The Role

We are seeking a skilled DevOps / CloudOps Engineer to join our Labs team. This role focuses on supporting and optimizing the deployment pipelines, infrastructure, and cloud environments that power our research and prototyping initiatives. The ideal candidate is an AWS expert with strong networking fundamentals and experience managing scalable, resilient infrastructure. Familiarity with Snowflake and/or Aurora/PostgreSQL is a significant plus.

Key Responsibilities

• Infrastructure Management: Design, implement, and manage infrastructure across AWS accounts (sandbox, integration, prod, etc.) following IaC best practices (e.g., Terraform or CloudFormation).
• CI/CD Operations: Maintain and improve CI/CD pipelines to support efficient code deployment, testing, and validation across multiple environments.
• Environment Support: Provide hands-on operational support for the Labs environments, including provisioning, scaling, and securing services.
• Networking & Security: Configure VPCs, subnets, routing, and firewalls. Implement cloud-native security best practices and work closely with the Security team for compliance.
• Monitoring & Observability: Set up logging, monitoring, and alerting to ensure high availability and visibility into system health.
• Data Infrastructure (Optional Asset): Support and optimize usage of Snowflake and Aurora/Postgres databases within the lab environments, including schema setup, connection management, and cost control.

Skills And Qualifications

Must-Have

• Solid hands-on experience with AWS services (EC2, S3, Lambda, RDS, IAM, VPC, CloudWatch, etc.)
• Strong grasp of networking concepts (IP routing, firewalls, VPNs, DNS, TLS)
• Proficiency with infrastructure-as-code tools (e.g., Terraform, CloudFormation)
• Experience with Linux-based systems and scripting (e.g., Bash, Python)
• Understanding of CI/CD tooling (GitHub Actions, GitLab CI, Jenkins, etc.)

Nice-to-Have

• Experience managing Snowflake environments (warehouse sizing, roles, policies)
• Familiarity with Aurora/PostgreSQL performance tuning and backup strategies
• Exposure to multi-account AWS architectures and cost optimization
• Interest in supporting experimental and rapid prototyping environments

What We Offer

• Opportunity to shape how cloud infrastructure supports R&D initiatives
• Flexibility and autonomy to innovate with cutting-edge tools and platforms
• Collaborative environment with access to domain experts in AI, security, and data engineering
• A culture of experimentation, learning, and continuous improvement