Java Architect with AWS

Software Architect – Java & AWS

Location: Remote

Fulltime only

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.

Key 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.

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.