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

• 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

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.