A BSc in Computer Science or equivalent;
2+ years of professional experience in IT operations or DevOps;
Experience with ElasticSearch, Logstash and FileBeat ;
Strong expertise with Docker ;
Good level of experience with AWS (EC2, EBS, ELB, Route53, etc.);
Very good command of written and spoken English.
Experience with Kafka and Kafka Cluster setup;
Infrastructure as Code using Terraform;
Fast in deliveries and trials/pocs.
Individual approach to professional and career growth (Personal Development Plan),
Comfortable work conditions (including two monitors on each work place),
Smart environment — interesting projects from renowned clients,
Flexible work schedule,
3 social packages to choose among — medical insurance, sports attendance payment or mix of both,
Annual vitaminization program for employees,
English and German courses,
Competitive salary according to the qualifications,
Guaranteed full workload during the term of the contract,
Corporate leisure activities.
Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs), offering smokers a healthier alternative to traditional cigarettes. The target audience is more than 1 billion of consumers around the globe.
Intellias mission is to help client with engineering of comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in engineering of core platform components for best in class eCommerce, Digital Marketing and IoT solutions. The scope of work spans over complex engineering assignments, including architecture, design, optimization and operation of big data/high-load services. We do “green-field” engineering with modern methodologies, such as Spotify Agile culture and DevOps Framework.
The platform uses Event Driven approach to integrate real-time engines, micro-services, data intelligence and enterprise applications. The Big Data solution with Hadoop, Spark, Cassandra and Kafka is aimed to support 10x peaks of concurrent accesses, with IoT and Data points generating trillions of events per year. Our full technology stack includes AWS, Docker, Kubernetes, Rancher, Jenkins pipelines, ELK, Python, Java, Hadoop, Spark, Diyotta, Cassandra, Kafka, WSO2, Hive, Zeppelin, Aginity, R Server, Tableau, SalesForce and Demandware.
As a DevOps engineer, you will become a part of Core Architecture team and be responsible for architecture design and development of complex telemetry solution for Digital Consumer Engagement platform.
More information about the project — www.intellias.ua/projects/consumer_engagement_platform_for_RRP