NucleusTeq
Technical Lead - Java
Skills
Job description
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 (GCP) , drive architectural decisions, and ensure operational excellence. You will also serve as a technical mentor for the team, demanding high coding standards and deep problem-solving skills grounded in strong Data Structures and Algorithms .
Key Responsibilities
Architecture & Development: Design and build scalable, secure, and resilient microservices using Java and Spring Boot.
Cloud Infrastructure: Architect and manage cloud-native systems on Google Cloud Platform(GCP) , optimizing resource usage, deployment pipelines, and service communications.
Technical Leadership: Lead technical discussions, conduct rigorous code reviews, establish engineering best practices, and mentor junior to mid-level engineers.
Algorithmic Optimization: Apply advanced Data Structures and Algorithms to optimize performance, lower execution latencies, and minimize memory footprints across critical pipelines.
Data Migration Strategy: Lead or partner on complex data migration projects , transitioning legacy datastores into modern cloud databases with zero data loss and minimal downtime.
Required Qualifications
Java Mastery: 12+ years of core software engineering experience, with expert-level proficiency in Java and Spring Boot.
Microservices Expertise: Demonstrated experience designing, building, and operating RESTful APIs, event-driven architectures, and distributed systems.
Cloud Native (GCP): Hands-on experience deploying and managing backend services on Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Pub/Sub, Cloud SQL, Bigtable, or Spanner).
Computer Science Foundations: Superior problem-solving ability with deep expertise in DataStructures , Algorithms , and System Design.
Preferred Qualifications
Data Migration: Proven track record of executing large-scale database migrations (RDBMS to NoSQL, on-premise to GCP cloud datastores) with zero-downtime strategies.
DevOps & CI/CD: Practical knowledge of Docker, Kubernetes, Terraform, and automated CI/CD pipelines.
Why Join Us?
Work on cutting-edge cloud data projects.
Leadership opportunity with high ownership.
Dynamic and growth-oriented work environment.