.Net Developer

Genzeon Technology Solutions; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Genzeon Technology Solutions in Hyderabad is seeking a Dev / Senior Developer to lead the development of Lambda services, the shared client library, and Kafka producer tooling. The role demands strong backend engineering with hands-on AWS serverless experience.

You will design robust services, implement scalable data pipelines, and collaborate across teams using AWS Lambda, DynamoDB, and Kafka ecosystems. Prior experience with AVRO schemas, Schema Registry, and monitoring is valued.

Qualifications

• 4+ years production experience with the primary Lambda runtime; clean, testable code with proper error handling and logging.
• Hands-on AWS Lambda/serverless experience including timeout management and orchestration with Step Functions.
• Experience consuming REST APIs with pagination, rate limits, retries, and secure credential handling.
• Experience producing messages to Kafka topics on MSK with AVRO and Schema Registry integration.
• Designing DynamoDB tables with keys, capacity, TTL, and idempotent operations.
• Understanding batch/incremental data ingestion, deduplication, and SQS buffering for resilience.

Responsibilities

• Primary builder for Lambda services, shared client library, Kafka producer logic, and backfill tooling.
• Design and implement backend engineering solutions using AWS serverless stack and monitoring.

Skills

.NET

AWS Lambda

REST API integration

Apache Kafka

AVRO & Schema Registry

Amazon DynamoDB

Data pipeline design

Testing & integration tests

Tools

AWS SAM

CDK

CloudWatch Logs

LocalStack

Amazon MSK

Schema Registry

Job description

Dev / Senior Developer

The Dev / Senior Developer is the primary builder for both Lambda services, the shared client library, Kafka producer logic, and backfill tooling. This role requires strong backend engineering skills with hands-on AWS serverless experience.

Job Description

Dev / Senior Developer

The Dev / Senior Developer is the primary builder for both Lambda services, the shared client library, Kafka producer logic, and backfill tooling. This role requires strong backend engineering skills with hands-on AWS Lambda's .NET managed runtime (Amazon.Lambda.Core).

Required Skills

• .NET: 4+ years production experience in the primary Lambda runtime; ability to write clean, testable, well-structured code with proper error handling and logging using AWS Lambda's .NET managed runtime (Amazon.Lambda.Core).


• AWS Lambda & serverless: Practical experience building and deploying Lambda functions, including timeout management, concurrency configuration (reserved and provisioned), cold-start optimization, and Step Functions for orchestration; familiarity with Lambda deployment via AWS SAM or CDK and monitoring via CloudWatch Logs and Lambda Insights.


• REST API integration: Experience consuming third-party REST APIs with pagination, rate-limit handling, retry/back off strategies, and authentication (API key headers); ability to store and rotate API credentials securely using AWS Secrets Manager or Parameter Store. Familiarity with marketing platform APIs is a plus.


• Apache Kafka: Hands-on experience producing messages to Kafka topics on Amazon MSK, including AVRO serialization, Schema Registry integration, producer configuration (acks, retries, idempotency), and troubleshooting publish failures.


• AVRO & Schema Registry: Ability to define, version, and register AVRO schemas; understanding of schema evolution (backward/forward compatibility) and contract-first design.


• Amazon DynamoDB: Experience designing table schemas (partition/sort keys), managing read/write capacity, implementing TTL policies, and using DynamoDB for cursor/state persistence and configuration storage; familiarity with DynamoDB conditional writes for idempotent operations.


• Data pipeline design: Understanding of batch/incremental ingestion patterns, idempotency strategies (composite keys, deduplication), cursor-based change tracking, and data correctness in distributed systems; experience using SQS as a buffer between pipeline stages for resilience and flow control.


• Testing: Strong unit testing discipline; experience with integration testing using mocks, stubs, or sandbox environments for external APIs and Kafka; familiarity with running integration tests against local AWS service emulators (LocalStack) or AWS sandbox accounts.
  

Desirable

• Experience with Snowflake or data warehouse ingestion patterns.


• Familiarity with API v2 (contacts, lists, list changes endpoints).


• Experience with historical backfill tooling (phased execution, rate-limit-aware replay).


• Knowledge of PII handling and data minimization in event-driven architectures, including AWS KMS encryption and CloudWatch log filtering for sensitive fields