PURPOSE OF THE JOB
Our customer is a renewable energy advocate which creates innovative technologies for changing the way energy is being distributed and consumed. Their main aim is to create and manage the biggest digitally-connected energy storage as well as to assist in reducing carbon dioxide emissions into the atmosphere. Our client has been successfully working with hundreds of companies, including those which are included in the Fortune 500 list.
You will be working in a team which is responsible for developing and delivery of predictive and optimization algorithms. You will be involved in ‘wrapping’ these algorithms into micro-services.
MAIN TASKS AND RESPONSIBILITIES
Lead the team according to established processes while tightly collaborating with the stakeholders
Enable our customer artificial intelligence and machine learning platform
Create virtual power plants supporting the electricity grid with distributed energy storage
Scale the business 10x from thousands to tens of thousands of industrial IoT device
Activate a powerful partner network in a rapidly changing marketplace
Build an industry leading real-time technology stack
EDUCATION, SKILLS AND EXPERIENCE
Advanced proficiency in Python
Knowledge of designing and writing APIs or RESTful endpoints
Intermediate + level of English
Strong communication & team working skills
WOULD BE A PLUS
Knowledge the concepts of designing, developing and deploying micro-services
Experience of SQL and NoSQL datastore (e.g. DynamoDB, Hive, Mysql, Presto, Postgress, MongoDB, Cassandra, etc.)
Knowledge of message streams and brokers RabbitMQ, Kinesis, Kafka, etc.
If you have worked with IoT frameworks and familiar with MQTT you have our interest!
You have hands-on experience with Linux and Docker-based environments
Friendly and highly professional teams
Modern office facilities (kitchens, gym, yoga, playroom, coffee and tea points etc.)
Regular (twice a year) performance reviews
Fully paid English classes with certified teachers and native speakers
Internal and external training
Premium health insurance (medication, massage, and doctor in the office etc.)
20 working days of annual paid vacation
Christmas and other state holidays
Corporate events (corporate parties, sports competitions, What? Where? When? Team etc.)
Incentives (marriage, childbirth gifts)
And much more!
Please send you CV or contact us with more questions!