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Lead Java Developer
We are actively looking for a seasoned Senior Java Developer who can contribute remotely and possesses a profound understanding of NoSQL databases and ElasticSearch, bringing valuable expertise to our dynamic team.
As a pivotal member of our workforce, your primary responsibility will be to craft and sustain scalable, high-performance solutions. This entails close collaboration with cross-functional teams comprising data engineers, software developers, and infrastructure specialists to ensure seamless integration and optimal system performance.
Responsibilities
- Lead the development and maintenance of scalable, efficient solutions within the ET Data and Infrastructure Platform
- Innovate and implement bespoke abstractions tailored to the unique requirements of consumption systems
- Foster collaboration with cross-functional teams, including data engineers, software developers, and infrastructure specialists, ensuring seamless integration and optimizing performance
- Fine-tune data pipelines, infrastructure components, and data storage systems to elevate efficiency and reliability
- Rigorously test and debug software components, ensuring the delivery of high-quality outputs
- Stay abreast of the latest technologies, trends, and best practices in data processing, NoSQL databases, and ElasticSearch
- Participate actively in code reviews, offering constructive feedback and guidance to fellow team members
- Document technical specifications, processes, and procedures associated with the Data and Infrastructure Platform
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
- 5+ years of professional experience as a Java developer, showcasing prowess in NoSQL databases and ElasticSearch
- Proven track record of leading and mentoring a team of engineers
- Robust proficiency in the Java programming language and its related frameworks
- In-depth knowledge of MongoDB, Cassandra, or Couchbase
- Hands-on experience with ElasticSearch, covering querying, indexing, and performance optimization
- Proficiency with Spring Boot, REST and Reactive Programming
- Solid grasp of distributed systems, data modeling, and data processing frameworks
- Expertise in crafting efficient, optimized code for large-scale data processing and storage
- Familiarity with cloud platforms and technologies, such as AWS, GCP, or Azure (a plus)
- Strong problem-solving skills and the capacity to work both independently and collaboratively within a team
- Excellent written and verbal communication skills in English at an Upper-Intermediate level
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