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Job Details

Skills

Java/Spring Boot
DevOps/Cloud
AIML

Summary

About the Role

We are seeking a Senior DevOps Engineer with 7+ years of experience managing cloud infrastructure and CI/CD pipelines across Azure and AWS. The ideal candidate has mandatory hands-on AI/ML experience (3+ years) along with mandatory Java and Spring Boot skills, enabling them to support and deploy intelligent, backend-driven applications at scale.

Key Responsibilities

Design, implement, and manage CI/CD pipelines across Azure DevOps, AWS CodePipeline, Jenkins, or GitHub Actions
Architect and maintain cloud infrastructure on Azure and AWS (compute, networking, storage, security)
Support deployment and scaling of Java/Spring Boot microservices and applications
Enable and support MLOps workflows deploying, monitoring, and scaling AI/ML models in production
Build and maintain Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation)
Implement containerization and orchestration strategies (Docker, Kubernetes, AKS, EKS)
Set up monitoring, logging, and alerting (Prometheus, Grafana, CloudWatch, Azure Monitor)
Collaborate with development, data science, and QA teams to streamline release cycles
Drive automation of build, test, and deployment processes to improve reliability and speed
Ensure security best practices, compliance, and cost optimization across cloud environments
Troubleshoot production incidents and perform root-cause analysis

Required Skills & Qualifications

7+ years of DevOps experience with strong hands-on expertise in Azure and AWS
Mandatory: 3+ years of AI/ML experience supporting ML pipelines, model deployment, or MLOps workflows in production environments
Mandatory: Strong Java and Spring Boot skills understanding application architecture, build/deployment requirements, and troubleshooting at the code level
Strong experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, AWS CodePipeline)
Proficiency in Infrastructure as Code (Terraform, CloudFormation, ARM/Bicep templates)
Hands-on experience with containerization and orchestration (Docker, Kubernetes, AKS, EKS)
Scripting experience (Python, Bash, PowerShell) for automation
Experience with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, Azure Monitor)
Solid understanding of networking, security, and identity/access management in cloud environments
Experience with version control (Git) and artifact repositories (Nexus, Artifactory, ECR, ACR)
Strong troubleshooting, collaboration, and communication skills

Preferred Qualifications

Azure/AWS certifications (Azure DevOps Engineer Expert, AWS Certified DevOps Engineer)
Experience with MLOps platforms (MLflow, Kubeflow, SageMaker Pipelines, Azure ML)
Familiarity with message queues/event streaming (Kafka, RabbitMQ, Azure Service Bus, SQS)
Experience with GitOps tools (ArgoCD, FluxCD)
Exposure to microservices deployment patterns and service mesh (Istio, Linkerd)

Suggested Skills (Good to Have)

DevOps / Cloud

Multi-cloud deployment strategy and hybrid cloud management
Cost optimization and FinOps practices across Azure/AWS
Serverless architecture (AWS Lambda, Azure Functions)
Secrets management (HashiCorp Vault, Azure Key Vault, AWS Secrets Manager)
Chaos engineering / resilience testing tools

AI/ML Related

Experience deploying containerized ML models (TorchServe, TensorFlow Serving, KFServing)
Familiarity with vector databases and RAG-based application deployment
Understanding of GPU-based compute provisioning for ML workloads (AWS SageMaker, Azure ML Compute)
Model monitoring/observability (drift detection, performance tracking)

Java / Spring Boot

Experience with Spring Cloud (config server, service discovery, gateway)
Understanding of JVM performance tuning and profiling
Familiarity with build tools (Maven, Gradle) and dependency management

Soft Skills

Strong cross-functional collaboration with development and data science teams
Incident management and on-call rotation experience
Documentation and knowledge-sharing practices

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10472679
Position Id: 9027060
Posted 1 day ago

Senior Java Developer

Hybrid in Austin, Texas

•

2d ago

Key ResponsibilitiesDesign, develop, and maintain enterprise-grade Java applications and microservicesArchitect and implement backend systems integrating AI/ML models into production applicationsDesign and optimize complex PostgreSQL database schemas, queries, and stored proceduresCollaborate with data science teams to operationalize ML models (model serving, inference pipelines, monitoring)Write clean, efficient, well-tested code following best practices (SOLID, design patterns, TDD)Participate

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Senior DevOps Azure/AWS

Skills

Summary

About the Role

Key Responsibilities

Required Skills & Qualifications

Preferred Qualifications

Suggested Skills (Good to Have)

Dice Job Match Score™

Rajini Balakrishnan

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Senior DevOps Azure/AWS

Job Details

Skills

Summary

About the Role

Key Responsibilities

Required Skills & Qualifications

Preferred Qualifications

Suggested Skills (Good to Have)

Dice Job Match Score™

Rajini Balakrishnan

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