What are the responsibilities and job description for the Java developer with DevOps position at Smart IT Frame LLC?
Role: Java Developer with Devops
Location: New York City, NY (Onsite - 4 days) - Only locals
Duration: Fulltime
Key Responsibilities
Design implement and maintain CICD pipelines for Java based applications and microservices
Automate build test deployment and infrastructure provisioning processes
Manage containerized applications using Docker and Kubernetes
Support development teams in deploying and operating Java Spring Boot and microservices based applications
Build observability solutions using monitoring logging and ing tools
Implement Infrastructure as Code Isac using Terraform CloudFormation or similar tools
Deploy and manage AI Generative AI workloads including LLM based applications and AI services
Integrate AI platforms such as Azure Open AI Open AI APIs or cloud AI services into enterprise environments
Ensure platform security compliance disaster recovery and scalability
Collaborate with Development Architecture Security and Operations teams in Agile environments
Optimize cloud infrastructure costs and performance.
Preferred Qualifications:
Bachelor’s degree in computer science engineering or related field
5 years of DevOps experience
Experience supporting enterprise scale Java applications
Knowledge of AI platform operations and MLOps workflows
Experience in Banking Financial Services or Digital Assets platforms is preferred
Desired Competencies
Strong troubleshooting and automation mindset
Excellent collaboration and stakeholder management skills
Ability to drive platform modernization initiatives
Passion for AI driven operational excellence and continuous improvement.
Skills
Mandatory Skills : AI/Generative AI, AWS DevOps Services, Azure DevOps, Java
Required Technical Skills
DevOps Cloud, Azure AWS or GCP, Docker Kubernetes OpenShift, Jenkins GitHub Actions GitLab CICD Azure DevOps, Terraform Ansible Helm, Linux Administration Shell Scripting, Java Platform Experience, Java 81117, Spring Boot, REST APIs Microservices, Maven Gradle, Kafka JMS Messaging, AI Generative AI, Azure Open AI Open AI APIs Vertex AI Bedrock or similar platforms, Prompt Engineering, LLM Deployment and Integration, RAG Retrieval Augmented Generation, Vector Databases and AI Observability MLOps fundamentals and AI model lifecycle management Monitoring Security Splunk Grafana Prometheus ELK, SonarQube, Vulnerability Scanning, IAM Secrets Management SSLTLS.