Cloud Engineer

Experience with Apache Kafka: topic design, consumer groups, offset management, and schema evolution (Avro / Protobuf with Schema Registry).

• Familiarity with Kafka deployment and operations on Kubernetes (Strimzi Operator or Confluent Platform).

• Exposure to stream processing frameworks such as Kafka Streams, Apache Flink, or Spark Structured Streaming., Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, etc.) required.

• 5+ years of hands-on experience designing, deploying, and operating production Kubernetes clusters (self-managed or managed services such as EKS, AKS, GKE).

• Deep expertise in Kubernetes internals: workload scheduling, RBAC, network policies, Helm/Kustomize, Operators, and cluster autoscaling.

• Strong experience with DevOps practices and tooling: CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD / Flux GitOps), infrastructure-as-code (Terraform, Ansible), and container image management (Docker, container registries).

• Proven ability to build and maintain self-service developer platforms and golden-path templates on Kubernetes.

• 2+ years of experience operating workloads on Cloud platforms (AWS, Azure, or Google Cloud Platform), including networking, IAM, and cost optimisation.

• Strong knowledge of observability: metrics (PrometheGrafana), logging (ELK / OpenSearch), and distributed tracing.

• Experience with service mesh technologies (Istio, Linkerd) and API gateway patterns.

• Solid experience in Agile methodologies (Kanban and SCRUM).

• Strong technical design and analysis skills; ability to deal with ambiguity and work in a fast-paced environment.

• Excellent communication skills, both written and verbal, with strong collaboration skills across multiple teams.

qualifications:

• 3+ years of experience developing microservices with Java and Spring Boot.

• Strong understanding of microservices architecture, REST APIs, and event-driven design patterns.

• Experience containerising and deploying Java applications to Kubernetes, including JVM tuning for container environments.

• Familiarity with build tooling (Maven, Gradle) and code quality practices (unit/integration testing, static analysis).