Java /GCP Architect at Rapideagle
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

18 Sep, 25

Salary

160000.0

Posted On

19 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

User Experience, Dental Insurance, Automation, Architectural Patterns, Business Workflows, Kafka, Data Privacy, Infrastructure, Java, Scalability, Emerging Technologies, Decision Making, Security, Redis, Health Insurance, Intelligence, Management Skills, Orchestration

Industry

Computer Software/Engineering

Description

JOB DESCRIPTION:

We are looking for a highly experienced and hands-on Software Architect with around 15 years of industry experience to lead the design and development of scalable, robust, and cloud-native systems. The ideal candidate will be an expert in Java, well-versed in modern architectural patterns, and have extensive working knowledge of GCP cloud services.

REQUIRED SKILLS & QUALIFICATIONS

  • ~15 years of software development experience with at least 5 years in a software architect role.
  • Strong expertise in Java, including recent versions (Java 17/21+), with hands-on coding ability.
  • In-depth experience in designing and implementing microservices-based systems.
  • Strong understanding of architectural patterns like CQRS, Event Sourcing, SAGA, and Domain-Driven Design (DDD).
  • Extensive experience with GCP cloud ecosystem
  • Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS).
  • Strong system design and problem-solving skills.
  • Proficiency in CI/CD tools and DevOps practices.
  • Strong communication and stakeholder management skills.
  • Experience in leading technical teams and mentoring developers.

PREFERRED QUALIFICATIONS

  • GCP Certification (Solutions Architect – Associate/Professional) is a plus.
  • Experience with Infrastructure as Code (IaC) using Terraform or GCP CDK.
  • Exposure to data streaming platforms like Kafka is a bonus.
  • Background in performance optimization, scalability, and security best practices.

KNOWLEDGE OF AI AND EMERGING TECHNOLOGIES (GOOD TO HAVE)

  • Understanding of how AI capabilities can be integrated into enterprise applications to enhance user experience, decision-making, and automation.
  • Exposure to modern AI application patterns such as:
  • Retrieval-Augmented Generation (RAG) for augmenting LLMs with domain-specific knowledge.
  • Prompt engineering and fine-tuning for tailoring model behavior to business-specific contexts.
  • Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search) to support semantic search and recommendation systems.
  • Building intelligent features like AI-powered chatbots, assistants, and question-answering systems using LLMs and conversational agents.
  • Awareness of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment.
  • Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain, Semantic Kernel, or Azure OpenAI.
  • Appreciation for ethical AI considerations including data privacy, security, and bias mitigation.
  • Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into real-world business workflows.
    Job Types: Full-time, Contract
    Pay: $120,000.00 - $160,000.00 per year

Benefits:

  • Dental insurance
  • Health insurance

Schedule:

  • 8 hour shift

Work Location: Remot

How To Apply:

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Responsibilities
  • Lead the architecture, design, and development of large-scale, distributed systems.
  • Work closely with product and engineering teams to define architecture blueprints and technology roadmaps.
  • Develop high-level and low-level design documents.
  • Be hands-on with coding in Java (latest versions) and guide teams on best practices.
  • Drive adoption of modern architecture principles like Microservices, Event-Driven Architecture, CQRS, and SAGA patterns.
  • Define and enforce coding standards, performance tuning, and best practices.
  • Select appropriate GCP services and design cloud-native architectures with cost, scalability, and security in mind.
  • Conduct design and code reviews to ensure quality and performance.
  • Mentor and guide engineering teams on architectural decisions and technical challenges.
  • Stay updated with new Java features, GCP services, and emerging architectural trends.
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