Contract Python Automation Jobs in Somerville, NJ

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