AWS DevOps Engineer

We offer:

• Work in a team of interdisciplinary experts and technology enthusiasts, inspired by working in a flat hierarchy;
• Permanent full-time cooperation in an extraordinary company, which has been growing dynamically for 20 years;
• Possibility of development in various IT projects realized for well-known and recognizable clients – leaders in their industries;
• The ability to work with the latest technologies and the highest standards of development;
• Flexible working hours and a hybrid or fully remote working model (different arrangements apply in different teams, we do not impose any options);
• A number of initiatives supporting knowledge sharing and development, such as: internal training, thematic guilds, Cloud training and certification opportunities (technology partnerships in four clouds);
• Possibility to learn English or German online and English lessons for teams;
• Multisport card and medical insurance;
• Sea adventures co-financed by company – we regularly sail in the Caribbean, Mediterranean or North Sea.

•  Work in a global informatics organization and be a member of technical team specializing in custom applications development and cloud platforms (AWS, Azure, GCP);
• Be responsible for designing and implementing cloud-based applications that support various business cases, mainly related to data analytics and data warehousing.

• 3+ years of experience with designing and implementing cloud native solutions on AWS;
• 3+ years of experience in application development using one of the object oriented programming languages (preferably Java or Python);
• Excellent understanding of containers (Docker, Kubernetes, AWS EKS), microservice and serverless architectures;
• Practical knowledge of full software development lifecycle, CI/CD, DevOps principles and agile ways of working;
• Basic understanding of AWS networking (VPC, API Gateway), security and authentication concepts (IAM, IdP);
• Very good communication skills in English.

Nice to know:

• Experience with other cloud platforms (GCP, Azure);
• Experience with data structures, algorithms, data modeling and schema design;
• Experience with Data, Analytics, AI/ML services (AWS Redshift, AWS Glue, AWS SageMaker).