Tech Lead – Backend Engineering (Retail Domain | Kafka, Java, AWS)

Location : [Add location or mention “Remote / Hybrid”]

Experience : 7–10 years (relevant experience) - Total experience can be more

Engagement : Full-time | Immediate Requirement

End Client : Leading decades-old retail player in North America

About the Role We are seeking a reliable and strategic Tech Lead who can bridge the gap between business and technology — someone who not only writes great code but also understands why it needs to be written.

As the Tech Lead – Backend Engineering , you will play a pivotal role in shaping, implementing, and supervising the technology strategy for a key client in the retail industry . You will lead backend development efforts, manage a talented team of engineers, and ensure successful delivery of scalable, high-performance systems.

Key Responsibilities Lead the design, development, and maintenance of backend services using Java, Flink, Python, and Kafka .

Translate business needs into technical requirements and create clear implementation strategies.

Architect and optimize real-time streaming pipelines and event-driven microservices .

Manage and monitor distributed systems with New Relic , Splunk , and Airflow .

Work hands-on with AWS services (PostgreSQL, Aurora, DynamoDB) to build and maintain cloud-native solutions.

Oversee Infrastructure-as-Code (IaC) using Terraform or CloudFormation .

Implement DevOps best practices using Kubernetes and Docker for deployment and scalability.

Mentor and guide the engineering team, ensuring quality, timely delivery, and adherence to technical best practices.

Must-Have Qualifications 7–10 years of relevant experience in backend development and team leadership.

Proven expertise in Kafka and event-driven architectures .

Strong command over Java , Python , and AWS Cloud Services .

Hands-on experience with Terraform or CloudFormation .

Proficiency in Kubernetes , Docker , New Relic , and Splunk .

Strong problem-solving ability with a DevOps and ownership mindset .

Excellent communication skills and ability to collaborate with business stakeholders.

Tech Stack Programming Languages : Java, Python, Flink

Cloud & Databases : AWS (PostgreSQL, Aurora, DynamoDB)

Streaming & Messaging : Kafka

Infrastructure-as-Code : Terraform / CloudFormation

Monitoring & Orchestration : Airflow, New Relic, Splunk

Containerization : Kubernetes, Docker

Why Join Us Opportunity to lead high-impact retail technology projects from inception.

Collaborative culture that values autonomy, innovation, and technical excellence.

Exposure to cutting-edge event-driven and cloud-native architectures.

Long-term engagement with a key enterprise account in its foundational phase.

Apply on LinkedIn