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Senior Java Developer with Algorithms and Data Structures

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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Sorry, this position is no longer available

We are seeking a remote Senior Java Developer with AWS proficiency and an in-depth understanding of Data Structures and Algorithms to join our team. In this role, you will design and build scalable and maintainable software solutions. You should have mastery over a variety of technologies, including Java, Kotlin, Scala, and Go Language, as well as an understanding of Spring and Java Microservice Infrastructure. You will work within a team of developers, testers, and other stakeholders to ensure timely and successful product delivery.

Responsibilities
  • Collaborate with cross-functional teams to understand project requirements and develop solutions
  • Develop and implement scalable and maintainable software solutions
  • Create and maintain code following clean coding practices
  • Conduct code reviews to ensure compliance with coding standards
  • Develop and maintain automated tests to ensure the quality of deliverables
  • Ensure the timely delivery and quality of code
  • Participate in Agile/Scrum development process and ceremonies
  • Participate in system design and architecture discussions
  • Document code and system architecture
  • Provide technical guidance and mentorship to junior developers
Requirements
  • A Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field
  • A minimum of 4 years of software development experience, particularly with Java
  • Prior professional experience with Amazon Web Services (AWS)
  • Proficiency with Data Structures and Algorithms
  • Experience with Kotlin, Scala, or Go Language
  • Familiarity with CI/CD processes and tools
  • Expertise in SQL and NoSQL tools, as well as APIs and Integration
  • Proficiency in Spring and Java Microservice Infrastructure
  • A strong sense of ownership and a proactive problem-solving approach
  • B2+ English level
Nice to have
  • Experience with containerization technologies such as Docker and Kubernetes
  • Familiarity with Big Data technologies like Hadoop and Spark
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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