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DevOps and Cloud Engineer

Plano, TX, US • Posted 21 hours ago • Updated 8 hours ago

Full Time

On-site

USD $100,000.00 - 130,000.00 per year

Fitment

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Job Details

Skills

Migration
Records Management
Automated Testing
ProVision
API
Step-Functions
Amazon SQS
Regulatory Compliance
Collaboration
Computer Science
Software Engineering
DevOps
Docker
YAML
Terraform
Software Asset Management
Scripting
Bash
Python
Version Control
PostgreSQL
Microsoft SQL Server
Relational Databases
RESTful
Cloud Computing
Conflict Resolution
Problem Solving
Agile
Communication
Kubernetes
Orchestration
GitHub
Workflow
Testing
Management
Performance Testing
Load Testing
Amazon Web Services
Optimization
IaaS
Continuous Integration
Continuous Delivery

Summary

Description

We are looking for an exceptional Cloud and DevOps Engineer to join our engineering team.

This is a vital role on our expanding DevOps team as we accelerate the cloud migration of our Records Management solution. If you are someone who views hurdles as challenges, enjoys the freedom to learn, and is self-motivated to deliver results, this is an ideal role for you.
Responsibilities

Design, build, and maintain GitHub Actions CI/CD pipelines for automated testing, building, and deployment of applications across multiple environments.
Architect and implement deployment strategies, including blue-green deployments, canary releases, and automated rollbacks.
Develop and maintain infrastructure-as-code using CloudFormation, AWS SAM, or Terraform to provision and manage AWS resources.
Build and optimize containerized applications using Docker and orchestration platforms (ECS, Fargate, or Kubernetes).
Design and develop scalable, event-driven applications using AWS-native services, including API Gateway, EventBridge, Step Functions, Lambda, and SQS.
Implement monitoring, logging, and observability solutions using CloudWatch, X-Ray, Data Dog, and other tools to ensure system health and performance.
Automate security scanning, vulnerability assessments, and compliance checks within CI/CD pipelines.
Collaborate with development teams to establish DevOps best practices, coding standards, and deployment workflows.

Qualifications

Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
3+ years of experience with strong DevOps practices.
Proven experience designing and implementing CI/CD pipelines, preferably with GitHub Actions.
Strong knowledge of containerization technologies (Docker) and container orchestration platforms.
Experience with Harness, Helm, and YAML
Hands-on experience with AWS services and infrastructure-as-code tools (CloudFormation, Terraform, or AWS SAM).
Strong scripting skills in Bash, Python, or similar languages for automation.
Experience with version control strategies, branching models, and GitOps workflows.
Strong working knowledge of Postgres, SQL Server, or other relational databases.
Experience developing and consuming RESTful APIs.
Familiarity with monitoring, logging, and observability tools in cloud environments.
Understanding of security best practices in CI/CD pipelines and cloud infrastructure.
Excellent problem-solving skills and ability to troubleshoot complex deployment issues.
Familiarity with Agile methodologies and working in cross-functional teams.
Excellent written and verbal communication skills.

Preferred Skills

Experience with Kubernetes or AWS ECS/EKS for container orchestration.
Knowledge of advanced GitHub Actions features, including custom actions, reusable workflows, and self-hosted runners.
Familiarity with infrastructure testing tools (e.g., Terratest, LocalStack).
Understanding of event-driven architecture patterns and serverless computing.
Experience with artifact management and package registries.
Knowledge of performance testing and load testing tools in CI/CD environments.
Familiarity with AWS security services (IAM, Secrets Manager, KMS, Security Hub).
Experience with cost optimization strategies for cloud infrastructure and CI/CD processes.

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.

Dice Id: 80180573
Position Id: b10e5885d7337e9f0ceafd86977a5c2c
Posted 21 hours ago

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