Lead Back End Engineer ( Java- Nodejs )

• Leading an agile software team, you will design, implement, and maintain the Client’s global
• content API application using modern backend technologies.
• Provide technical vision, direction and prioritization for the team.
• Continuously innovate and strategize on making our applications faster and more resilient.
• Analyze complex problems, create reports and generate potential solutions for software,
• systems and processes.
• Write high-quality code that supports existing and future requirements of the product
• Discover, research, select, configure and deploy new technologies
• Conduct Code Reviews by following Client’s Coding Standards
• Work closely with product and engineering to deliver on product objectives.
• Continually communicate with team members and stakeholders, including clarifying vision,
• changes in the marketplace, deliverables, timelines, etc.
• Anticipate challenges and work with the team to develop solutions

Requirements

• Bachelor’s degree, or the equivalent, in a specific specialty such as Computer Engineering,
• Information Systems, Computer Science, or a closely related field.
• At least 7+ years in a hands-on software role
• 4+ years as a backend engineer on distributed, high performance, fault-tolerant and high
• availability systems
• Strong background in architecting, developing, optimizing and maintaining REST, GraphQL

APIs

• Extensive experience in ElasticSearch and Kibana
• Fluency in Java, python, Node.js and associated frameworks
• Expert knowledge of modern cloud services including managed services such as AWS EKS,

OpenSearch, Lambdas, IAM, and RDS

• Experience using DevOps principles like TDD, CI/CD and build/test/release automation
• Direct experience with deploying production systems in cloud-native infrastructure (AWS, GCP)
• Experience developing using Agile Methodologies
• Strong analytical and problem-solving skills
• Proven ability to analyze, decompose and estimate effort associated with various technical
• solutions
• Experience with performance and optimization problems and a proven ability to diagnose and
• prevent these problems