Javascript Solution Architect

13 hours ago

Ernakulam, India DBiz ai solutions Full time

Key Responsibilities:

  • Architect and lead the design of modern web applications using JavaScript-based technologies like React and
  • Define and maintain architecture blueprints, technology standards, and design guidelines.
  • Design scalable, secure microservices using event-driven and REST-based approaches.
  • Lead cloud-native solution development using AWS services such as ECS/EKS, Lambda, API Gateway, DynamoDB, RDS, and S3.
  • Drive DevOps enablement by embedding CI/CD pipelines, IaC (Terraform/CDK), and monitoring practices into the development lifecycle.
  • Guide teams on integrating Generative AI capabilities (e.g., GPT/LLMs, vector databases, embedding-based search) into existing systems and new products.
  • Collaborate with product managers, developers, and DevOps engineers across the SDLC to ensure technical soundness and delivery success.
  • Conduct technical evaluations, risk assessments, and trade-off analysis for architectural decisions.

Required Skills & Experience:

  • 14+ years of overall experience in software engineering and architecture.
  • Strong hands-on experience with JavaScript/TypeScript, including React/Angular, , and
  • Proven expertise in designing microservices and event-driven architectures using tools such as Kafka, SNS/SQS, or similar.
  • Strong background in data modelling for transactional and analytical workloads (relational and NoSQL).
  • Solid foundation in AWS Cloud Architecture and usage of core services (EC2, ECS, Lambda, RDS, API Gateway, etc.).
  • Experience with DevOps tools and practices (Docker, Kubernetes, GitHub Actions, Terraform/CDK).
  • Understanding of Generative AI principles and experience in leveraging LLMs or vector databases in real-world applications.
  • Strong communication and leadership skills to drive alignment between technical and business teams.
  • Ability to document and present architecture decisions to both technical and non-technical stakeholders.

Nice to Have:

  • AWS Certification (e.g., Solutions Architect – Associate/Professional).
  • Experience with serverless frameworks and edge computing (e.g., Vercel, Cloudflare Workers).
  • Familiarity with LLMOps and operationalizing AI/ML models.
  • Exposure to GraphQL, WebSockets, or API gateway patterns.
  • Experience with observability tools (Prometheus, Grafana, CloudWatch).
  • Experience/exposure in designing modern data platforms (e.g., data lakes, lakehouses, real-time analytics pipelines).

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