Asset & Wealth Management-DevOps Cloud Engineer-Associate-Richardson
Location: Richardson, Texas, United States
Job Description:
As a DevOps Cloud Engineer within the Runtime Engineering team, you will be a key contributor to our ongoing cloud journey as we stand up and evolve our new platform in AWS. This role is designed for an engineer with 1–3 years of experience who is passionate about automation, Infrastructure as Code (IaC), and modern DevOps practices. You will be responsible for building, managing, and enhancing the platform infrastructure, overseeing application deployments, and ensuring the reliability of our cloud-native systems.
Responsibilities- Infrastructure & Deployment: Build and manage platform infrastructure and oversee application deployments in cloud environments.
- DevOps Evolution: Assist in developing and implementing DevOps processes, tools, and best practices.
- Cross-Functional Collaboration: Collaborate with development and operations teams to ensure software is built, deployed, and maintained reliably and efficiently.
- Automation & Efficiency: Automate tasks and processes to improve operational efficiency and reduce manual effort.
- Operational Excellence: Monitor, troubleshoot, and resolve system issues to ensure high availability and performance.
- Continuous Improvement: Stay informed about emerging DevOps trends, tools, and technologies to support continuous improvement.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Experience: 1–3 years of experience in DevOps, with a focus on AWS cloud services such as EC2, S3, ECS, and IAM.
- Core Proficiency: Hands-on experience with TypeScript and Node.js, specifically applied to infrastructure automation (e.g., AWS CDK) or backend development.
- CI/CD Tooling: Experience using CI/CD tools (e.g., GitLab CI/CD, Jenkins, or AWS CodePipeline).
- Containers: Exposure to containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes or ECS), including building and deploying containers.
- Observability: Basic understanding of monitoring and logging tools (e.g., CloudWatch, ELK Stack) for troubleshooting and performance analysis.
- Cloud Fundamentals: General knowledge of networking concepts (e.g., VPCs, subnets, routing), security best practices (e.g., IAM, security groups), and system administration tasks (e.g., user management, patching) in cloud environments.
- Soft Skills: Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Certifications: AWS Certified Solutions Architect (Associate or Professional) or relevant hands-on architectural experience.
- IaC Principles: Knowledge of Infrastructure as Code (IaC) principles and experience with tools like AWS CDK, Terraform, or AWS CloudFormation.
- AWS Ecosystem: Familiarity with AWS services such as Aurora (SQL), RDS, Lambda, SQS, and Kinesis.
- Configuration Management: Familiarity with configuration management concepts and tools like Ansible, Chef, or Puppet.
- Modern Practices: Familiarity with GitOps principles and tools (e.g., ArgoCD, Flux) is a plus.
- Architecture: Understanding of microservices architecture and serverless computing at a high level.
- Optimization: Basic experience with performance tuning and cloud cost optimization.
- Communication: Good communication and documentation skills.
- Willingness to learn and adapt to new tools and technologies.
- Strong organizational skills and attention to detail.
- Proactive mindset with a focus on continuous improvement.
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