Cloud Full Stack Engineer

Siri InfoSolutions Inc

Raritan (NJ)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Siri InfoSolutions Inc. is seeking a Senior Cloud Full Stack Engineer in Raritan, NJ, for a long-term contract. The role focuses on cloud architecture, DevOps, and full-stack development across AWS and Azure environments.

You will design secure cloud infrastructure, automate deployments, and build scalable cloud-native applications using React and Python, while coordinating with security and data teams. Responsibilities include deploying Kubernetes on EKS, implementing GitOps pipelines with

Qualifications

  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Lead cloud and DevOps engineering initiatives across multiple projects.
  • Mentor DevOps and Cloud Engineers on best practices.

Skills

Cloud Architecture
Kubernetes
Python
React
DevOps
GitOps
CI/CD
Automation
Observability
Infrastructure as Code

Education

Bachelor's degree in Computer Science or related field

Tools

AWS (EKS)
Terraform
CloudFormation
ArgoCD
Helm
GitHub
GitLab
Docker
Nextflow Tower
Slurm
OIDC/IRSA
Grafana
Datadog

Job description

Role : Senior Cloud Full Stack Engineer
Location: Raritan, NJ
Duration : Long Term Contract
Job Summary

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.
Required Qualifications
  • 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.
Required Technical Skills
  • 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
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