Application Architect Java, Python/Django, AWS

Job: Application Architect Java, Python/Django, AWS

Location: Remote - PST

Duration: 12 Months

Job Summary:

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, proficient in Python and Django, well-versed in modern architectural patterns, and have extensive working knowledge of AWS cloud services.

Here's how you'll contribute:

• 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.
• Proficiency in AI, machine learning, data engineering, and software development.
• Be hands-on with coding in Java (latest versions) and Python/Django, guiding teams on best practices across both stacks.
• Define and enforce coding standards, performance tuning, and best practices.
• Select appropriate AWS 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, Python/Django advancements, AWS services, and emerging architectural trends.

Core Skills:

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.
• Solid experience in Python, with practical knowledge of Django for building scalable web applications.
• In-depth experience in designing and implementing microservices-based systems.
• Strong understanding of architectural patterns for developing AI systems and applications.
• Secure cloud architecture: Experience designing or managing secure architectures for processing sensitive and controlled unclassified information (CUI) on AWS GovCloud.
• 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.

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Preferred Qualifications

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

Desired Skills:

• 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)
• Prompt engineering and fine-tuning
• Use of embedding stores and vector databases (e.g., Pinecone, Redis, Azure AI Search)
• Building intelligent features like AI-powered chatbots and assistants
• Awareness of agentic AI concepts
• Familiarity with tools like LangChain, Semantic Kernel, or Azure OpenAI
• Appreciation for ethical AI considerations including data privacy, security, and bias mitigation