Software Engineer, Data Infrastructure, Kafka
About the role
Location: Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Benin, Bosnia and Herzegovina, Botswana, Bouvet Island, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Finland, France, French Guiana, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hungary, Iceland, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Jersey, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Mali, Malta, Martinique, Mauritania, Mauritius, Mayotte, Moldova, Monaco, Montenegro, Morocco, Mozambique, Namibia, Netherlands, Niger, Nigeria, North Macedonia, Norway, Oman, Palestine, State of, Poland, Portugal, Qatar, Romania, Russian Federation, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Sint Maarten (Dutch part), Slovakia, Slovenia, Somalia, South Africa, South Sudan, Spain, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Togo, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uzbekistan, Western Sahara, Yemen, Zambia, Zimbabwe, Åland Islands Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach). We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms. We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations. Location: This role can be filled in European, Middle East and African time zones. What your day will look like The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actu