We are looking for people who are eager to learn new things and are bold enough to bring their ideas and energy into our process of creating innovative products for intelligent management of virtual power plants for the energy markets of the future.

You will have direct impact on managing power sources such as solar farms, small hydropower plants and battery storages in order to achieve effective, sustainable and green solution in the environment of energy market.

​

Benefits of working with us:

• Upmarket remuneration

• sensible work which makes impact on carbon emission reduction

• Option of working remotely or in our office

• Office with great terrace and city view, table football

• Option of working as employee or a contractor

• Autonomy in work

• Skilled and motivated colleagues - see

• Employee shares in the company

• Possibility to be part of research projects and increase your research impact

• Regular outing events (they are not compulsory)

• Possibility to travel to Africa (Rwanda, Kenya, RSA), USA, Europe  

How to apply:

• Send your application and CV to career@powerex.io

​

Open positions:

​

 

Software developer in R

​

What we expect of the candidate:

• Solid experience in software development - familiar with agile development, git, REST services, dev-ops concepts, delivering microservice as a product.

• Big R enthusiast (or at least willing to develop modern apps in R focused on AI/ML).

• Automation and development of ETL data pipelines.

• Critical thinking, strong problem solving skills and time management, eager to learn new things, we actively support open discussion about your own ideas.

• Working closely with data-scientists and developers that are using state-of-the-art methods/frameworks.

• Writing best possible software based on best-practice principles - clean code (KISS, DRY, etc.), testability, etc.

Nice to have:

• Experience with containerisation, Docker/ECS

• Experience with SQL-like and/or time-series databases (PostgreSQL, TImescaleDB,etc.)

• Experience with AWS

• Friend of Python/Java

Current tech stack for development:

You will work closely with data-scientists with this tech stack:

• We develop our ML models in R language and frameworks Keras, TF, xgboost, and many others.

• Create production ready APIs with plumber and as R packages.

• We do apps and dashboards with Shiny and Golem.

General backend stack:

• Monitoring of products/apps with Grafana, ELK stack, Prometheus, cloud watch.

• We host on AWS.

• We automatize our infrastructure using - Ansible, Terraform, Github actions.

• We test and review our code.

• Supporting tools - Jira, Slack, Confluence, Linux/Mac/Win friendly

​​

Data Scientist / ML/AI Researcher   

 

  Scope of work (ideas that we would like to elaborate):

• Own research about the state-of-the-art time series forecasting methods, mainly focused on deep learning.

• Integrate popular frameworks (and NN architectures) into R world - keras, torch, gluonTS, etc.

• Automatic ML model quality assessment and continuous monitoring in production with online/batch learning, A/B testing of potential models.

• Optimisations in stochastic environment, reinforcement learning and biologically inspired algorithms.

• Automation of feature selection/hyperparameter tuning and other Data-Science tasks.

What we expect of the candidate:

• R / Python

• Strong knowledge of Deep learning frameworks (Keras / TensorFlow / PyTorch)

• Developing/Deploying forecasting/regression/classification models

• Theoretical knowledge about ANN

• Critical thinking, strong problem solving skills and time management, eager to learn new things, we actively support open discussion about your own ideas.

• Nice to have:

• Computer science / mathematical / statistical education of 2nd or 3rd grade

• Software development experience, clean code, KISS, DRY and other best-practise approaches

Current tech stack for development

Data-scientists tech stack:

• We develop our ML models in R language and frameworks Keras, TF, xgboost, and many others.

• Create production ready APIs with plumber and as R packages.

• We do apps and dashboards with Shiny and Golem.

• General backend stack:

• Monitoring of products/apps with Grafana, ELK stack, Prometheus, CloudWatch.

• We host on AWS.

• We automatize our infrastructure using - Ansible, Terraform, GitHub actions.

• We test and review our code.

• Supporting tools - Jira, Slack, Confluence, Linux/Mac/Win friendly.

​

DEV-OPS Engineer

 

MUST HAVE

•  Operating and maintaining GNU/Linux Based VMs

•  Terminal & Python/Bash scripts are not your unfriendly territory

•  Experience with Docker container technology

• Creating and maintaining Docker containers

• Deploying containers to VMs/Orchestration Platform

• Knowledge of various data formats JSON, XML, YAML

• Understanding CI/CD concepts and experience with CI/CD pipelines

• Enthusiasm to learn new technologies and evaluate new design concepts

• Ability to work independently, problem-solving, and team player approach to solving problems

NICE TO HAVE 

•  Experience with Terraform automation

•  Experience with Ansible automation and playbooks

•  Experience with AWS

•  Experience ML-Ops

•  Networking stack knowledge

•  Firewall

•  Routing, NAT

•  Load balancers/Failovers

•  Security domain knowledge

•  CIA Triad: Confidentiality, Integrity, Availability

•   X.509 Certificates

•   SSH/PGP

•   Basic Auth/OAuth/SSO SAML

•   CIA Triad: Confidentiality, Integrity, Availability

​

Software Developer

​

• Backend is based mostly on - Java 16, SpringBoot 2, Gradle , Maven, Docker

• Frontend is based mostly on - Vue.Js, Webpack, Vuetify

• We host on AWS

• We automatize our infrastructure using - Ansible , Terraform, Github actions

• We test and review our code

• Supporting tools - Jira, Slack, Confluence, Linux/Mac/Win friendly

• You will work closely data-scientists with this tech stack

• We play with data using R language and frameworks Keras, TF, xgboost

• We do apps and dashboards with Shiny and Golem