DevOps Engineer, Jungle AI
Scalable AI technology for renewable energy sources
Job no longer available
Scalable AI technology for renewable energy sources
21-100 employees
Job no longer available
21-100 employees
Company mission
To predict component failure, and poor performance in an advanced asset management software.
Role
Who you are
- At least 3 years professional experience as a Linux sysadmin, wielding your shell as a weapon that imposes fear on GUI users
- Demonstrable experience (2+ years) in working in a DevOps position using code to build and maintain large, complex and scalable system infrastructures
- At least 2 years professional experience working with cloud service providers such as AWS, Azure or GCP
- Experience with designing, developing, implementing and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc)
- You have experience working with containerization frameworks and tools (Docker, Podman, rkt, etc)
- Proficiency in at least one scripting language (Python, Bash, Golang)
- (Preferred) You have hands-on experience with monitoring and logging systems (Prometheus, Grafana, Zabbix, Fluent-bit)
- (Preferred) You have professional experience in database administration (backups, restores, access rights) with either RDMBs (PostgreSQL, MySQL) or non-relational databases (Cassandra, MongoDB, Redis)
- (Preferred) Your knowledge of networking goes beyond the basics, understanding routing, proxies, VPNs, NAT, TLS/SSL, service meshes and other more complex networking concepts
- (Preferred) You have experience with configuration management tools like Ansible, Chef, Puppet, Saltstack, or similar
- (Bonus) Knowledge in working with RESTful APIs, stream-based and general service and event/message-queue oriented architectures
- (Bonus) You have experience with Kubernetes (EKS, GKE, AKS)
- (Bonus) You have experience using Terraform
- (Bonus) You have experience with Proxmox
- (Bonus) You understand what is a Machine Learning model and have experience with MLOps
What the job involves
- You’ll be working with/on a set of technologies that support our complex Machine Learning pipeline system and improve usability, performance and robustness of our internal system
- Our current stack runs on Kubernetes on top of AWS and we need someone to help us integrate more and more functionality into our stack
- You’ll work together with the engineering team to maintain and improve existing systems, build new ones and overcome difficulties arising from scaling up our systems to more and more data. Some examples:
- Contribute to the improvement of the production infrastructure that is used to efficiently serve large amounts of data to our product and the development on-premises infrastructure where our services/models are built
- Help us improve our CI/CD pipelines for our tools and services
- Make use of modern open-source technologies to improve usability, performance and robustness of our tools and services
- Improve observability of our systems to make sure that they are running in perfect conditions; otherwise notify the team as early as possible
- Make architectural decisions on how to solve our engineering challenges and keep us future proof
Our take
With the accelerated use of renewable energy technology comes the heightened need to keep on top of the requirements of its software and hardware. As demand soars worldwide, Jungle AI is creating machine learning and artificial intelligence tools that improve the performance and maintenance of sustainable energy tech.
Jungle AI doesn’t work from scratch though - it leverages technology that is already available. Its software is built upon the data streams and sensors that are already being used in solar and wind energy and optimises their performance. Leveraging the data streams from renewable energy hardware, it seeks out opportunities to improve output and informs users on what areas to prioritise at any given moment.
Rounding up 2022 with Series A funding, Jungle AI is using 2023 to hire new employees and scale up its customer base. With the tech currently focused on managing renewable energy assets, it’s clear that Jungle AI’s services can be implemented across a wide range of other industries as well.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Sep 2022
$5.8m
SERIES A
May 2021
$1.2m
SEED
Total funding: $7m
Company HQ
Lisbon, Lisbon
Leadership
Sílvio Rodrigues
(Chief Innovation Officer)Previously PhD Graduate Student at the Delft University of Technology.
Alexander Helmer
(CTO)Previously Algorithms Engineer Intern at Google, Co-owner at Haalbeeld Fotografie, Member of Board of Studies at TU Delft.
Share this job