Cloud Platform Engineer

Alight is a company that champions people and aims to improve lives through a strong benefits ecosystem. They are seeking a Cloud Platform Engineer to design, build, and operate secure and scalable cloud platforms on AWS, while also contributing to technical direction and ownership in a collaborative environment.

Responsibilities:

• Designing, implement, and evolve cloud-native solutions for infrastructure provisioning, configuration management, and deployment pipelines
• Owning production systems end-to-end, including design decisions, implementation, operational reliability, and iterative improvement
• Developing and maintain Infrastructure as Code and Configuration as Code using tools such as Terraform, CloudFormation, and Ansible
• Designing, implementing, optimizing, and own CI/CD pipeline tooling for application and infrastructure deployments using tools such as GitHub Actions or Jenkins
• Designing, implementing, and own high‑quality, maintainable code in a modern language like Python, and author reliable Bash or PowerShell scripts
• Using AI-assisted development tools (e.g., GitHub Copilot) and contribute to internal platforms that enable teams to build and deploy AI-enabled solutions using AWS Bedrock and WatsonX
• Implementing observability, monitoring, and alerting to ensure system reliability, scalability, performance, and cost efficiency
• Embedding security into infrastructure and delivery workflows by applying DevSecOps practices such as least-privilege access, secure defaults, and automated policy enforcement
• Collaborating effectively with application, platform, network, and security teams, clearly communicating requirements, tradeoffs, and design decisions
• Maintaining clear documentation and proactively explore and apply emerging technologies in cloud, DevOps, and AI

Requirements:

• 3+ years of experience in software development, cloud engineering, or DevOps roles
• Experience operating automated infrastructure and delivery pipelines at scale
• Exposure to foundational AI concepts (e.g., LLMs, agentic patterns, RAG) and interest in applying AI to automation, developer tooling, or operational workflows
• Contributions to open-source projects
• AWS certification or equivalent cloud credentials
• software engineering skills in Python (preferred) and Bash. Experience with Web development, Java, JavaScript, and/or PowerShell desirable
• Hands-on experience building and operating AWS-based systems using services such as EC2, ECS/EKS, RDS, S3, and Lambda
• Experience using Infrastructure as Code and Configuration as Code tools (Terraform, CloudFormation, Ansible)
• Experience building and operating CI/CD pipelines in production environments
• Knowledge of containerization and orchestration technologies, including Docker and Kubernetes
• Working knowledge of AWS networking and security, including troubleshooting connectivity issues, defining security group rules, applying least-privilege IAM policies, and partnering with network and security engineers
• Ability to impact reliability, scalability, and performance, and make pragmatic tradeoffs in production systems
• • Strong collaboration and communication skills, with the ability to influence technical outcomes across teams
• Demonstrated self-directed learning and curiosity—proactively seeking out and applying new technologies and approaches
• Familiarity with multi-cloud environments (AWS, Azure, GCP)
• Experience working in Agile environments (Scrum or Kanban)