Senior Engineer - SRE & Infrastructure Services

We are seeking a Senior Engineer to join our SRE/DevOps organization. The successful candidate will design and implement automated provisioning, deployment, management, and monitoring solutions for a large-scale, rapidly evolving portfolio of SaaS services. Working closely with architecture and development teams, the Senior Engineer will contribute to engineering standards and best practices, drive CI/CD and observability improvements, and support the team in delivering reliable, scalable infrastructure.

Responsibilities

• Design and implement CI/CD pipelines leveraging Kubernetes, Flux, and related cloud-native technologies
• Implement and maintain monitoring and management solutions for cloud-based products using a combination of commercial off-the-shelf (COTS) and in-house tooling
• Collaborate with architects and development teams on standardized, scalable approaches for log management, service components, and infrastructure elements
• Evaluate and integrate AI-enabled tooling across observability, pipeline efficiency, and SRE troubleshooting workflows
• Develop DevOps tooling that reduces manual toil, strengthens security posture, and minimizes human error
• Build and maintain resilient, self-scaling systems that minimize customer impact while supporting a sustainable operational environment
• Participate in incident response, root cause analysis, and post-incident review processes

Requirements

• Minimum 7 years of professional experience in software development, DevOps, and/or Site Reliability Engineering
• Minimum 3 years of experience building and maintaining CI/CD pipelines and SRE automation within cloud environments at scale
• Experience with monitoring and alerting platforms (e.g., PagerDuty, Prometheus, Grafana)
• Hands-on experience deploying and managing cloud infrastructure
• Experience with Amazon Web Services (e.g., EC2, Elasticsearch, Lambda, CloudFormation)
• Working experience with at least one additional cloud provider (GCP, Azure, or OCI)
• Experience with CI/CD toolchains (Jenkins, Kubernetes, Flux)
• Proficiency in one or more of the following languages: Python, Go, Java, or C
• Minimum English language level of B1+

Nice to have

• Experience applying Generative AI or ML-based tooling within an operations context
• Experience with DevSecOps practices and security automation
• Background in architecting monitoring and management systems for enterprise SaaS products