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Role Description

We are seeking engineers to help design, build, and operate secure, scalable, and highly automated cloud platforms on AWS. This role is ideal for engineers who enjoy both hands-on delivery and contributing to technical direction through thoughtful design and ownership.

Successful candidates will be assessed during the hiring process and placed into either a Cloud Engineering or DevOps Engineering role based on skills, experience, and interests. You will work with modern cloud technologies, automation, and AI-assisted tooling in a collaborative environment that values ownership, learning, and technical excellence.

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.

Qualifications

• 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).

Benefits

• Programs and plans for a healthy mind, body, wallet, and life.
• A variety of health coverage options.
• Wellbeing and support programs.
• Retirement plans.
• Vacation and sick leave.
• Maternity, paternity & adoption leave.
• Continuing education and training.
• A number of voluntary benefit options.