Lead Software Engineer (Java)

Location: India

Job Type: Full Time

Status: Draft

Posted: 2026-07-21 00:42:54

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Job Description

Qualifications

• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
• 8-10 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
• Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
• Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
• Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programming.
• Expertise in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
• Solid depth in Micro-services development with Kubernetes containerization for eventing and serving.
• Extensive experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
• Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Strong understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
• Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
• Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
• Exposure to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.

Skills

Full stack-JAVA, Microservices, Big Data, Kafka, KUBERNETES, Cloud(Preferred AWS), Frontend-(Preferred Angular), NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis, Infrastructure as Code (IaC) tools such as Terraform and Ansible.

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