Cloud/AI Developer :: Washington DC (Remote/Hybrid)

ARK Solutions, Inc.
Washington, DC, United States
7 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
$87,100.0 - $157,450.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Computer Vision Audit Trail Software as a Service Cloud Computing Cloud Computing Security Continuous Integration DevOps Identity and Access Management
+17 more
Spring Framework Key Management Meta-Data Management Performance Tuning Role-Based Access Control Cloud Services Systems Integration Management of Software Versions Data Logging Google Cloud Spring Cloud Spring-boot Backend Git Restful APIs Terraform Serverless Computing

Job description

Seeking for an experienced Cloud/AI Developer to design, develop, deploy, and support secure, cloud-native applications on Google Cloud Platform (GCP). The ideal candidate will have strong backend development experience using Java and Spring/Spring Boot, along with expertise in RESTful APIs, cloud services, image-processing workflows, and AI-enabled application capabilities.

  • Design, develop, and maintain backend services and APIs using Java and Spring/Spring Boot.
  • Build and operate secure, scalable, cloud-native applications on GCP.
  • Develop applications using serverless and/or container-based architectures.
  • Design and implement RESTful APIs, including authentication, authorization, documentation, versioning, and backward compatibility.
  • Develop image-based processing workflows covering capture/ingestion, object storage, transformation, metadata extraction, and lifecycle management.
  • Integrate AI capabilities into applications, including computer vision, OCR, classification, extraction, redaction, and similarity search.
  • Support evaluation and monitoring of AI-enabled application capabilities.
  • Implement secure engineering practices, including IAM, least-privilege access, service accounts, secrets management, encryption in transit and at rest, and audit logging.
  • Develop and maintain CI/CD pipelines and Git-based development workflows.
  • Implement infrastructure-as-code using Terraform or equivalent technologies.
  • Create repeatable deployment processes and maintain consistency across application environments.
  • Implement application observability using logs, metrics, traces, alerts, and operational runbooks.
  • Troubleshoot cloud applications, perform defect triage and root-cause analysis, and resolve production issues.
  • Perform application and service performance tuning and recommend preventive improvements.
  • Collaborate with engineering, QA, DevOps, product, and security teams throughout the application delivery lifecycle., * Secure and scalable Java-based cloud-native services on GCP supporting image-processing workflows.
  • Well-designed RESTful APIs with appropriate documentation, versioning, and backward-compatibility support.
  • Image-processing pipeline components supporting ingestion, transformation, metadata extraction, and lifecycle management.
  • AI-enabled capabilities including classification, OCR, redaction, extraction, and/or similarity search.
  • CI/CD and infrastructure-as-code assets supporting repeatable deployments.

Requirements

  • Strong professional experience developing backend services and APIs using Java.
  • Hands-on experience with Spring, Spring Boot, or similar Java frameworks.
  • Strong experience designing and implementing RESTful APIs and service integrations.
  • Hands-on experience designing, deploying, and operating applications on Google Cloud Platform (GCP).
  • Experience with serverless and/or container-based application architectures.
  • Experience with image-centric workflows, including ingestion, object storage, transformation, and metadata management.
  • Experience integrating AI capabilities into applications, such as computer vision, OCR, extraction, classification, redaction, or similarity search.
  • Understanding of AI evaluation and monitoring concepts.
  • Knowledge of cloud security practices, including IAM, service accounts, least privilege, secrets management, encryption, and audit logging.
  • Experience with CI/CD and Git-based development workflows.
  • Experience with Terraform or other infrastructure-as-code (IaC) technologies.
  • Strong cloud application troubleshooting, defect-isolation, root-cause-analysis, and performance-tuning skills.
  • Experience with application observability, including logging, metrics, tracing, and alerting.
  • Strong communication and collaboration skills with technical and business stakeholders.

Apply for this position

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Navigating AI service complexity and developer roles

Radu Vunvulea Radu Vunvulea · World Congress 2025

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Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

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