About The Position
Our SaaS platform leverages AI to make information accessible, actionable, and measurable, driving productivity and satisfaction for enterprises worldwide. As we scale rapidly to support mission-critical deployments, we are strengthening our engineering foundations across cloud infrastructure, reliability, and operational excellence.
About the Role
You will play a key role in leading and scaling our DevOps team. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.
This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.
Responsibilities
- Lead, mentor, and grow a team of DevOps/Infrastructure engineers, including 1:1s, career development, and performance feedback.
- Own the CI/CD pipeline strategy, driving faster, safer, and more reliable deployments across services.
- Design, implement, and maintain cloud infrastructure using Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi).
- Lead the adoption and evolution of Kubernetes-based platforms and cloud-native microservices architectures.
- Drive observability and reliability practices: monitoring, alerting, logging, incident response, and on-call rotations.
- Define and enforce SLAs/SLOs, and lead root-cause analysis and postmortems for production incidents.
- Partner with engineering teams to improve developer experience, build tooling, and reduce deployment friction.
- Own cloud cost, capacity planning, and infrastructure scaling decisions.
- Set technical roadmap and priorities for the DevOps function, in partnership with Engineering leadership.
Requirements
- 5+ years of DevOps/SRE/Infrastructure engineering experience, including 1-2+ years leading or mentoring other engineers.
- Proven track record operating production environments on Azure and AWS (multi-cloud experience strongly preferred).
- Deep expertise in infrastructure as code (Terraform, CloudFormation), Kubernetes, and CI/CD tooling.
- Solid understanding of cloud security principles and compliance standards (ISO 27001, SOC 2, GDPR).
- Background supporting 24/7 customer-facing production environments at scale.
- Experience implementing FinOps frameworks and optimizing cloud spend.
- Experience working with cloud cost optimization practices.
- Excellent management, communication, and cross-functional collaboration skills.
- Fluent in English (spoken and written).
Advantages
- Certifications in Azure, AWS, Kubernetes (CKA/CKAD), and FinOps Practitioner.
- Experience with knowledge management or AI/ML-powered SaaS products.
