Java Google Cloud Platform cloud engineer

Overview

On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

dataflow
GCP
Java
spring boot
AWS
REstful APis
CICD pipelines
NoSQL
UI
javascript
react
Spring
Technical lead

Job Details

Seeking a Data centric Java development consultants for hybrid contract opportunity with my direct client in Richfield MN.

If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for onsite/hybrid work , skill stack and LinkedIn.

Seeking Local candidates Minnesota based open for willing to relocate

Tell us about your department:

The DAT Personalized Communications team designs, builds, integrates, operates and maintains the internal and third-party systems that enable the setup and delivery of all promotional and transactional customer communications (B2C) across email, text, mobile push and direct mail communication channels.

Position Summary/Job Description:

We are looking for a highly skilled Individual Contributor with strong expertise in Java, Spring Framework, Google Cloud Platform (Google Cloud Platform), AWS (Amazon Web Services), and at least 3 years of experience in Google Cloud Platform Dataflow with large-scale applications. The candidate will be pivotal in providing technical solutions, designing system architecture, and leading the team's technical direction while working as an individual contributor.

Skills Overview:

Experience

  • Minimum 12+ years of professional experience in software development
  • At least 3 years of experience with Dataflow and large-scale application development.
  • Proven experience with Java and Spring Framework
  • 5+ years of Hands-on experience with Google Cloud Platform (Google Cloud Platform) and AWS (Amazon Web Services)
  • Technical design and solution experience of at least 5 years
  • Technical Skills:
  • String proficiency in Java and Spring Boot.
  • Solid experience with Dataflow for large-scale data processing
  • Proficiency in cloud services and architectures on Google Cloud Platform and AWS
  • Knowledge of microservices architecture, Restful APIs, and CI/CD Pipelines.
  • Experience with NoSQL and Relational Databases

  • Excellent problem-solving and analytical skills.
  • Strong leadership and communication abilities
  • Ability to work independently and as part of a collaborative team.

Key Responsibilities:

Technical Leadership:

  • Provide technical guidance and solutions to complex problems.
  • Lead the team in technical direction, ensuring best practices in coding and architecture.
  • Collaborate with cross-functional teams to align technical strategy with business goals

Design & Architecture:

  • Design scalable, resilient, and high-performance systems using Java and Spring.
  • Architect solutions on Google Cloud Platform and AWS cloud platforms with a focus on large-scale data processing.

Development & Implementation:

  • Develop high-quality, maintainable, and efficient code using Java and Spring.
  • Implement complex data processing solutions using Dataflow in Google Cloud Platform.
  • Ensure integration and deployment pipelines are optimized for cloud environments (Google Cloud Platform and AWS)

Individual Contribution:

  • Lead by example as an individual contributor, driving high coding and design standards.
  • Conduct code reviews, mentoring team members on coding standards and best practices

Collaboration & Communication:

  • Work closely with Product Managers, Architects, Other Engineers to define technical solutions and deliver high-quality products.
  • Communicate technical concepts effectively to non-technical stakeholders.

Interview Process Overview:2 rounds of Coding and technical interview

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