> Markdown version of [/jobs/ext/4548089-senior-java-engineer-kafka-mongodb-kubernetes-multi-cloud](https://www.wearedevelopers.com/jobs/ext/4548089-senior-java-engineer-kafka-mongodb-kubernetes-multi-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Java Engineer Kafka, MongoDB, Kubernetes & Multi-Cloud

- **Company:** Tech Inc
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Microsoft Azure, Cloud Computing, Data Architecture, Software Debugging, Software Design Patterns, Disaster Recovery, Java Architectures, Java Web Services, MongoDB, Object-Oriented Software Development, Performance Tuning, Scrum Methodology, Query Optimization, Software Engineering, Systems Architecture, Systems Integration, UML, Test-Driven Development (TDD), Multi-Cloud, Technical Debt, Indexer, Event Driven Architecture, Kubernetes, Information Technology, Low Latency, Deployment Automation, Extreme Programming, Enterprise Integration, Apache Kafka, Asynchronous Programming, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/754aac1e-76c6-491f-a8bf-6db8185ad11c

## About the Role

Bachelor s degree in Computer Science, Electronics, Engineering, or a related field

Overall IT experience

Minimum 5+ years in software development/engineering

Target experience band

5 7 years in the offered role or equivalent software development/engineering experience

Java

3+ years

Kafka

3+ years

MongoDB

2+ years

Multi-cloud

3+ years of exposure or working knowledge

Required combined stack

Java + Kafka + MongoDB + Kubernetes + Multi-Cloud, with Azure

Methodologies

Agile, Scrum, Kanban, and/or Extreme Programming (XP)

Onsite Interview in Dallas, TX

Mandatory Skills

Java engineering

 * Strong Core Java and object-oriented analysis and design (OOAD)
 * Java design patterns and enterprise integration design patterns
 * UML-based design and documentation
 * Test-driven development (TDD)
 * Writing, testing, and documenting production-quality code, scripts, and processes
 * Debugging, root-cause analysis, performance tuning, and technical-debt reduction

Kafka and event-driven systems

 * Kafka producers, consumers, topics, partitions, consumer groups, offsets, and delivery semantics
 * Event-driven and streaming architecture
 * Kafka integration with Java/Spring-based microservices
 * Handling replay, idempotency, ordering, backpressure, schema evolution, and failure recovery
 * Designing resilient, scalable asynchronous communication between services

MongoDB and data design

 * MongoDB data modeling, indexing, aggregation, and query optimization
 * Schema design for evolving application needs
 * Data consistency, replication, backup, and recovery considerations
 * Integration of MongoDB with Java services

Kubernetes and cloud-native delivery

 * Kubernetes deployment, services, scaling, configuration, secrets, and operational troubleshooting
 * Containerized microservices and cloud-native application design
 * Disaster-recovery design and development
 * Scaling, latency, durability, availability, and failure-mode planning
 * Security-conscious design early in the system lifecycle

Multi-cloud and Azure

 * Multi-cloud architecture, portability, governance, resilience, and vendor-lock-in considerations
 * Azure working knowledge is explicitly required
 * Cloud networking, identity, storage, compute, monitoring, and security fundamentals
 * Cross-cloud disaster recovery, environment parity, observability, and deployment strategies
 * Ability to make trade-offs among cost, reliability, managed services, and portability.

## Description

* Microservices and distributed-system architecture
 * REST/API and enterprise integration patterns
 * System integration across product domains
 * Reusable component/library design and reduction of duplicated effort
 * Technical-risk assessment and practical prevention strategies
 * Coaching junior engineers and identifying individual development areas
 * Leading prototypes and evaluating emerging technologies with minimal guidance
 * Improving squad delivery practices and influencing engineering leadership