Cloud Engineer

Randstad

Westlake, TX, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$156,000.0 - $158,080.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Microsoft Azure Cloud Computing Static Program Analysis Software Quality Computer Networks DevOps Github Protocol Buffers Gradle

+31 more

Identity and Access Management Image Management Java Virtual Machine (JVM) Apache Maven Octopus Deploy Scrum Methodology Role-Based Access Control Ansible Data Logging Google Cloud Java Application Server Istio Spring-boot Event Driven Architecture Integration Tests Kubernetes Information Technology Apache Flink Avro Apache Kafka Linkerd (Service Mesh) Spark Streaming Api Gateway Restful APIs Terraform Stream Processing Dynatrace Docker Jenkins Confluent Microservices

Requirements

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).