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Technical Lead - Java

nucleusteq

New
Senior 🇬🇧 English
Java Spring Boot Microservices RESTful APIs Event-driven architectures Distributed systems Google Cloud Platform GKE Cloud Run Cloud Pub/Sub Cloud SQL Bigtable Spanner Data structures Algorithms System design Data migration Docker Kubernetes Terraform CI/CD pipelines

Job description

About the role

We are seeking a Lead Java Developer to design, build, and scale high‑throughput, cloud‑native backend applications. In this role you will lead engineering efforts focused on microservices architectures on Google Cloud Platform, drive architectural decisions, and ensure operational excellence while mentoring the team.

Key responsibilities

  • Design and build scalable, secure, and resilient microservices using Java and Spring Boot.
  • Architect and manage cloud‑native systems on Google Cloud Platform, optimizing resource usage, deployment pipelines, and service communications.
  • Lead technical discussions, conduct rigorous code reviews, establish engineering best practices, and mentor junior to mid‑level engineers.
  • Apply advanced data structures and algorithms to optimize performance, lower execution latencies, and minimize memory footprints across critical pipelines.
  • Lead or partner on complex data migration projects, transitioning legacy datastores into modern cloud databases with zero data loss and minimal downtime.

Required profile

  • 12+ years of core software engineering experience with expert‑level proficiency in Java and Spring Boot.
  • Proven experience designing, building, and operating RESTful APIs, event‑driven architectures, and distributed systems.
  • Hands‑on experience deploying and managing backend services on Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Pub/Sub, Cloud SQL, Bigtable, Spanner).
  • Strong problem‑solving ability with deep expertise in data structures, algorithms, and system design.

Required skills

  • Java
  • Spring Boot
  • Microservices
  • RESTful APIs
  • Event‑driven architectures
  • Distributed systems
  • Google Cloud Platform (GKE, Cloud Run, Cloud Pub/Sub, Cloud SQL, Bigtable, Spanner)
  • Data structures and algorithms
  • System design
  • Data migration
  • Docker
  • Kubernetes
  • Terraform
  • CI/CD pipelines

What we offer

  • Work on cutting‑edge cloud data projects.
  • Leadership opportunity with high ownership.
  • Dynamic and growth‑oriented work environment.

Questions fréquentes

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Source : ats:breezy

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Published 14 hours ago

Expires 1 month from now

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