AWS Cloud Engineer

Overview

On Site
Accepts corp to corp applications
Contract - Full Time

Skills

J2EE
SQL
Core Java
AWS
Spring Boot
Microservices
Kubernetes

Job Details

Position: AWS Cloud Engineer

Location: San Diego, CA - Hybrid

Job Mode: Full Time

Must Have: AWS, Core Java, J2ee, Spring Boot, Microservices, SQL, Kubernetes

Job Description:

  • Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant experience
  • Lead and manage a team of engineers and Sr. Engineers by providing guidance, mentorship, and fostering a collaborative work environment.
  • Define and communicate the engineering team's vision, mission, and goals.
  • Stay abreast of emerging technologies and industry trends, assessing their potential impact on the organization.
  • Collaborate with client stakeholders to understand project requirements and ensure the successful design, development and execution of the product\project\deliverables

Mandatory Skills:

  • Possess excellent written and verbal communication skills.
  • Hands on with Core Java/ J2ee (Spring, Hibernate, MVC)
  • Experience working on Microservices.
  • Good experience on AWS Cloud, MSK, Kinesis, Lamda
  • Good hands-on experience on AWS Glue using Apache Spark, Amazon EMR
  • Good experience on container orchestration system like Kubernetes, ECS
  • Good working knowledge in SPRING Framework & Spring Boot
  • Good experience in Kafka and other messaging systems like RabbitMQ
  • Hands on with Rest based web services
  • Hands on with SQL queries and MySQL experience any one RDBMS
  • Testing experience in JUnit/Spock/Groovy any one
  • Design Patterns, Design Principles
  • Experience in GIT & Maven
  • Experience in writing design document and good experience on UML.
  • Handling experience in AWS in data engineering project

Good to Have:

  • Test Automation
  • Experience of working in Agile environment
  • Experience of Code Quality Tools like Sonar, Check style, Findbug
  • Experience of working on DevOps and related toolsets
  • Experience in client facing role
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.