Javascript Solution Architect

3 days ago

Kochi Kerala, India DBiz AI Solutions Full time

**Key Responsibilities**:

- 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**, **Nest.js/Express**, and Node.js.
- 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).
- 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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