineering, research, data, cybersecurity, lab, vendor, and leadership to drive standards and adoption.

Skills

AWS

Terraform Cloud

Python

Datadog

Snowflake

SageMaker

Hybrid infrastructure

Container platforms

Cloud networking

IAM & security

Observability

Leadership

Education

Bachelor's degree

Tools

Snowflake

Datadog

AWS

Terraform Cloud

SageMaker

AWS ParallelCluster

Slurm

Job description

We are seeking an innovative and highly motivated Senior Cloud Engineer / Technical Lead based in Durham, NC, to provide hands‑on engineering leadership across cloud platforms, data enablement, infrastructure automation, observability, high‑performance computing, and laboratory modernization.

In this role, you will design and deliver secure, scalable, and supportable capabilities across AWS, Snowflake, Terraform Cloud, Datadog, SageMaker, AWS ParallelCluster, and hybrid infrastructure.

This opportunity is ideal for a senior engineer with 4‑6+ years of relevant technical experience who can execute strategy autonomously, lead technical workstreams, solve complex problems, contribute to new solutions, and influence outcomes across A&DS / RDIT and at least one additional global or regional function.

Accountabilities

As the Senior Cloud Engineer / Technical Lead, you will:

• Cloud & Hybrid Infrastructure: Design, engineer, and support secure, resilient, and scalable AWS and hybrid‑infrastructure solutions across compute, storage, networking, identity, security, databases, and container platforms.
• Infrastructure Automation: Lead infrastructure automation through Terraform Cloud, including reusable modules, workspace patterns, policy controls, CI/CD integration, and migration from manually managed environments.
• Data Platform Enablement: Enable and support Snowflake workloads by designing integrations for networking, identity, data movement, monitoring, governance, and operational readiness.
• Observability & Reliability: Establish observability and reliability practices using Datadog and AWS monitoring, including dashboards, service indicators, alerting, logging, performance analysis, and incident‑response improvements.
• HPC, AI/ML & Research Computing: Deliver technical solutions for high‑performance computing, AI/ML, and research‑computing needs, including AWS ParallelCluster, Slurm, FSx, SageMaker, scientific pipelines, and scalable workload patterns.
• Laboratory Modernization : Lead technical workstreams supporting laboratory modernization by translating laboratory device and workflow needs into secure cloud, network, storage, security, and support designs.
• Technical Leadership: Provide technical leadership through architecture reviews, mentoring, design guidance, risk and dependency management, and resolution of complex incidents, reliability issues, and cost‑optimization opportunities.
• Cross‑Functional Partnership: Partner with engineering, research, data, cybersecurity, network, laboratory, vendor, and leadership stakeholders to communicate technical recommendations, drive adoption of standards, and deliver operationally supportable solutions.

Required

• Bachelor's degree or equivalent experience in a relevant technical discipline.
• 5+ years of relevant technical experience in cloud engineering, infrastructure engineering, DevOps, platform engineering, systems engineering, or a related technical field.
• Advanced hands‑on AWS and Terraform Cloud engineering experience.
• Advanced hands‑on Python coding experience.
• Experience supporting Snowflake, Datadog, hybrid infrastructure, and container platforms.
• Strong knowledge of cloud networking, IAM, security, storage, databases, and operational resilience.
• Demonstrated ability to lead technical workstreams, troubleshoot complex problems, and communicate effectively with senior stakeholders.

Preferred

• Experience with AWS ParallelCluster, Slurm, SageMaker, GPU workloads, or scientific computing.
• Experience in laboratory, research, life sciences, or high-volume data environments.
• Knowledge of FinOps, service management, disaster recovery, security governance, and vendor engagement.
• Experience with hybrid connectivity between on‑premises environments and AWS.
• Relevant AWS, HashiCorp, Snowflake, Datadog, Kubernetes, or Linux certification

Candidates must reside in and be permanently authorized to work in the United States.

What We Offer

A culture that celebrates belonging and collaboration, promotes professional development, and strives for a work‑life balance that supports the team members. Offers flexible work options to support your work and personal needs.

• Full Benefit Package (Medical, Dental & Vision) that starts on your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.