Cloud & DevOps Engineer - Virtual

About the position Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Values: Champion People – be empathetic and help create a place where everyone belongs. Grow with purpose – Be inspired by our higher calling of improving lives. Be Alight – act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com. Collaborating with Engineers and Scientists in the organization to construct complex data sources for algorithms and machine learning models.

Responsibilities

• Design, implement, and evolve cloud-native solutions for infrastructure provisioning, configuration management, and deployment pipelines.
• Own production systems end-to-end, including design decisions, implementation, operational reliability, and iterative improvement.
• Develop and maintain Infrastructure as Code and Configuration as Code using tools such as Terraform, CloudFormation, and Ansible.
• Design, implement, optimize, and own CI/CD pipeline tooling for application and infrastructure deployments using tools such as GitHub Actions or Jenkins.
• Design, implement, and own high‑quality, maintainable code in a modern language like Python, and author reliable Bash or PowerShell scripts.
• Use 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.
• Implement observability, monitoring, and alerting to ensure system reliability, scalability, performance, and cost efficiency.
• Embed security into infrastructure and delivery workflows by applying DevSecOps practices such as least-privilege access, secure defaults, and automated policy enforcement.
• Collaborate effectively with application, platform, network, and security teams, clearly communicating requirements, tradeoffs, and design decisions.
• Maintain clear documentation and proactively explore and apply emerging technologies in cloud, DevOps, and AI.

Requirements

• 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.
• 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.
• Familiarity with multi-cloud environments (AWS, Azure, GCP).
• Experience working in Agile environments (Scrum or Kanban).

Benefits

• We offer programs and plans for a healthy mind, body, wallet and life because it’s important our benefits care for the whole person.
• Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity & adoption leave, continuing education and training as well as several voluntary benefit options.

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