Aws cloud Engineer

Overview

Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications
25% Travel
Able to Provide Sponsorship

Skills

Amazon DynamoDB
Amazon Lambda
Amazon SageMaker
Artificial Intelligence
Amazon Web Services
Amazon S3
Continuous Delivery
Cloud Storage
Machine Learning (ML)
HIPAA
Kubernetes
Docker
MongoDB
Terraform
Version Control

Job Details

Job Title: AWS Cloud Engineer

Location: Sacramento, CA 2-3 days Hybrid/ Weekly

Job Type: Long Term Contract

About R Systems:

R Systems is a global leader in technology and analytics services, delivering innovative solutions to drive digital transformation across industries like Telecom, Banking, Healthcare, and Public Services. With over 4,400 professionals in 25+ countries, we are committed to helping our clients achieve operational excellence and enhanced customer experiences.

We are proud to be Great Place to Work Certified in 10 countries, including India, the USA, Canada, and more. Our vibrant team culture fosters collaboration, innovation, and growth, making R Systems a fantastic place to work.

Join us in creating impactful solutions and advancing technology for a better tomorrow.

Mandatory Qualifications

  1. At least three (3) to five (5) 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) to five (5) 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 Cloud Formation, or Azure Resource Manager (ARM) templates.
  4. At least three (3) to five (5) 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) to five (5) 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) to five (5) 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)].

Desirable Qualification

  1. Familiarity with the AWS Well-Architected Framework and ability to apply its principles in designing scalable and secure solutions.
  2. Experience with migrating legacy systems to AWS cloud-native services or re-platforming existing workloads.
  3. Experience with cost optimization strategies using AWS Cost Explorer, Trusted Advisor, or resource tagging and chargeback models.
  4. Experience with automated security and compliance enforcement using tools like AWS Config, Security Hub, or custom Lambda policies.
  5. Experience setting up centralized logging using CloudWatch Logs, CloudTrail, or third-party tools like Splunk.
  6. Scripting experience with Bash, PowerShell, or equivalent.
  7. Experience with Artificial Intelligence/Machine Learning (AI/ML) cloud services (e.g., SageMaker) and multi-cloud architecture.
  8. The proposed project person will be required to adhere with Client hybrid working model, currently working on-site 2-3 days per week at Clients Headquarters, West Sacramento, CA and it may increase

based on business needs. (no points)

Why Join Us?

  • Innovative Environment: Work on impactful public sector projects that drive technological advancements.
  • Competitive Compensation: Receive a competitive salary and benefits package that reflects your expertise.
  • Professional Growth: Enjoy opportunities for career development, certifications, and continuous learning.
  • Flexible Work Arrangement: Benefit from a hybrid work model that supports both remote and on-site work.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.