Senior Backend Engineer (Go/Python/Kubernetes) at Gramian Consulting Group

, , United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, Python, Kubernetes, Kafka, Redis, Postgres, OOP, Design Patterns, Testing, Systems Architecture, System Design, High Throughput, Reliability, Cloud, Product Engineering, Batch Indexing, Real-Time Indexing

Industry

IT Services and IT Consulting

Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview Our client is a large-scale, consumer-facing technology platform operating at massive data and traffic scale (10 million users daily). Within their Machine Learning organization, the Indexing Team owns the platform that transforms raw data into high-quality, queryable indexes powering core experiences such as search, feed ranking, and content understanding. The team works closely with backend engineers and ML engineers to support both real-time and batch indexing pipelines, ensuring the Indexing Platform is scalable, reliable, and easy to use. These indexes underpin critical ML systems and directly impact user-facing experiences across the platform. Key Responsibilities System design. This requires a good understanding of how the systems work, with particular focus on latency and scalability. Development. Indexing Platform works mainly with Go and some Python. Skills in testing, SOLID and design patterns are a must. Systems architecture. Indexing Platform makes extensive use of Kubernetes, Kafka, Redis and Postgres, and many internal and third party APIs, with focus on resilience, monitoring and alerting, and automation. Proficiency in Python and Go, OOP, design patterns, and writing clear, testable code. Strong expertise in testing (unit, integration, etc.). Hands-on experience with Kubernetes, Kafka, Redis (user/admin level). Familiarity with AWS and/or Google Cloud for deployment and scaling. Experience working on the backends of large-scale B2C applications (10M+ daily active users), optimizing for high throughput and reliability. Product engineering experience, with a track record of delivering end-to-end features from design to production.

Responsibilities

The role involves system design with a focus on latency and scalability, as well as development of the Indexing Platform using Go and Python. The engineer will work on both real-time and batch indexing pipelines to ensure the platform is scalable and reliable.