Lead Engineer - Java / Python

Design, build, and maintain distributed and scalable backend services to support business-critical feature.
Collaborate with DevOps, product, and other engineering teams to define requirements and deliver long-lasting technical solutions.Optimize system latency, throughput, and resource usage to support high performance under variable loads.Address technical debt by refactoring code and infrastructure and stay updated on emerging technologies and industry trends.Excellent verbal and written communications with the ability to establish effective working relationships with team members and cross functional teams. Develop comprehensive test plans and maintain automated test suites to ensure software robustness and minimize regressions.RequirementsBasic QualificationsPossess 7 to 9 years of relevant professional experience.Demonstrate proficient programming skills in at least one modern language such as Java or Python.Strong expertise in system architecture and the development of highly available, fault-tolerant distributed applications optimized for performance and scalability in cloud environments.Proven experience working within Agile frameworks, contributing to technical design, iterative development, and conducting thorough code reviews.Well-versed in best practices for developing high-quality software, implementing continuous integration and continuous delivery (CI/CD) pipelines.Skilled in designing and implementing microservices using the Spring ecosystem, including Spring Boot, Spring JPA, Spring Batch, Spring Security, Spring Cloud, and Spring Data Stream.Hands-on experience managing distributed databases such as Azure CosmosDB, Couchbase, or MongoDB.Familiarity with relational database systems like Oracle, MySQL and PostgreSQL.Experience with distributed caching technologies such as Memcached, Redis, or Hazelcast to improve application performance.Competent in working with distributed messaging systems including Azure EventHub, Apache Kafka, and Solace to enable reliable communication and event handling.Ability to build and optimize production-quality data pipelines for both batch and stream processing to support large-scale data analytics and machine learning workloads.Proficient in using GitHub for version control and leveraging tools such as GitHub Copilot for code assistance and productivity enhancement.API development and maintenance skills: designing, implementing, and documenting RESTful, GraphQL, or SOAP APIs; version management and authentication (OAuth, JWT)Documentation: producing technical specifications, system architecture diagrams, and detailed API documentation for internal users.Preferred QualificationsProven experience taking an idea from inception to life with an ability to explore a variety of open-source technologies.Experience with developing, deploying, and launching software products on public cloud preferably Microsoft Azure and GCP.