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Senior Java Developer with Data Structures knowledge

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 seek a Senior Java Developer possessing a profound understanding of Data Structures and Algorithms and robust skills in AWS.

As part of our remote team, this individual will function as our Product Engineer, utilizing a diverse technological skill set encompassing, but not limited to, Java, Kotlin, Scala, or Go Language, along with Spring and Java Microservice Infrastructure. The role entails active participation in a team consisting of developers, and testers, among others, to render on-time, quality product delivery.

Responsibilities
  • Ability to work with cross-functional teams to comprehend project requirements and develop solutions
  • The ability to design and implement scalable, maintainable software solutions
  • Regular creation and maintenance of clean code
  • Reviews of code for compliance with coding standards
  • Development and maintenance of automated tests to ensure quality
  • Active participation in Agile/Scrum development process and ceremonies
  • Accountability for quality and timely code delivery
  • Documentation of system architecture and code
  • Participation in discussions about system design and architecture
  • Technical guidance and mentorship to less experienced developers
Requirements
  • A Bachelor's degree in Computer Science, Information Technology, Software Engineering, or affiliated field
  • A minimum of 4 years of experience in software development, with a focus on Java
  • Prior experience with Amazon Web Services (AWS)
  • Proficiency in Data Structures and Algorithms
  • Experience in Kotlin, Scala, or Go Language
  • Proficiency in both SQL and NoSQL tools, APIs, and Integration
  • Knowledge of CI/CD processes and tools
  • Proficiency in Spring and Java Microservice Infrastructure
  • A proactive approach to problem-solving and a strong sense of ownership
  • Fluency in English with an Upper-Intermediate level or higher for effective communication in remote teams
Nice to have
  • Experience with containerization technologies like Docker and Kubernetes
  • Experience with Big Data technologies such as Hadoop and Spark
  • Familiarity with 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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