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Senior Java Developer (Algorithms and Data Structures)

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Java, Algorithms & Data structures, Kotlin, Scala, Go Language, SQL, NoSQL tools, APIs and Integration, CI/CD, Spring, Ownership, Java Microservice Infrastructure, Amazon Web Services
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We're on the lookout for a Senior Java Developer with a background in AWS and deep knowledge of Data Structures and Algorithms to join our remote workforce.

As our chosen Product Engineer, you will be tasked with designing and building scalable and sustainable software solutions. Your expertise will span multiple technology fields such as Java, Kotlin, Scala, or Go Language, alongside Spring and Java Microservice Infrastructure. Your role will involve collaboration within a group of developers, testers, and other team members to achieve timely, successful product delivery.

Responsibilities
  • Engagement with cross-functional teams to understand project requirements and develop solutions
  • Creation and implementation of scalable and sustainable software solutions
  • Creation and maintenance of clean, principled code
  • Execution of code reviews to ensure compliance with coding standards
  • Creation and upkeep of automated tests for quality assurance
  • Participation in Agile/Scrum development processes and ceremonies
  • Ensuring punctuality and quality of code delivery
  • Documentation of code and system infrastructure
  • Participation in system design and architecture discussions
  • Provision of technical assistance and mentoring to junior developers
Requirements
  • Holders of a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field
  • A minimum of 4 years' experience in software development, with emphasis on Java
  • Past experience with Amazon Web Services (AWS)
  • Expertise in Data Structures and Algorithms
  • Prior experience in Kotlin, Scala, or Go Language
  • Proficiency in SQL and NoSQL tools and APIs and Integration
  • Familiarity with CI/CD processes and tools
  • Proficiency in Spring and Java Microservice Infrastructure
  • Proactive problem-solving skills with a strong sense of ownership
  • Native-level English speakers of Upper-Intermediate level or higher, with excellent verbal and written communication abilities for successful remote teamwork
Nice to have
  • Prior experience with containerization technologies such as Docker and Kubernetes
  • Experience with Big Data technologies such as Hadoop and Spark
  • Knowledge of Machine Learning and Artificial Intelligence technologies
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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