The UKEESS Software House team is looking for a Strong Junior Dev Ops Engineer (with Java) to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).
ABOUT THE CUSTOMER:
Our customer is the world’s largest DNA network from the USA. With more than 30 billion digitized global historical records, 130 million family trees, and 18+ million people in their growing database, our customers help people discover their family stories and gain actionable insights about their health and wellness.
ABOUT THE PROJECT AND TEAM:
You will join the Science Engineering team working on DNA research projects. This team builds a high-impact feature from scratch. Our team will work on building a DNA-only pedigree showing the relationships between people. We have more than 1 trillion DNA relationships in our database, and we will work to get the data into the right places to infer how people are related to each other. We will build this system with machine learning, data engineering, and smart data storage.
RESPONSIBILITIES INCLUDE:

• Work with various AWS services, create new services using Terraform, configure communication between the services and application
• Work on and guide microservice REST API design, communicating and aggregating data from different microservices
• Working with enterprise tools engineer to deploy the data pipelines
• Evaluate large datasets, address and resolve reconcilable discrepancies through data analysis, and find opportunities for continuous data improvement.
• Identify automation opportunities within current analytics processes and work closely with the architecture team to implement the solution.

REQUIRED SKILLS:

• 2+ years of professional experience in a Dev Ops role
• Good knowledge and commercial experience with the Amazon Web Services ecosystem (S3, EC2, SNS, SQS, Lambda, Secret Manager)
• Strong knowledge and commercial experience with Java and Spring Boot
• Strong knowledge and experience with Terraform
• Experience development & maintenance of CI/CD pipelines
• Commercial experience with relational databases (My SQL is preferable)
• Experience in data mining, large-scale data acquisition, auditing, transformation, and cleaning, both structured and unstructured data
• English: Upper-intermediate at least (both spoken and written)

WHAT DO WE OFFER OUR NEW COLLEAGUE?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities