Cloud Developer

Elegant Enterprise Wide Solutions
West Sacramento, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

West Sacramento, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Bash
C Sharp (Programming Language)
Software as a Service
Cloud Computing
Cloud Storage
Databases
Continuous Delivery
Continuous Integration
Software Debugging
DevOps
Amazon DynamoDB
Github
Identity and Access Management
Python
Key Management
PostgreSQL
Machine Learning
MongoDB
MySQL
Node.js
NoSQL
Powershell
Cloud Services
Security Software
SQL Databases
Virtual Machines
Web Applications
Data Logging
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
Cloud Monitoring
Software Security
Multi-Cloud
AWS Lambda
Infrastructure as Code (IaC)
Amazon Web Services (AWS)
Cloudformation
Kubernetes
Infrastructure Automation Frameworks
Hashicorp
Opsworks
Cloudwatch
REST
Terraform
Splunk
Software Version Control
Serverless Computing
Azure
Docker
Legacy Systems

Job description

The experienced full-stack Cloud Developer (Consultant) shall design, develop, deploy, and maintain scalable cloud-based applications and infrastructure. This Consultant role involves creating robust cloud-native solutions using platforms primarily on AWS platform. The Consultant will collaborate with DevOps, Security, and Product teams to build services that are secure, resilient, and aligned with business goals. Key responsibilities include developing Application Programming Interfaces (APIs), implementing Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines, optimizing cloud performance, modernizing applications to be cloud ready, ensuring application security, and automating infrastructure using Infrastructure as Code (IaC). Experience in containerization (Docker, Kubernetes), serverless architecture, and cloud monitoring tools is preferred.

This Consultant role is essential for driving innovation, operational agility, and business continuity, ensuring our systems can scale with demand, recover quickly, and deliver consistent user experiences.

Requirements

  1. At least three (3) years of experience with AWS cloud platform and services like Amazon Elastic Compute Cloud (EC2)/virtual machines (VM) Instances, S3/Cloud Storage, Serverless (AWS Lambda, Cloud Functions), and IAM (Identity & Access Management).
  2. At least three (3) years with CI/CD tools in particular GitHub and basic version control workflows.
  3. At least three (3) years of experience using Infrastructure as Code (IaC) with Terraform, AWS CloudFormation, or Azure Resource Manager (ARM) templates.
  4. At least three (3) years of experience to build, deploy, and debug basic web applications with familiarity with APIs [Representational State Transfer (REST)] and using Python, Node.js or C#.
  5. At least three (3) years of experience using Docker, Kubernetes [Amazon Elastic Kubernetes Service (EKS)] and container orchestration.
  6. At least three (3) years of experience of structured query language (SQL) and/or not only SQL (NoSQL) databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB).
  7. At least three (3) years of experience with Encryption standards, Secrets management (AWS Secrets Manager, HashiCorp Vault), Compliance frameworks [Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and System and Organization Controls 2 (SOC2)]., 1. Familiarity with the AWS Well-Architected Framework and ability to apply its principles in designing scalable and secure solutions.
  8. Experience with migrating legacy systems to AWS cloud-native services or re-platforming existing workloads.
  9. Experience with cost optimization strategies using AWS Cost Explorer, Trusted Advisor, or resource tagging and chargeback models.
  10. Experience with automated security and compliance enforcement using tools like AWS Config, Security Hub, or custom Lambda policies.
  11. Experience setting up centralized logging using CloudWatch Logs, CloudTrail, or third-party tools like Splunk.
  12. Scripting experience with Bash, PowerShell, or equivalent.
  13. Experience with Artificial Intelligence/Machine Learning (AI/ML) cloud services (e.g., SageMaker) and multi-cloud architecture.

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