Java Developer

Altitude Technology Solutions Inc
Wilmington, DE, United States
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Amazon S3 Microsoft Azure Cloud Computing Cloud Engineering Computer Engineering Continuous Integration Extract Transform Load (ETL) Software Design Patterns Distributed Data Store
+21 more
Monitoring of Systems Shell Script Software Construction Software Engineering Data Streaming Enterprise Software Applications Spring Cloud Large Language Models Apache Spark Spring-boot Software Application Programming Generative AI Amazon Relational Database Service Kubernetes Information Technology Cassandra Production Code Functional Programming Amazon Simple Queue Service (SQS) Terraform Microservices

Requirements

Must be working with Banking/Financial client In person interview required Experience: 10+ years Must Have Skills

  • Extensive hands-on experience with Java Spring Boot.
  • Strong experience designing and developing applications using Microservices Architecture.
  • Proven expertise in Java and Spring Boot for enterprise application development.
  • Experience with AWS services such as SQS, Lambda, S3, and RDS.
  • Experience working with Kubernetes and containerized application deployments.
  • Strong knowledge of Cassandra or other large-scale distributed databases.
  • Develops secure, scalable, and high-quality production code; reviews and debugs code written by others.
  • Drives decisions that influence product design, application functionality, and technical operations/processes.
  • Strong understanding of software engineering best practices, design patterns, and CI/CD pipelines.

Nice to Have Skills

  • Experience with Shell Scripting and Unix/Linux systems.
  • Proficiency in Terraform for Infrastructure as Code (IaC) and cloud infrastructure management.
  • Familiarity with modern LLM/Generative AI techniques and practical solution development using Azure OpenAI.
  • Experience with monitoring and observability tools in cloud-native environments., * Formal training or certification in Software Engineering concepts with 7+ years of applied experience.
  • Bachelor’’s degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Strong experience building and supporting highly available, distributed, cloud-native applications.
  • Experience working in Agile environments and collaborating across multiple technology teams.

Core Technologies

  • Microservices Architecture
  • Java
  • Spring Boot
  • Apache Spark
  • Cassandra
  • Kubernetes
  • AWS (SQS, Lambda, S3, RDS)
  • ETL & Streaming Pipelines
  • Terraform
  • Unix/Linux

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