HI
Senior AWS Python Developer – Kafka
Han IT Staffing
🇺🇸 United States
On-site
Senior
1 week ago
- AWS
- Python
- Java
- Microservices
- JSON
- YAML
- XML
- SQL
- NoSQL
- EKS
- AWS Lambda
- ECS
- RDS
- DynamoDB
- REST API
- Contract Testing
- CI/CD
- GitOps
- Docker
- Kubernetes
- Dynatrace
- Devops
- AI
- Apache Kafka
- Amazon RDS
- Git
- Apache Avro
- Protocol Buffers
- IaC
- Terraform
- Helm
- Argo
- Secrets Management
- System Design
- Agile
1 week ago
Location:Saint Louis, MO/ Dallas, TX / New York
Duration: Contract
Job Description:
We are seeking an experienced Senior Developer to support the project initiative. The ideal candidate will have 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
- 7+ 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 for the PISCES HUB platform.
- 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 Metadata-driven pipelines and workflows Dynamic business-rule engines
- Configurable APIs and data-integration frameworks Template-based code-generation solutions
- 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:
- Metadata-driven pipelines and workflows Dynamic business-rule engines
- Configuration-driven applications
- Configurable API and data-integration frameworks
- Template-based code-generation frameworks
- 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 modelling.
- Experience designing data models for business rules, metadata, configuration versioning, and
audit history.
Hands-on experience with:
- Amazon EKS
- AWS Lambda
- Amazon ECS
- Amazon S3
- Amazon RDS
- 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 development tools.
- Experience developing high-volume, fault-tolerant, distributed platforms.
- Experience with Kafka schema management and serialization formats such as Avro, JSON, or
Protobuf. - Knowledge of data lineage, schema evolution, data contracts, and data-quality controls.
- Experience with infrastructure-as-code and deployment tools such as Terraform, Helm, Argo
CD, or equivalent technologies. - Familiarity with design patterns for retry management, dead-letter queues, idempotency, caching,
and fault tolerance. - Experience implementing secure APIs and cloud services using authentication, authorization,
encryption, and secrets-management practices. - AWS Developer, AWS Solutions Architect, Kubernetes, Java, or Python certifications are an
advantage.
- Strong software-design and problem-solving abilities.
- Ability to translate business requirements into configurable and reusable technical solutions.
- Strong understanding of scalable and resilient distributed-system design.
- Effective debugging and root-cause-analysis skills.
- Commitment to clean code, automated testing, documentation, and engineering standards.
- Ability to work independently and mentor junior developers.
- Strong collaboration and communication skills.
- Ability to deliver effectively within an Agile product-engineering environment.
Senior AWS Python Developer – Kafka · Han IT Staffing