Recently postedTechnology

Senior Java Cloud Engineer Azure, Microservices & DevOps

Tech Genius, IncDallas, TX🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeOn Site

LocationDallas, TX, United States

DockerFastAPIMicroservicesMongoDBSpringSpring BootGitScrumBashGitHub ActionsGraphQLJavaPowerShellPythonRESTAzurePostgreSQLKubernetesAgileCI/CDSystem Design

Job description

Required Experience

Area	Requirement
Overall experience	8 9 years
Core stack	Java/J2EE, Microsoft Azure, Agile, FastAPI, DevOps & Automation
Java	Strong Core Java and Java 17+ expertise; Spring Boot 3 for API development
APIs	REST and GraphQL experience, including Apollo and/or Spring GraphQL
Cloud	Practical Azure experience: AKS, VNet, private networking, security configuration, Event Hub, Cosmos DB (MongoDB API), and Azure PostgreSQL
Containers	Docker and container-based development; hands-on AKS experience
DevOps	Advanced GitHub Actions for build, test, and deployment; Git, GitHub, CloudSmith
Architecture	Proven microservices and distributed-systems design experience
Observability	Dynatrace APM/monitoring; logging with Dynatrace and Mezmo
Preferred	Azure certification such as AZ-204 or AZ-305; event-driven/streaming architecture; cloud cost optimization; technical mentoring/leadership

Onsite Interview in Dallas, TX

Mandatory Skills

Java and backend engineering

Java 17+ and strong Core Java fundamentals
Spring Boot 3 for production API services
RESTful API design and integration patterns
GraphQL using Apollo or Spring GraphQL
FastAPI for Python-based service development
Writing, testing, documenting, and maintaining code, scripts, and technical processes
Debugging, root-cause analysis, concurrency, performance, latency, durability, and scalability

Azure and cloud-native architecture

Azure Kubernetes Service (AKS)
Docker and containerized application deployment
Azure networking: VNet, private endpoints/private networking, and security configurations
Azure Event Hub for event/streaming workloads
Azure Cosmos DB using the MongoDB API
Azure PostgreSQL
Cloud-native security practices and secure coding
Design for scale, reliability, resilience, and cost efficiency

DevOps and automation

GitHub Actions CI/CD pipelines: build, test, deploy
Git and GitHub workflows
CloudSmith for artifact/package management
Scripting and automation with Bash, Python, PowerShell, or similar
Infrastructure-aware deployment, configuration, and release practices

Architecture and system design

Microservices architecture and service-boundary design
Distributed-systems patterns, integration patterns, and API contracts
Technical-debt identification and reduction
Reusable components, shared libraries, and cross-team platform thinking
Scalability, latency, durability, and failure-mode analysis
Security-by-design and early lifecycle security collaboration

Observability and quality

Dynatrace for application performance monitoring and troubleshooting
Dynatrace and Mezmo for centralized logging and observability
Production readiness, monitoring, alerting, and incident analysis
High-quality engineering practices, code review, testing, and documentation

Leadership and collaboration

Coaching junior engineers on technical craftsmanship
Leading root-cause analysis and driving corrective actions
Evaluating technical risk and recommending practical mitigation
Improving squad delivery practices and influencing engineering leadership
Reducing duplicated effort and promoting reuse across teams
Agile/Scrum collaboration, strong communication, and cross-functional partnership