Highly Skilled Backend Software Engineer Wanted

2 weeks ago

ballari, India beBeeBackend Full time

Software Engineer - Backend (Senior)As a seasoned professional, you will own and lead the development of core features or services across backend components. You will collaborate with architects and senior engineers to design scalable, reliable, and maintainable distributed systems.You will be responsible for writing clean, modular, testable code following industry best practices. Your expertise in integrating backend services with frontend applications and third-party systems is essential.You will mentor junior and mid-level engineers through code reviews, pair programming, and technical guidance. You will promote engineering best practices and contribute to defining coding guidelines, development workflows, and engineering processes.Leverage Large Language Models (LLMs) and AI-assisted engineering tools to optimize development, debugging, and testing workflows.Identify and propose new tools, frameworks, or libraries that enhance team productivity and software quality.Partner with QA and SRE teams to ensure high availability, performance, and reliability across environments. Develop and maintain automated test suites for unit, integration, functional, and end-to-end testing.Work closely with Product Managers, Designers, and cross-functional teams to translate business requirements into robust technical solutions.Actively participate in sprint planning, estimation, retrospectives, and post-mortems.Requirements:6–8 years of hands-on software development experience.Strong backend development expertise with Java / Spring Boot, and working exposure to frontend technologies.Deep knowledge of RESTful APIs, microservices architecture, and CI/CD pipelines.Strong proficiency in Data Structures & Algorithms (DSA) and system design fundamentals.Hands-on experience with AWS Cloud Services (Lambda, ECS/EKS, S3, RDS, CloudWatch, SNS/SQS, etc.).Strong skills in debugging, performance tuning, and distributed system troubleshooting.Experience with Kubernetes/Docker, Git, and Agile methodologies.Interest or experience in integrating LLMs / AI tools into engineering workflows.

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