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).
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).
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.