AWS Python Developer - Remote

Fourth

United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Audit Trail User Authentication Code Generation Databases Data Integration Software Design Patterns Distributed Systems Fault Tolerance JSON

+22 more

Python (Programming Language) Metadata NoSQL Octopus Deploy Cloud Services Standard Sql Management of Software Versions Extensible Markup Language (XML) YAML Spring Cloud Caching Git Event Driven Architecture Kubernetes Data Lineage Deployment Automation Apache Kafka Restful APIs Terraform Dynatrace Docker Microservices

Requirements

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.

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.

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.