Job Description

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer

with 6

-9 years of experience,

who has worked extensively on

at least one major cloud platform (GCP, AWS, Azure, or OCI).

Experience with multiple cloud providers is a strong plus. As a

Senior Development Engineer

, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

Design and develop scalable, reliable backend services and cloud-native applications.

Build and manage RESTful APIs, microservices, and asynchronous data processing systems.

Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.

Implement and manage CI/CD pipelines and infrastructure automation.

Collaborate with frontend, DevOps, and product teams in an agile environment.

Ensure high code quality through testing, reviews, and documentation.

Required Skills

Strong hands-on experience with

Kubernetes

of atleast 2 years

in production environments

(mandatory).

Expertise in at least one public cloud platform

[GCP (Preferred)

,

AWS

,

Azure

, or

OCI]

.

Proficient in backend programming with

Python

,

Java

, or

Kotlin

(at least one is required).

Solid understanding of distributed systems, microservices, and cloud-native architecture.

Experience with containerization using Docker and Kubernetes-native deployment workflows.

Working knowledge of SQL and relational databases.

Preferred Qualifications

Experience working across multiple cloud platforms.

Familiarity with infrastructure-as-code tools like

Terraform

or

CloudFormation

.

Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).

Hands-on experience with

BigQuery

or

Snowflake

for data analytics and integration.

Nice to Have

Knowledge of NoSQL databases or event-driven/message-based architectures.

Experience with serverless services, managed data pipelines, or data lake platforms.

Job Type: Full-time

Pay: From ?3,000,000.00 per year

Schedule:

Day shift Monday to Friday
Experience:

with Kubernetes : 3 years (Preferred) public cloud platform : 7 years (Preferred) Backend: 7 years (Preferred) data analytics and integration: 7 years (Preferred)
Work Location: In person