Live opening · Posted 1 day ago
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Description supplied by the original job listing.
Responsibilities:
Design and build highly scalable, distributed backend systems and data pipelines.
Own core platform architecture across compute, storage, streaming, and orchestration layers.
Develop cloud-native services using Kubernetes and modern microservices patterns.
Build and optimise real-time and batch data pipelines (Kafka, Spark, and Big Data stacks).
Improve system reliability, performance, observability, and cost efficiency.
Lead technical design decisions and mentor engineers on systems best practices.
Own services' end-to-end design, implementation, deployment, and production stability.
Requirements:
4+ years of experience as a backend/systems/platform engineer.
Strong experience designing and scaling distributed systems in production.
Hands-on experience with Kubernetes and cloud-native architectures.
Strong knowledge of streaming and messaging systems (Kafka or similar).
Experience building big data pipelines using Spark or similar frameworks.
Deep experience with at least one cloud provider (AWS / Azure / GCP).
Strong fundamentals in system design, data structures, and performance optimisation.
Experience
3-7 yrs
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