Senior Cloud Engineer

SmartRecruiters, Inc.; Durham (NC); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental & vision

401k with match

Paid time off

Wellness programs

Job summary

Syngenta is seeking a Senior Cloud Engineer / Technical Lead in Durham, NC to design and deliver secure, scalable cloud platforms across AWS and hybrid environments. You will lead automation, enable data workloads with Snowflake, and improve observability and reliability using Datadog.

Ideal candidates have 4–6+ years of relevant experience, strong Python, and proven ability to drive technical workstreams with senior stakeholders while supporting laboratory modernization initiatives.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 5+ years in cloud engineering / DevOps / platform engineering.
• Advanced hands-on AWS and Terraform Cloud.
• Advanced Python coding.
• Experience with Snowflake, Datadog, hybrid infrastructure.
• Strong cloud networking, IAM, security, and databases.
• Experience leading technical workstreams and communicating with senior stakeholders.

Responsibilities

• Design, engineer, and support secure, resilient, scalable AWS and hybrid infrastructure solutions.
• Lead infrastructure automation through Terraform Cloud and CI/CD integration.
• Enable Snowflake workloads with networking, data movement, monitoring, and governance.
• Establish observability and reliability using Datadog and AWS monitoring.
• Deliver HPC, AI/ML, and research computing solutions (SageMaker, AWS ParallelCluster).
• Lead laboratory modernization through cloud, network, and storage designs.
• Provide technical leadership through reviews, mentoring, and incident resolution.
• Partner with cross-functional teams to communicate recommendations and drive standards adoption.

Skills

AWS & Terraform

Python programming

Cloud leadership

Snowflake & Datadog

Hybrid infra experience

Networking & security

Education

Bachelor's degree or equivalent

Tools

AWS

Terraform Cloud

Snowflake

Datadog

SageMaker

Slurm

Fsx

Kubernetes

Job description

At Syngenta Seeds Field Crops, we’re shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

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.

Qualifications

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

Additional Information

• 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.