Senior Software Engineer - Java with Data Structures & Algorithms

About the Position

We are seeking a Senior Software Engineer with strong expertise in Java, Data Structures & Algorithms to join our software engineering team and contribute to the design, development, and delivery of scalable, high-performance applications.

Responsibilities

• Function as a member of a software engineering team by contributing to software builds through consistent development practices
• Debug basic software components and identify code defects for remediation
• Enable the development, support, and monitoring of software across test, integration, and production environments
• Automate deployments in test or production environments
• Adhere to security and regulatory requirements
• Design and contribute to API implementations
• Follow best practices for automated unit, integration, and regression testing
• Participate in pull request reviews to ensure quality code delivery
• Build software as part of a nimble Agile team, with the opportunity to impact team goals and contribute to the overall architecture
• Ensure infrastructure is safely extensible, scalable, reliable, and meets SLAs for both external and internal users
• Ensure software solutions are testable, intuitive, and easy to maintain

Requirements

• 5 to 8 years of software development, testing, and implementation experience
• Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related STEM field
• Proficiency in Java 8, Data Structures & Algorithms, and Microservices
• Expertise in REST APIs, JSON, and Kafka
• Knowledge of RDBMS & NoSQL database technologies such as MongoDB, Redis, and PostgreSQL
• Skills in Spring Boot, Maven, and GIT
• Familiarity with Jenkins, GitHub Actions, and Agile development methodologies
• Understanding of Linux/Unix and Gradle/Maven
• Hands-on experience implementing highly scalable, low latency software applications using multi-threaded, asynchronous & reactive programming
• Practical experience deploying containerized software applications to cloud computing environments using Kubernetes and Docker
• Background in high availability techniques, profiling, and performance analysis of applications
• Competency in Design Patterns, System Design, and Problem Solving

We Offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)