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3 results for Java Engineer in Memphis, TN
- Memphis, TN
- onsite
- Temporary
- 55 - 60 USD / Hourly
- <p>We are seeking a DevOps Engineer to join a fast-paced, collaborative team focused on building scalable, secure, and automated infrastructure to support modern application development. This role is ideal for someone passionate about automation, cloud-native technologies, and continuous improvement.</p><p>Responsibilities</p><ul><li>Design, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery.</li><li>Collaborate with development teams to containerize applications and deploy microservices across cloud environments.</li><li>Manage infrastructure as code using tools like Terraform, CloudFormation, or Pulumi.</li><li>Monitor system performance, availability, and security across environments.</li><li>Automate operational tasks and streamline deployment workflows.</li><li>Support cloud migration and modernization initiatives.</li><li>Troubleshoot and resolve issues across the development and production environments.</li><li>Champion DevOps best practices and mentor team members on tooling and processes.</li></ul><p><br></p>
- 2026-03-05T00:00:00Z
- Memphis, TN
- onsite
- Temporary
- 55 - 65 USD / Hourly
- <p>Our client is looking for an experienced DevOps Engineer with a strong background in infrastructure engineering rather than application development. This role is responsible for maintaining, automating, and improving the organization’s core systems, networks, cloud environments, and deployment pipelines that support enterprise‑level financial operations. The ideal candidate has hands‑on experience with cloud platforms, infrastructure-as-code, system monitoring, security hardening, and supporting highly available environments.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Manage and support core infrastructure services across on‑prem, cloud, and hybrid environments.</li><li>Build, automate, and maintain CI/CD and infrastructure pipelines (Terraform, Ansible, etc.).</li><li>Implement and manage monitoring, alerting, and logging solutions to improve observability.</li><li>Support configuration, provisioning, and lifecycle management of servers, networks, and storage.</li><li>Collaborate with security teams to enforce access controls, patching, compliance, and system hardening.</li><li>Maintain containerized infrastructure (Docker, Kubernetes) used for internal tooling and services.</li><li>Optimize system performance, capacity, reliability, and cost efficiency across all environments.</li><li>Assist with incident response, root cause analysis, and long‑term remediation strategies.</li><li>Document infrastructure standards, architecture diagrams, and operational procedures.</li><li>Partner with cross‑functional teams to support infrastructure upgrades, migrations, and modernization efforts.</li></ul><p><br></p>
- 2026-03-05T00:00:00Z
- Memphis, TN
- onsite
- Temporary
- 55 - 60 USD / Hourly
- <p>Our client is seeking an AI Developer to design, build, and deploy production‑grade AI solutions within a complex enterprise environment. This role focuses on integrating Azure‑based AI capabilities, developing machine learning workflows, and supporting teams as they adopt intelligent automation and advanced analytics. The ideal candidate has hands‑on experience with Azure Machine Learning, LLMs, and real‑world model deployment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement AI/ML models using Azure Machine Learning, Azure OpenAI, and Cognitive Services.</li><li>Develop and maintain solutions such as chatbots, document intelligence pipelines, predictive analytics, and NLP workloads.</li><li>Partner with data engineers, analysts, and technical stakeholders to identify and evaluate opportunities for AI integration.</li><li>Deploy, monitor, and maintain models using Azure ML pipelines, Azure Functions, and Azure Kubernetes Service (AKS).</li><li>Ensure all AI solutions meet organizational standards related to security, compliance, performance, and governance.</li><li>Document models, workflows, APIs, and deployment processes for scalability and internal knowledge sharing.</li><li>Stay current with emerging AI trends, tools, and best practices relevant to enterprise environments.</li></ul><p><br></p>
- 2026-03-05T00:00:00Z