Senior AWS Python Developer-Saint Louis, MO/ Dallas TX/ New York TX

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 modeling.Experience designing

data models for business rules, metadata, configuration versioning, and
audit history.

Hands-on experience