Senior Software Engineer, Cloud Infrastructure
South San Francisco, CA
Software /
Full Time /
Hybrid
About Us
Agtonomy is pioneering advanced automation and AI solutions to transform agriculture and beyond. Initially focused on specialty crops, our TeleFarmer™ platform addresses labor-intensive needs with automation, turning conventional equipment into autonomous machines. By partnering with leading manufacturers like Doosan Bobcat, we integrate smart technology into tractors and other machinery, enhancing safety and efficiency. As we expand into ground maintenance and other industrial applications, our expert team continues to address key challenges with labor shortages, sustainability and profitability across various industries.
About the Role
Join our dynamic team as we push the boundaries of robotics and autonomy technology in Agriculture. As part of the Software Services Team, you will play a crucial role in building and scaling our cloud infrastructure to support APIs, data processing pipelines, & data storage systems. These systems enable reliable connectivity between fleets of vehicles, operators, & user applications to enable a seamless and easy to use experience in the management & execution of autonomous operations in agriculture.
What You'll Do
- Own the architecture & operations of our cloud infrastructure.
- Work with engineering teams to plan, implement, and deploy services at scale to support our growing fleet of vehicles, services and customers.
- Continuously evaluate and optimize the platform's architecture to meet evolving business needs and ensure high levels of scalability and security.
- Manage CI/CD pipelines to support developers to test & deploy various cloud software systems.
- Own and manage cloud infrastructure cost and capacity planning.
- Support vulnerability scanning, pen testing and incident response for all cloud services.
What You'll Bring
- 5+ years of experience building infrastructure for scalable web services.
- Experience with infrastructure as code (eg, Terraform, CDK, CloudFormation)
- Deep knowledge of the various service offerings from AWS, GCP, or Azure and understanding of which services are best suited for specific application needs.
- Experience with Node.js, Serverless services (eg, Lambda, Aurora, Fargate, API Gateway), MySQL/DynamoDB, Containerization (eg, Docker, Fargate, EKS).
- Experience with building data pipelines & workflow automations using Airflow, AWS Step Functions, or similar.
- A passion for learning. You fearlessly dive into new and unfamiliar technologies.
What Makes You a Strong Fit
- Experience building and operating observability stacks (eg, ELK, TICK, Prometheus)
- Deep knowledge of AWS services and best practices for various service needs.
- Experience with gRPC and Protobuf.
- Experience owning a highly available & scalable cloud infrastructure.
- Understanding of system security and data protection.
$160,000 - $190,000 a year
The US base salary range for this full-time position is $160,000 to $190,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
Benefits:
• 100% covered medical, dental, and vision for the employee (cost plus partner, children, or
family is additional)
• Commuter Benefits
• Flexible Spending Account (FSA)
• Life Insurance
• Short- and Long-Term Disability
• 401k Plan
• Stock Options
• Collaborative work environment working alongside passionate mission-driven folks!
Our interview process is generally conducted in five (5) phases:
1. Phone Screen with People Operations (30 minutes)
2. Video Interview with the Hiring Manager (45 minutes)
3. C++ Coding Challenge (1 hour with an Engineer)
4. Panel Interview (Video interviews scheduled with key stakeholders; each interview will be 30 to 45 minutes)
5. Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)
