5+ years working in public cloud environment, at least 3 of which is with AWS.
Minimum of 3 years of working in data engineering or full-stack engineering roles with relevant experience.
Significant experience building streaming data ingestion and processing pipelines for devices like IoT, connected vehicles, or other sources.
Background in at least one web application framework (Django, Flask, Node.js), including the use of an ORM.
Experience implementing large software systems using microservices.
Relational and Non-relational databases with significant data modeling experience.
Deep knowledge of Python.
Experience using distributed asynchronous message queues (eg; RabbitMQ, Kinesis, SQS).
Expert knowledge of RESTful web service principles, design and implementation.
Knowledge of user authentication and authorization schemes using SSO (Single Sign-on).
Strong communication skills and ability to explain technical stuff plainly.
Strong analysis and problem solving skills.
Experience with Linux, Git, and other command line tools.
Experience working in an Agile development methodology and associated tools.
Stay self-motivated and driven.
Experience with Kubernetes.
Experience building data analysis and BI tools.
Work demonstrated by a GitHub account, personal web page, or prior experience.
Familiarity with CI/CD tools (eg; CircuitCity, Jenkins, TeamCity, Bamboo).
Familiarity with streaming data storage solutions.
Deep knowledge of PostgreSQL, and MongoDB or DynamoDB.
Understanding and using caching in large web applications and persistence layers.
IOT / Connected Car / Telematics Data applications.
Competitive compensation plan that takes skills and experience into consideration.
Annual performance appraisals.
Possibility to choose your workspace either remote or combination of your home and one of our development offices.
Flexible working hours and adjustable work/life balance. Projects that use advanced, cutting-edge technologies.
Competitive bonuses for a personal recommendation of new employees.
Vacation time, sick-leaves, national holidays, family supplementary days off.
Comprehensive medical insurance including dental services, massages, and sports activities.
Support for a healthy lifestyle, compensation of running events.
Maternity leave policy.
Daycare centers for kids in select offices.
A personal loan budget is available for long-term personnel.
Partial compensation of conferences, courses and English classes.
Free meetups, webinars, and conferences organized by Svitla.
Birthday presents for personnel and New Year gifts for children.
Fun summer and winter corporate parties and memorable anniversary presents.
As a Sr. Data Software Engineer, you will build sophisticated cutting edge highly scalable software systems with a group of passionate mission-driven people.
This is a rare opportunity to join a highly innovative, high potential, funded startup, as one of the first engineers, and help architect and build the future of the connected cars market.
Svitla Systems Inc. is looking for Sr. Data Software Engineer for a full-time position (40 hours per week) in Ukraine. Our client is building an innovative big data platform for the connected cars market. Building sophisticated highly scalable systems for connected vehicles requires cutting edge software solutions built on distributed data-driven principles. The ideal candidate for this position will play an important role in building scalable cloud based distributed SaaS systems to enable a wide range of applications for connected vehicles and fleets.