Cloud Full Stack Engineer

Siri InfoSolutions Inc
Raritan, NJ, United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$79,000.0 - $127,650.0
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Microsoft Azure Software as a Service Cloud Computing Cloud Engineering Computer Networks Continuous Integration
+42 more
Information Engineering DevOps Github Design of User Interfaces Monitoring of Systems Identity and Access Management Python (Programming Language) OpenID Scientific Computating TypeScript Workflow Management Systems Datadog Scripting Enterprise Software Applications Cloud Platform System High Performance Computing Autoscaling ReactJS System Availability Flask (Web Framework) Grafana Reliability of Systems AWS Lambda HybridCloud Amazon Virtual Private Cloud (VPC) Backend Gitlab Cloudformation Fastapi Amazon Relational Database Service Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Slurm Front End Software Development Cloudwatch Restful APIs Terraform Data Pipelines Docker Microservices

Job description

We are seeking a Senior Cloud Full Stack Engineer with extensive experience in Cloud Architecture, DevOps, Kubernetes, Python, and React to design, build, and support scalable cloud-native platforms. The ideal candidate will be responsible for architecting secure cloud infrastructure, automating deployments, developing full-stack applications, and implementing enterprise DevOps best practices across AWS and Azure environments. Key Responsibilities Cloud Architecture & Platform Engineering Design, implement, and maintain secure, scalable cloud infrastructure on AWS. Deploy and manage Kubernetes workloads on Amazon EKS. Configure and manage OIDC, IRSA, network policies, autoscaling, and observability. Implement cloud governance, security best practices, and cost optimization (FinOps). Support analytics, data engineering, and enterprise application platforms. DevOps, Automation & CI/CD Build Infrastructure as Code (IaC) using Terraform and AWS CloudFormation. Develop and maintain Kubernetes manifests for application deployments. Design and implement GitOps-based CI/CD pipelines using ArgoCD, Helm, GitHub, and GitLab. Develop Python automation scripts for infrastructure provisioning, monitoring, workflow automation, and compliance validation. Automate deployment processes to improve system reliability and operational efficiency. Full Stack Application Development Develop modern frontend applications using React. Integrate frontend applications with cloud APIs, backend services, and enterprise authentication. Build backend services, APIs, automation tools, and microservices using Python (Flask/FastAPI). Collaborate with UI/UX designers and product teams to modernize manual workflows into cloud-based applications. Hybrid Cloud & HPC Workflow Orchestration Integrate cloud-based workflows with HPC environments such as Slurm. Develop event-driven processing pipelines using Python, AWS Lambda, Amazon S3 events, and Nextflow Tower. Support workflow automation for large-scale scientific and enterprise computing environments. Operations & Observability Implement enterprise monitoring and alerting using AWS CloudWatch, Grafana, Datadog, and custom Python-based monitoring solutions. Manage production environments across AWS and Azure. Ensure high availability, security, scalability, and operational excellence. Leadership & Collaboration Lead cloud and DevOps engineering initiatives across multiple projects. Mentor DevOps and Cloud Engineers on best practices. Collaborate with Product Owners, R&D Scientists, Security Teams, Infrastructure Teams, and external vendors. Drive technical strategy and ensure successful project delivery., Cloud AWS (EKS, EC2, S3, RDS, IAM, VPC) Azure DevOps & Infrastructure Kubernetes Docker Terraform CloudFormation ArgoCD Helm GitOps GitHub GitLab Programming Python JavaScript TypeScript React Flask FastAPI Automation Python Automation Infrastructure Provisioning CI/CD Pipelines Workflow Automation Monitoring & Observability AWS CloudWatch Grafana Datadog Custom Python Monitoring HPC & Workflow Tools Nextflow Tower Slurm

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Strong experience designing and managing AWS cloud infrastructure. Hands-on experience with Kubernetes (Amazon EKS). Expertise in Infrastructure as Code using Terraform and CloudFormation. Strong experience implementing CI/CD pipelines using GitOps methodologies. Proficiency in Python development and automation scripting. Experience developing frontend applications using React and JavaScript/TypeScript. Experience building REST APIs and microservices using Flask or FastAPI. Experience with Docker containers and Kubernetes deployments. Hands-on experience with AWS CloudWatch, Grafana, and Datadog. Experience working with GitHub and GitLab. Knowledge of HPC environments and Slurm workload manager is highly preferred. Strong problem-solving, communication, and leadership skills. Preferred Qualifications Experience with Azure cloud services. Experience with Nextflow Tower. Knowledge of enterprise authentication and security frameworks. Experience implementing cloud governance and FinOps practices. Exposure to scientific computing or data engineering environments. Experience leading technical teams and mentoring engineers.

Benefits & conditions

  • $79,000-127,650 per year At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, …

  • 1 month ago +

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