Devops Engineer Kubernetes Jobs in Florida (NOW HIRING)

Job title: AWS DevOps Engineer (AI/ML & MLOps)
Work Location: Tampa, FL
Rate: $45/hr w2
Client: Infosys (Visa Independent candidates)
Position: 2
Minimum years of experience: 8+ Yrs
Would you require the candidates to meet you for in person interview? No
Is Skype/WebEx interview, OK? OK
Is this onsite/remote position: Hybrid
If onsite, will you be considering relocation candidates: No
Job Description:
We are looking for an experienced AWS DevOps Engineer with strong expertise in Terraform, CI/CD automation, and AI/ML platform deployment. The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust DevOps practices. This role requires hands-on experience in Infrastructure as Code (IaC), containerization, cloud-native technologies, MLOps, and automation.
Key Responsibilities
Cloud Infrastructure & Automation
Design, deploy, and manage highly available and secure AWS cloud environments.
Develop and maintain Infrastructure as Code (IAC) using Terraform.
Automate cloud provisioning, configuration management, and environment setup.
Implement cloud governance, security, compliance, and cost optimization strategies.
DevOps & CI/CD
Design and manage CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline.
Automate application deployments across development, testing, and production environments.
Implement GitOps and DevSecOps best practices.
Manage source control repositories and branching strategies.
AI/ML & MLOps
Deploy, automate, and manage AI/ML solutions on AWS.
Support ML lifecycle management, including model training, validation, deployment, and monitoring.
Work with Amazon Sage Maker for model development and deployment.
Implement MLOps pipelines for continuous model integration and delivery.
Collaborate with Data Scientists and AI Engineers to operationalize machine learning models.
Containerization & Orchestration
Build and manage containerized workloads using Docker.
Deploy and manage Kubernetes clusters using Amazon EKS.
Implement Helm charts and Kubernetes best practices for scalable deployments.
Monitoring & Security
Configure monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and ELK Stack.
Implement IAM policies, security controls, secrets management, and vulnerability scanning.
Monitor infrastructure health and optimize system performance.
Nice-to-Have
Generative AI deployment experience using Amazon Bedrock, Open AI, Anthropic, or Hugging Face models.
Experience with LLM deployment, vector databases, and RAG architectures.
Knowledge of LangChain, AI Agents, and AI workflow automation.
Exposure to Data Engineering tools such as Glue, Athena, EMR, or Redshift.
Experience implementing AI governance and model security frameworks.
Job Title: Senior Java Full Stack Developer
Work Location : Charlotte, NC 28202
Rate: $38/hr w2
Client: Infosys (Visa Independent candidates)
Position: 2
Contract duration (in months)* 11
Job Details:
Must Have Skills (Top 3 technical skills only) *
1. Java 81117
2. Spring Data JPA Hibernate
3. REST API Development
Nice to have skills (Top 2 only)
1. SQL
2. PostgreSQL
Detailed Job Description:
Design, develop, test, and deploy full stack web applications. Build scalable backend services using Java and Spring Boot. Develop responsive and user-friendly UI using Angular, React, or similar frameworks. Create and consume RESTful APIs and microservices. Collaborate with business analysts, architects, and QA teams. Participate in code reviews and ensure adherence to coding standards. Optimize application performance and troubleshoot production issues. Work with CICD pipelines and DevOps practices.
Minimum years of experience*: >10 years
Certifications Needed: No
Top 3 responsibilities you would expect the Subcon to shoulder and execute*:
1. Develop responsive and user-friendly UI using Angular, React, or similar frameworks.
2. Create and consume RESTful APIs and microservices.
3. Develop secure and high performing applications following industry best practices.
Interview Process (Is face to face required?)
No