Source.ag is on a mission to produce more fresh fruits and vegetables for more people, through A.I. powered greenhouses.
We are making greenhouses more scalable by developing the world’s most advanced artificial grower. Our software and AI models help growers to define optimal seasonal crop plans and provide greenhouse autopilot functionality to ensure flawless daily growing operations.
You'll partner with our VP of Engineering to set up a robust, secure, and scalable cloud environment on AWS, and help Software Engineers and Data Scientists to deploy their applications and models to the cloud in a repeatable, scalable and secure way.
You will set up and manage server and network resources on our cloud infrastructure using infrastructure-as-code best practices. You will help us tackle the difficulties of integrating on-premise hardware in greenhouses with our cloud infrastructure. You are responsible for making technical choices and managing our amazing platform on AWS. This includes designing, implementing, and improving our cloud infrastructure and CI/CD pipelines.
You will safeguard our cloud infrastructure and make sure best practices are followed by the teams while avoiding red tape and enabling those teams to be productive.
Additional responsibilities are:
Picking up independent operations
Designing and maintaining access management policies using IAM
Implementing automated monitoring and alerting, both on infrastructure and application level
Maintaining and monitoring installed systems and infrastructure
Installation, configuration, testing, and maintaining operating systems, application software, and system management tools
Driving firm initiatives with AWS cloud platform both as a person well as in team settings with internal and external partners
Maintaining security, backup, and redundancy strategies
Communicate with users and developers in problem assessment and troubleshooting
Bachelor's degree in computer science, software engineering, or a related discipline
4+ years working as (AWS) Cloud Engineer/Administrator, Systems Administrator, or similar role in an Agile working setup
Experience with AWS (minimum of two years), Docker, Terraform, and Cloud Formation. Experience with CDK a strong pro
Experience with setting up proper access management policies using IAM or equivalent
Knowledge of DHCP, DNS, load balancing, and other basic networking concepts
Experience with scripting languages like Bash and Python
Experience with running Serverless and Containerized workloads (e.g. AWS Lambda & AWS ECS)
Experience building CI/CD pipelines. Experience with Github Actions as a pro
Takes satisfaction in getting your ideas into production
Able to balance best practices and security considerations with pragmatism and getting-things-done
Strong problem-solving skills
- Experience with bringing (data science and/or operations research) models to production and supporting data scientists in industrializing their code
Experience in coaching and knowledge sharing to familiarize teams with cloud (AWS) best practices
If we can invite you for a game of Padel (yes, there is a Padel court in our building)