Cloud Full Stack Engineer

Siri InfoSolutions Inc
Raritan, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 128K

Job location

Raritan, United States of America

Tech stack

JavaScript
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Azure
Software as a Service
Cloud Computing
Cloud Engineering
Computer Networks
Continuous Integration
Information Engineering
DevOps
Github
Design of User Interfaces
Monitoring of Systems
Identity and Access Management
Python
OpenID
Scientific Computating
TypeScript
Workflow Management Systems
Datadog
Scripting (Bash/Python/Go/Ruby)
Enterprise Software Applications
Cloud Platform System
High Performance Computing
Autoscaling
React
System Availability
Flask
Grafana
Reliability of Systems
AWS Lambda
HybridCloud
Amazon Web Services (AWS)
Backend
Gitlab
Cloudformation
FastAPI
Amazon Web Services (AWS)
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Deployment Automation
Slurm
Front End Software Development
Cloudwatch
REST
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

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