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# Kubernetes Engineer

- **Company:** Aspire Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Elasticsearch, Fault Tolerance, Identity and Access Management, Python (Programming Language), Node.Js, Cloud Services, Distributed Caching, Software Engineering, Systems Integration, Web Services, Google Cloud, Load Balancing, Autoscaling, Istio, System Availability, Large Language Models, Apache Spark, Amazon Virtual Private Cloud (VPC), Kubernetes, Infrastructure Automation Frameworks, Cassandra, Apache Kafka, Virtual Agents, Terraform, Golang, Microservices
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/e896b3d3-6de0-47ba-80f4-42ff900291ab

## About the Role

* 8+ years of backend software development experience building and deploying production-grade web services.
 * Strong expertise in Kubernetes (CKA/CKAD preferred) with experience running both stateful and stateless workloads.
 * Hands-on experience with distributed systems in large-scale production environments.
 * Strong knowledge of AWS, Google Cloud Platform, or Azure and core cloud services.
 * Proficiency in Go, Java, or Python (Node.js is a plus).
 * Practical experience building or integrating AI agents into DevOps, engineering, or product workflows.

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.

## Description

* Design, develop, and maintain high-performance, low-latency REST/gRPC APIs and microservices using Go, Java, Python, or Node.js.
 * Own the full software lifecycle, including design, development, testing, deployment, monitoring, and production support.
 * Build, deploy, and manage cloud-native, containerized applications on Kubernetes.
 * Implement CI/CD, GitOps, observability, and leverage Helm, Kustomize, Service Mesh, Ingress, Operators, and Autoscaling.
 * Design and operate distributed systems with technologies such as Kafka, Cassandra, Elasticsearch, Spark, etcd, or distributed caching, ensuring scalability, fault tolerance, and high availability.
 * Troubleshoot complex distributed system issues involving networking, partitioning, consensus, and retries.
 * Develop and manage cloud infrastructure on AWS, Google Cloud Platform, or Azure, utilizing services such as S3, GCS, Pub/Sub, IAM, VPC, and Load Balancers.
 * Automate infrastructure using Terraform while implementing security and cost optimization best practices.
 * Build and integrate Agentic AI solutions using LangChain, AutoGen, CrewAI, or custom LLM agents for automation, developer productivity, and operational workflows.


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