Senior Developer W Cloud-Native Data AWS Kafka

Role: Senior Developer — Cloud-Native Data, AWS + Kafka - Remote
Years of Experience: 8+ years
Location: Remote

Job Description:

Role Overview
We are seeking an experienced Senior Developer with strong hands-on experience developing cloud-native, configuration-driven, event-based, and data-processing solutions using AWS, Kafka, Python, and Java.
This role requires the ability to design scalable data pipelines, configurable business-rule frameworks, APIs, microservices, and containerized applications while ensuring performance, reliability, observability, and maintainability.

Experience

• 8+ years of experience in software engineering and application development.
• 4+ years of hands-on experience building AWS-based solutions, Kafka integrations, and data pipelines.
• Demonstrated experience designing and developing distributed, cloud-native applications.

Key Responsibilities

• Design, develop, and maintain scalable components.
• Build AWS-based data pipelines, event-driven workflows, APIs, microservices, and integration services.
• Develop Kafka producers and consumers, including appropriate topic, partitioning, schema, offset-management, retry, and error-handling strategies.
• Design and implement configuration-driven systems, including:

o Metadata-driven pipelines and workflows
o Dynamic business-rule engines
o Configurable APIs and data-integration frameworks
o Template-based code-generation solutions
o Parameterized services and reusable components

• Design and optimize configuration interpreters using JSON, YAML, and XML.
• Implement configuration validation, versioning, auditing, rollback, backward compatibility, and error-handling capabilities.
• Develop high-quality, reusable, and maintainable software using Python and/or Java.
• Design SQL and NoSQL data models for storing, retrieving, auditing, and versioning business rules and system configurations.
• Build and integrate solutions using Amazon EKS, AWS Lambda, Amazon ECS, Amazon S3, Amazon RDS, and Amazon DynamoDB.
• Develop REST APIs, asynchronous services, batch-processing components, and event-based integrations.
• Implement automated unit, integration, component, and contract testing.
• Integrate application components with CI/CD pipelines and GitOps deployment workflows.
• Build, package, and deploy applications using Docker and Kubernetes.
• Implement application logging, monitoring, distributed tracing, dashboards, and alerting using Dynatrace.
• Troubleshoot production issues and perform root-cause analysis across application, integration, data, and infrastructure layers.
• Conduct code reviews and enforce engineering, security, performance, and maintainability standards.
• Collaborate with architects, product owners, quality analysts, data engineers, DevOps engineers, and other developers.
• Use Windsurf and other AI-assisted engineering tools to accelerate development, refactoring, automated testing, troubleshooting, and technical documentation.

Required Technical Skills

• Strong proficiency in Python or Java; hands-on experience with both is preferred.
• Strong experience developing AWS-based pipelines and cloud-native applications.
• Hands-on experience with Apache Kafka and event-driven architectures.
• Proven experience building:

o Metadata-driven pipelines and workflows
o Dynamic business-rule engines
o Configuration-driven applications
o Configurable API and data-integration frameworks
o Template-based code-generation frameworks
o Parameterized and reusable services

• Strong experience designing and optimizing JSON-, YAML-, and XML-based configuration interpreters.
• Strong understanding of configuration schemas, validation, versioning, auditability, backward compatibility, and rollback.
• Strong knowledge of SQL and NoSQL database modeling.
• Experience designing data models for business rules, metadata, configuration versioning, and audit history.
• Hands-on experience with:

o Amazon EKS
o AWS Lambda
o Amazon ECS
o Amazon S3
o Amazon RDS
o Amazon DynamoDB

• Strong understanding of REST APIs, microservices, asynchronous processing, and distributed systems.
• Experience with CI/CD pipelines, Git, and GitOps practices.
• Hands-on experience with Docker, Kubernetes, and container orchestration.
• Strong working knowledge of Dynatrace for observability, monitoring, performance analysis, and troubleshooting.
• Working knowledge of Windsurf or similar AI-assisted d…