Principal Java Architect for Scalable IoT & Data Systems

Tkxel; Pakistan; On-site; PKR 2,400,000 - 4,800,000; Full time

Job summary

Tkxel is seeking a Principal Software Engineer to lead the design and evolution of scalable, resilient Java systems across enterprise, IoT, and data‑driven domains. You will guide teams in building future‑ready architectures and work closely with architects, DevOps, and product owners to deliver secure, scalable solutions.

With strong Java depth and architectural thinking, you will mentor engineers, optimize performance, and drive real‑time data ingestion pipelines using Kafka and related tech.

Qualifications

• 7+ years of professional software development experience.
• 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 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.

Responsibilities

• Design modular, resilient architectures using Java 17+, Spring Boot, and Spring Cloud.
• Apply domain-driven design, event-driven architecture, and microservices patterns.
• Provide technical guidance on JVM behavior, garbage collection, threading, concurrency, and performance.
• Support Java performance profiling, memory leak analysis, and optimization.
• Architect and implement real‑time data ingestion and integration flows with Kafka, MQTT, WebSockets, gRPC.
• Contribute to IoT backend systems handling high‑volume sensor events for reliability and latency.
• Integrate backend services with relational/NoSQL/time‑series databases, data lakes, and analytics platforms.
• Collaborate with data engineering and AI/ML teams on APIs, data contracts, and event schemas.
• Promote observability, distributed tracing, event traceability, and monitoring across services.
• Identify bottlenecks through reviews, load testing, and performance analysis.
• Advocate for clean architecture, SOLID, secure coding, and maintainable practices.
• Design resilience patterns: retries, circuit breakers, and idempotent services.
• Mentor engineers on system design, code quality, and performance tuning.
• Balance technical quality with delivery speed in collaboration with stakeholders.

Skills

Java 17+

Spring Boot

Spring Cloud

JPA/Hibernate

REST API design

Concurrency

JVM performance

Microservices

Distributed tracing

Cloud platforms

Kubernetes

Tools

Zipkin

Jaeger

Prometheus

Grafana

ELK

CI/CD

GitOps

Job description

Tkxel is seeking a Principal Software Engineer to lead the design and evolution of scalable, resilient Java systems across enterprise, IoT, and data‑driven domains. You will guide teams in building future‑ready architectures and work closely with architects, DevOps, and product owners to deliver secure, scalable solutions.

With strong Java depth and architectural thinking, you will mentor engineers, optimize performance, and drive real‑time data ingestion pipelines using Kafka and related tech.