Associate Java Architect

As an Associate Java Architect at tkxel, you will contribute to the design and evolution of scalable, resilient, and maintainable systems across enterprise, IoT, and data-driven domains. This is a hands-on technical leadership role for someone with strong Java engineering depth, solid architectural thinking, and the ability to guide teams in building future-ready systems.

You will work closely with Java Architects, Solution Architects, DevOps engineers, Product Owners, and engineering teams to design clean, secure, and scalable solutions using modern Java technologies.

• Design and contribute to modular, resilient application architectures using Java 17+, Spring Boot, and Spring Cloud.
  
• Apply domain-driven design, event-driven architecture, and microservices patterns to improve scalability and maintainability.
  
• Provide technical guidance on JVM behavior, garbage collection, threading, concurrency, and application performance.
  
• Support Java performance profiling, memory leak analysis, and application-level optimization.
  
• Evaluate trade-offs between blocking and non-blocking I/O, synchronous and asynchronous flows, and reactive programming models.
  
• Architect and implement real-time data ingestion and integration flows using Kafka, MQTT, WebSockets, gRPC, or similar technologies.
  
• Contribute to IoT backend systems that process high-volume sensor and device events with a focus on reliability, latency, and scalability.
  
• Integrate backend services with relational databases, NoSQL databases, time-series databases, data lakes, and analytics platforms.
  
• Collaborate with data engineering and AI/ML teams to define APIs, data contracts, and event schemas that support analytics and intelligent systems.
  
• Promote observability, distributed tracing, event traceability, and effective monitoring across services.
  
• Identify potential bottlenecks through code reviews, architectural reviews, load testing, and performance analysis.
  
• Advocate for clean architecture, SOLID principles, secure coding, and maintainable engineering practices.
  
• Design systems with resilience patterns such as graceful degradation, retries, circuit breakers, and idempotent service behavior.
  
• Mentor engineers on system design, code quality, performance tuning, and refactoring decisions.
  
• Collaborate with Solution Architects, DevOps, and Product Owners to balance technical quality, delivery speed, and business goals.
  
• Participate in technical discovery and pre-sales discussions to help evaluate client requirements, risks, and possible solution approaches.
  
• Stay updated on the Java ecosystem, including Project Loom, Virtual Threads, GraalVM, and modern cloud-native practices.
  
• Support modernization initiatives for legacy Java systems, including migration to cloud-native, containerized, or serverless architectures.
  

• 7+ years of professional software development experience, including 2+ years in a technical leadership, system design, or architecture-focused role.
  
• Strong command of Java 17+, Spring Boot, Spring Cloud, JPA/Hibernate, and RESTful API design.
  
• Solid understanding of concurrency, JVM performance tuning, design patterns, and functional programming concepts in Java.
  
• Hands-on experience with microservices, API gateways, distributed systems, and service-to-service communication.
  
• Experience with distributed tracing and monitoring tools such as Zipkin, Jaeger, Prometheus, Grafana, ELK, or similar stacks.
  
• Cloud-native experience with AWS, Azure, or GCP, preferably with Kubernetes or container orchestration platforms.
  
• Proficiency with relational databases, NoSQL databases, and preferably time-series databases.
  
• Familiarity with CI/CD pipelines, GitOps practices, and modern DevOps workflows.
  
• Exposure to IoT protocols such as MQTT or CoAP is a strong plus.
  
• Experience with reactive frameworks such as Spring WebFlux or Vert.x is a plus.
  
• Understanding of real-time data streaming platforms such as Kafka; AWS Kinesis experience is a plus.
  
• Strong analytical and problem-solving mindset with the ability to identify patterns, root causes, and long-term solutions.
  
• Excellent communication skills with the ability to align engineering decisions with business goals.
  
• Mentorship-driven, collaborative, and comfortable working in cross-functional agile teams.