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Full Stack Cloud Developer Jobs Near Me

Photon

Full Stack Developer - Advanced

Columbus, OH · On-site

Full Stack Developer - Advanced Location: Columbus OH * We are looking for a Java Full Stack ... Deploy applications and AI workloads on cloud platforms such as AWS, Azure, or Google Cloud ...

Prophecy Technologies

Full Stack Developer

Columbus, OH · On-site

This role is for a Full Stack Developer focused on designing, building, and maintaining highly ... Extend standard SAP applications and orchestrate multi-cloud integrations across AWS, Azure, or GCP ...

Centraprise

Full Stack Java Developer

Columbus, OH · On-site

$49.50 - $63.75/hr

Proven experience as a Full Stack Java Developer, with a focus on IAM, cloud technologies, project management, and application onboarding. * Proficiency in Java, Spring Framework, and related ...

Keylent Inc

Java Full stack

Columbus, OH · On-site

$50.75 - $65.50/hr

Keylent Inc is seeking a Java Full Stack developer with extensive experience in design and ... Company : Keylent provides Software Development Services in the Cloud, Analytics and Digital ...

Apex Informatics

Java Full stack developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Look for Java full stack developer, with Angular, cloud (AWS) database:: oracle DB and SQL queries (intermediate level ) Required qualifications, capabilities, and skills • Formal training or ...

MSYS Inc.

Full Stack Java Developer - Onsite

Columbus, OH · On-site

$49 - $63.25/hr

Full Stack Java Developer - Onsite Location : Columbus, OH Length :Long term Restriction: W2 Only ... Knowledge of CI/CD, TDD, cloud development, application resiliency, and security practices.

New

Info Way Solutions

Java Full Stack Engineer

Columbus, OH · On-site

$50.75 - $65.50/hr

Info Way Solutions is seeking Java Full Stack Engineers at multiple experience levels to join a ... Git, DevOps pipelines, and cloud-native architectures. • Troubleshoot, optimize, and enhance ...

SVATS

Lead Java Full Stack Developer with AI

Columbus, OH · On-site

$49 - $63.25/hr

Role: Tech Lead - Full Stack Java Developer with AI Location: Columbus, OH | New York, NY | Plano ... in Java-based full-stack development, microservices, cloud platforms, and modern frontend ...

Navisoft

Java/Angular Full Stack Developer

Columbus, OH · On-site

$100 - $125/hr

Java/Angular Full Stack Developer (ID: KK11DR11151) Java/Angular Full Stack Developer We are looking for an experienced Full Stack Developer proficient in Java, API development, JUnit, Mockito, SQL ...

New

Staffingine LLC

Java Full Stack Developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Java Full Stack Developer Job Location: Columbus, OH Job Type: Contract : * Java Full Stack Developer * Develop and maintain the Java web application end to end based on requirements. * Kubernetes ...

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How much do full stack cloud developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for full stack cloud developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

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Full Stack Cloud Developer jobs near you
A map of the United States highlighting the number of Full Stack Cloud Developer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Full Stack Cloud Developer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Full Stack Developer - Advanced

Columbus, OH • On-site

Argyllinfotech
See more jobs at Argyllinfotechexternal

Full-time

Posted 19 days ago

Job description

Full Stack Developer - Advanced
Location: Columbus, OH
Duration: Long Term
 
 
Client: JPMC 
 
Job Overview: We are looking for a Java Full Stack Developer / Forward Deployed Engineer with strong hands-on experience in Java, Spring Boot, modern frontend technologies, APIs, cloud platforms, and enterprise application development. The ideal candidate will work closely with business and technical stakeholders to design, build, integrate, and deploy AI-powered and Agentic AI solutions for enterprise use cases.
 
This role requires a strong engineering mindset with the ability to work across the frontend, backend, APIs, data, cloud, and AI/agentic layers, rapidly convert business requirements into working solutions, and support deployments in complex enterprise environments.
 
Key Skills / Search Keywords: Java | Spring Boot | Microservices | React.js | Angular | JavaScript | TypeScript | REST API | SQL | AWS/Azure/GCP | Docker | Kubernetes | CI/CD | GenAI | Agentic AI | LLM | RAG | LangChain | LangGraph | CrewAI | AutoGen | Semantic Kernel | MCP | Vector Database | Prompt Engineering | AI Agents | API Integration | Full Stack Development | Forward Deployed Engineer
 
Key Responsibilities
  • Design and develop scalable full-stack applications using Java, Spring Boot, REST APIs, and modern frontend frameworks.
  • Build responsive user interfaces using React.js / Angular and integrate them with backend services and APIs.
  • Design and implement microservices-based applications and enterprise integration solutions.
  • Develop and integrate GenAI and Agentic AI capabilities into enterprise applications and workflows.
  • Work with AI/agent frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
  • Integrate applications with LLMs, RAG pipelines, vector databases, AI APIs, and enterprise data sources.
  • Develop APIs and tool integrations that enable AI agents to interact with enterprise systems.
  • Work with MCP (Model Context Protocol) or similar approaches for connecting AI agents with enterprise tools and services.
  • Build proof-of-concepts rapidly and evolve them into production-ready solutions.
  • Work directly with client/business stakeholders to understand ambiguous business problems and translate them into technical solutions.
  • Design and implement workflows involving AI agents, orchestration, tool calling, memory, human-in-the-loop processes, and automated decisioning.
  • Integrate AI solutions with existing enterprise applications, databases, APIs, and legacy systems.
  • Implement authentication, authorization, security, logging, monitoring, and governance requirements.
  • Deploy applications and AI workloads on cloud platforms such as AWS, Azure, or GCP.
  • Containerize and deploy applications using Docker and Kubernetes.
  • Implement CI/CD pipelines and follow modern DevOps and software engineering practices.
  • Perform testing, debugging, performance optimization, and production support.
  • Collaborate with architects, product managers, AI engineers, data engineers, and client stakeholders.
  • Document technical designs, reusable components, integration patterns, and deployment processes.
     
Required Technical Skills Backend
  • Strong hands-on experience with Java 8/11/17+
  • Spring Boot, Spring MVC, Spring Security
  • Microservices architecture
  • RESTful APIs and API integration
  • Hibernate / JPA
  • SQL and relational databases
  • Experience with messaging systems such as Kafka/RabbitMQ is preferred
     
Frontend
  • Strong experience with React.js or Angular
  • JavaScript / TypeScript
  • HTML5, CSS3
  • Responsive UI development
  • Frontend-backend API integration
     
Agentic AI / GenAI
  • Understanding of Generative AI, LLMs, and Agentic AI
  • Hands-on experience integrating LLMs into applications
  • Experience with one or more agentic frameworks such as:
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • Google ADK / AWS Bedrock Agents
  • Knowledge of RAG, embeddings, vector databases, prompt engineering, tool/function calling, and agent orchestration
  • Exposure to MCP / Model Context Protocol is an advantage
  • Understanding of LLM evaluation, observability, guardrails, and responsible AI is preferred
 
Cloud & DevOps
  • Experience with at least one cloud platform: AWS / Azure / GCP
  • Docker and Kubernetes
  • CI/CD pipelines
  • Git / GitHub / GitLab / Bitbucket
  • Cloud-native application development
  • Experience with cloud-based AI services is preferred
     
Data & Integration
  • Strong SQL and database fundamentals
  • Experience with relational and NoSQL databases
  • Exposure to vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or similar
  • Experience integrating enterprise APIs, third-party services, and data platforms
  • Understanding of data pipelines and event-driven architectures is a plus
     
Forward Deployed Engineer Capabilities
  • Ability to work directly with client engineering and business teams.
  • Strong problem-solving skills and ability to operate in ambiguous environments.
  • Ability to rapidly prototype and demonstrate working solutions.
  • Strong communication and stakeholder-management skills.
  • Ability to explain technical concepts and architecture decisions to both technical and non-technical audiences.
  • Comfortable owning solutions end-to-end—from discovery and design through development, deployment, and production support.
  • Willingness to work closely with customers and adapt solutions based on real-world feedback.
     
Experience
  • 5+ years of experience in software/full-stack development.
  • Strong commercial experience in Java Full Stack Development.
  • At least 1–2 years of hands-on exposure to GenAI / Agentic AI / AI-enabled application development preferred.
  • Experience delivering enterprise applications in production environments.
  • Experience working with large enterprise clients is a strong advantage.
  • BFSI / Healthcare / Retail / Telecom or other regulated-industry experience is preferred.
     
Preferred Qualifications
  • Experience building AI-native applications or agentic workflows.
  • Experience with LLM APIs such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Experience with RAG and enterprise knowledge systems.
  • Experience with AI observability, evaluation, guardrails, and governance.
  • Exposure to enterprise security concepts such as OAuth2, JWT, IAM, RBAC, and API security.
  • Experience working in Agile/Scrum environments.
  • Strong analytical, communication, and client-facing skills.