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Remote Java Aws Jobs in New York (NOW HIRING)

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Senior AEM Developer (Remote)

New York, NY · Remote

$59.50 - $78.75/hr

Must have recent experience with Java and Adobe Experience Manager. Be part of a world class ... Knowledge of administrative hosting environments such as AWS and/or WHM * You're an inquisitive ...

1 point system

Amazon Q Developer

New York, NY · Remote

Remote Type: 6 month contract to hire Notes * Must have worked in a scaled agile SAFe environment ... Full stack Java with Angular front end, but, can be heavier backend with some angular if necessary

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

... Java, Scala). * Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3 ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

NinjaOne

Senior Site Reliability Engineer

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Comprehensive experience with AWS (Amazon Web Services) and its core capabilities(VPC, EC2, ECS ...

TMS

Oracle OFSAA Consultant

Parsippany, NJ · Remote

Oracle OFSAA Consultant Location Remote Duration 6 +Months Experience Needed: 10 12 Years Skills ... Java programming language and web services development Experience with reporting and business ...

CopilotIQ

DevOps Engineer (EST only)

New York, NY · Remote

$57.75 - $79/hr

CopilotIQ is looking for a DevOps Engineer (Individual Contributor, Full-Time remote position ... AWS CDK, Cloud Development Kit (TypeScript/Java/Python) and AWS Solutions Constructs; * Experience ...

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Remote Java Aws information

What are the key skills and qualifications needed to thrive as a Remote Java AWS Developer, and why are they important?

To thrive as a Remote Java AWS Developer, you need strong proficiency in Java programming, cloud architecture, and experience with AWS services, often backed by a relevant degree or certifications such as AWS Certified Developer. Familiarity with tools like AWS Lambda, EC2, S3, and CI/CD pipelines, as well as version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills in this role. These skills and qualities ensure the developer can build scalable cloud applications, collaborate effectively in distributed teams, and adapt to evolving technical requirements.

What is a Remote Java AWS developer?

A Remote Java AWS developer is a software engineer who specializes in building, maintaining, and deploying Java applications on Amazon Web Services (AWS) infrastructure, while working from a location outside of a traditional office setting. These professionals use AWS tools and services such as EC2, Lambda, S3, and others to create scalable and secure cloud-based applications in Java. Their work often involves collaborating with distributed teams, automating deployments, and ensuring that applications perform efficiently in the cloud. They must be proficient in both Java programming and AWS cloud technologies.

What is the difference between Remote Java Aws vs Remote Java Developer?

AspectRemote Java AwsRemote Java Developer
Required CredentialsJava certification, AWS certifications (e.g., AWS Certified Developer)Java certification, general programming skills
Work EnvironmentCloud-based, AWS cloud infrastructureVarious environments, including cloud and on-premises
Industry UsageCloud-focused companies, AWS usersBroad software development across industries
Common Search/ComparisonYesNo

Remote Java Aws roles typically require AWS certifications and focus on cloud infrastructure, while Remote Java Developer roles are broader, covering various environments and industries. The main difference lies in the specialization in AWS cloud services for Remote Java Aws positions.

How does a Remote Java AWS developer typically collaborate with team members and stakeholders across different locations?

As a Remote Java AWS developer, collaboration is often facilitated through a combination of virtual meetings, code repositories, and project management tools. You’ll regularly participate in stand-ups, sprint planning, and code reviews via video calls and chat platforms to keep aligned with team objectives. Cloud-based tools like GitHub, Jira, and AWS CodeCommit ensure seamless sharing and integration of code. Clear communication and proactive updates are key to overcoming the challenges of working remotely, ensuring everyone stays on the same page despite time zone differences.
What are popular job titles related to Remote Java Aws jobs in New York? For Remote Java Aws jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Java Aws jobs in New York look for? The top searched job categories for Remote Java Aws jobs in New York are:
What cities in New York are hiring for Remote Java Aws jobs? Cities in New York with the most Remote Java Aws job openings:
Remote Java Aws jobs near you
AI Solutions Architect - Remote

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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