Python TL Engineer (вакансія неактивна)

ABOUT THE PROJECT:
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.
Long-term business trip (California).

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

REQUIREMENTS:
MUST HAVE:
Advanced proficiency in Python
Managerial experience
Knowledge of designing and writing APIs or RESTful endpoints
at least Upper-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

LOHIKA BENEFITS:
— Friendly and highly professional teams
— Flexible working hours with no overtimes
— Regular performance reviews
— Comfortable office facilities (kitchens, shower, gym, sports activities, yoga, lounge zone, coffee points etc.)
— Fully paid English classes (twice per week) with own English teachers
— 20 working days of annual paid vacation
— Christmas holidays (1-7 January) and state holidays celebration
— Paid sick-leaves
— Premium Medical & Life insurance
— Incentives (marriage, childbirth)
— Training activities & bonuses for internal training delivery
— Corporate events