Genzeon Corporation
.Net Architect
Tech Lead/Architect providing architectural oversight for event-driven, serverless data integration solutions on AWS, designing Kafka-based streaming pipelines, running design workshops, and translating non-functional requirements into technical decisions.
- Compensation
- Not disclosed
- Location
- Shaikpet, India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Architecture
- Posted
Skills
Must have
- Solution architecture: Experience designing event-driven, serverless data integration solutions on AWS (Lambda, Step Functions, EventBridge, API Gateway); ability to produce HLDs and LLDs that align w
- Kafka & streaming architecture: Understanding of Kafka topic design, partitioning strategies, schema evolution, consumer group patterns, and how Kafka fits into a broader data warehouse ingestion pipe
- KDD facilitation: Experience running design workshops, documenting key design decisions with options and trade-offs, and driving consensus across engineering and product stakeholders; comfortable maki
- API integration patterns: Familiarity with pagination strategies, cursor-based incremental fetching, idempotency patterns, and failure isolation in multi-source batch integrations; experience leveragi
- NFR alignment: Ability to translate non-functional requirements (availability, performance, security, observability) into concrete technical decisions and acceptance criteria; experience applying thes
Full description
JD
Tech Lead / Architect Exp: 8 to 15 Years
The Tech Lead provides architectural oversight, facilitates key design decisions, and ensures alignment between the delivery team and the Client's architecture and platform standards.
Required Skills:
- Solution architecture: Experience designing event-driven, serverless data integration solutions on AWS (Lambda, Step Functions, EventBridge, API Gateway); ability to produce HLDs and LLDs that align with enterprise platform standards and AWS Well-Architected principles.
- Kafka & streaming architecture: Understanding of Kafka topic design, partitioning strategies, schema evolution, consumer group patterns, and how Kafka fits into a broader data warehouse ingestion pipeline; familiarity with Amazon MSK (Managed Streaming for Kafka) including broker configuration and MSK vs. self-managed trade-offs.
- KDD facilitation: Experience running design workshops, documenting key design decisions with options and trade-offs, and driving consensus across engineering and product stakeholders; comfortable making and recording architectural choices involving AWS service selection.
- API integration patterns: Familiarity with pagination strategies, cursor-based incremental fetching, idempotency patterns, and failure isolation in multi-source batch integrations; experience leveraging AWS services such as SQS, DynamoDB, and Secrets Manager to support resilient, stateful integration designs.
- NFR alignment: Ability to translate non-functional requirements (availability, performance, security, observability) into concrete technical decisions and acceptance criteria; experience applying these through AWS-native tooling including CloudWatch, X-Ray, IAM, KMS, and VPC controls.