Top Java Developer Jobs in Hyderabad, TG
The Engineer III, Software Development role at S&P Global Market Intelligence involves designing, developing, and maintaining client-facing applications for capital and commodities markets. Responsibilities include problem-solving, providing technical guidance, championing best practices, and collaborating with teams globally. The position requires 4-6 years of experience in Java or .NET development, a Bachelor's/Master's degree in computer science or equivalent, and proficiency in essential technologies like Java, C#, and ASP.NET. Preferred qualifications include knowledge of search and big data technologies, data science search technologies, and database technologies.
Join Cyient as a Java Architect working on products development and creating proof-of-concept prototypes. Responsibilities include strong Java skills, Java Spring framework experience, knowledge of various tools/platforms, containerization concepts, distributed systems knowledge, relational database experience, and working with software development concepts and tools.
BlackStone eIT is seeking a highly skilled Senior Software Engineer to design, develop, and maintain high-quality and scalable software solutions. Responsibilities include participating in the software development life cycle, collaborating with teams, writing clean code, troubleshooting defects, and mentoring junior developers. Requires a Bachelor's degree in Computer Science, 5 years of experience, proficiency in Java, C++, or Python, knowledge of software development principles, and strong problem-solving skills.
Senior Software Engineer with 7+ years of experience in Java Full stack development. Proficient in Backend Java, Java Spring Boot, React, and UI/UX principles. Experienced with AWS services, databases like Postgres and MongoDB, and monitoring tools like Sumo Logic and New Relic.
Lead and participate in medium- to large-scale projects, collaborate with cross-functional teams, develop scalable software solutions using Java, Spring Boot, and microservices, implement event-driven architectures with Kafka, work with cloud platforms like GCP and Azure, utilize ELK stack for log analysis, optimize queries using Big Query, stay updated with emerging technologies, and contribute to knowledge sharing within the team.
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