Senior Developer – Cloud-Native Data, AWS, Kafka

Volantsoft Inc

. Design, develop, and maintain scalable components .

Posted 9/15/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and developing AWS-based solutions, event-driven architectures, and scalable data pipelines using Python and Java. Proficient in implementing CI/CD practices, container orchestration with Docker and Kubernetes, and utilizing AI-assisted development tools.

Highest-signal resume keywords

AWS-Based Solutions DevelopmentKafka Integration and Event-Driven ArchitecturePython and Java ProficiencyCI/CD Pipeline IntegrationContainer Orchestration with Docker and Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSKafkaPythonJavaSQLNoSQLREST APIsMicroservicesJSONYAML

Soft Skills

MentoringIndependent WorkAgile Environment Adaptability

Tools & Technologies

Amazon EKSAWS LambdaAmazon ECSAmazon S3Amazon RDSAmazon DynamoDBDynatraceWindsurfDockerKubernetes

Certifications & Qualifications

AWS CertificationKubernetes CertificationJava CertificationPython Certification

Industry Keywords

Cloud-Native ApplicationsDistributed SystemsData PipelinesConfiguration ManagementAgile Product Engineering

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsDockerDynamoDBJavaKafkaKubernetesMicroservicesNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain scalable components
Build AWS-based data pipelines, event-driven workflows, APIs, microservices, and integration services
Develop Kafka producers and consumers with appropriate topic, partitioning, schema, offset-management, retry, and error-handling strategies
Design and implement metadata-driven pipelines, dynamic business-rule engines, configurable APIs and data-integration frameworks, template-based code-generation solutions, and parameterized reusable services
Design and optimize JSON, YAML, and XML configuration interpreters
Implement configuration validation, versioning, auditing, rollback, backward compatibility, and error handling
Develop reusable and maintainable software using Python and/or Java
Design SQL and NoSQL data models for 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 components with CI/CD pipelines and GitOps deployment workflows
Build, package, and deploy applications using Docker and Kubernetes
Implement 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 developers
Use Windsurf and other AI-assisted engineering tools for development, refactoring, automated testing, troubleshooting, and documentation

Requirements

What you’ll need

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
Strong proficiency in Python or Java; hands-on experience with both preferred
Strong experience developing AWS-based pipelines and cloud-native applications
Hands-on experience with Apache Kafka and event-driven architectures
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, and parameterized reusable services
Strong experience with JSON-, YAML-, and XML-based configuration interpreters
Understanding of configuration schemas, validation, versioning, auditability, backward compatibility, and rollback
Knowledge of SQL and NoSQL database modeling
Experience with Amazon EKS, AWS Lambda, Amazon ECS, Amazon S3, Amazon RDS, and Amazon DynamoDB
Understanding of REST APIs, microservices, asynchronous processing, and distributed systems
Experience with CI/CD pipelines, Git, and GitOps practices
Experience with Docker, Kubernetes, and container orchestration
Working knowledge of Dynatrace
Working knowledge of Windsurf or similar AI-assisted development tools
Preferred: high-volume, fault-tolerant distributed platforms; Kafka schema management and Avro, JSON, or Protobuf; data lineage, schema evolution, data contracts, and data-quality controls; infrastructure-as-code and tools such as Terraform, Helm, or Argo CD; retry management, dead-letter queues, idempotency, caching, and fault tolerance; secure APIs and cloud services; relevant AWS, Kubernetes, Java, or Python certifications
Ability to work independently and mentor junior developers
Ability to deliver within an Agile product-engineering environment

Benefits

Comp & perks

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