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NucleusTeq

AI-driven enterprise software and data modernization

Technical Lead - Java

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 12 years of core software engineering experience, with expert-level proficiency in Java and Spring Boot.
  • 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, such as GKE, Cloud Run, Cloud Pub/Sub, Cloud SQL, Bigtable, or Spanner.
  • Strong problem-solving ability and deep expertise in data structures, algorithms, and system design.

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 code reviews, establish engineering best practices, and mentor junior- to mid-level engineers.
  • Apply data structures and algorithms to optimize performance, reduce execution latency, and minimize memory usage across critical pipelines.
  • Lead or partner on complex data migration projects, transitioning legacy datastores to modern cloud databases with zero data loss and minimal downtime.

Desired Qualifications

  • Experience executing large-scale database migrations, including relational database management systems to NoSQL and on-premises to Google Cloud Platform datastores, using zero-downtime strategies.
  • Practical knowledge of Docker, Kubernetes, Terraform, and automated continuous integration and continuous delivery pipelines.

About the Company

NucleusTeq

AI-driven enterprise software and data modernization

NucleusTeq delivers AI-powered software services and products to large enterprises, focusing on data modernization, cloud migration, and enterprise automation. Its flagship NuoData platform provides end-to-end data modernization, governance, and analytics to reduce integration costs and simplify data management. The company distinguishes itself through partnerships with AWS, Google Cloud, Microsoft Azure, and Snowflake, plus an experienced leadership team and a global delivery network. Its goal is to help Fortune 500 and 1000 firms upgrade legacy systems and speed digital transformation using AI-driven solutions.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Phoenix, AZ
Founded
2018

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