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