Publicado hace más de 30 días.
System Developer DevOps Python Senior - Remoto en Coderland By Dominion
$ 3,750 a 3,999 USD (Neto)
Remoto: LATAM
Empleado de tiempo completo
Inglés : Nivel Avanzado
Welcome to Coderland! where developers thrive! We're the dynamic software development and consulting arm of Dominion Global. With a robust team of over 10,000 experts, we've been instrumental in delivering top-notch services and contributing to impactful global projects across 35 countries, serving over 1,000 clients.
So, why join us? Well, being part of our team comes with a myriad of benefits. Let's explore how your journey with us can elevate your career in IT.
- CONTRACT MODALITY
- 100% remote works
- Top rated companies
- Flex time
- Competitive salaries
- Long-term projects
- Permanent training: English classes, certifications, etc
- You'll work with trending technologies and multicultural teams
- We can pay in USD, through a local bank account in any country (LATAM or US) or Payoneer
- Co-living houses in some strategic countries just for our team
What do you need?
- Experience managing of high tier / mission critical platforms 7x24
- Experience with Python, GitHub, Jenkins
- Experience with containerization, docker, Kubernetes.
- Experience with AWS foundational services (EC2, IAM, AIM, Storage, SNS/SQS)
Desired:
- Background in data stores / databases, data transformations
- Background in Machine learning environment (Notebooks, Frameworks like Tensorflow/pytorch and libraries like pandas, numpy, etc.)
- Experience with Kafka
- Experience with Spark and spark streaming
- Experience with Terraform
- Experience with Ansible
1. Experience w/ running high-tier production applications. Helping custom users in their journey
2. Some development background (doesn't need to be an in depth FS dev) | Working with Python, tools that are on python, jenkins, github | Having that background is very important
3. Ability to work independently and collaborate cross-functionally w/ customers | Will need to help customers onboard to the platforms - good communication skills are imp.
What are the differentiators?
-Background w/ Machine Learning (doesn't need to be a data science but has experience w/ Jupiter, and code that data scientists write in - and the libraries)
- Experience w/ AWS
- Experience w/ Containers (specifically Docker)
- Data Transformation - Spark, Streaming transformations (thats where they get the input for the models)