Senior Site Reliability (DevOps) Engineer

About the role

As a Senior Site Reliability (DevOps) Engineer in the Marketing Cloud Platform Department, you will drive operational excellence by implementing best practices in observability, incident management, and automation. This role bridges engineering and operations, requiring strong technical expertise and people‑management skills to build and maintain highly available systems serving millions of customers globally.

Key responsibilities

• Define and drive SRE strategy, including SLO/SLI frameworks, error budgets, and reliability targets aligned with business objectives.
• Establish and improve incident management processes, on‑call rotations, escalation procedures, and blameless post‑mortems to minimize MTTR.
• Collaborate with development teams to embed reliability practices into the software development lifecycle, including design reviews, chaos engineering, and production readiness reviews.
• Design and implement comprehensive observability solutions (monitoring, logging, tracing, alerting) to provide actionable insights into system health.
• Drive automation initiatives to reduce toil, improve deployment reliability, and enable self‑service capabilities for engineering teams.
• Partner with Architecture and Platform teams to ensure infrastructure decisions support scalability, fault tolerance, and cost optimisation.
• Manage capacity planning and performance optimisation for critical marketing platforms handling high‑volume campaign executions and real‑time personalization.
• Report on reliability metrics, incident trends, and operational health to leadership, translating technical insights into business impact assessments.

Required profile

• 8+ years of experience in software engineering, DevOps, or site reliability engineering, with at least 3 years in a people‑management role.
• Proven track record of building and leading high‑performing SRE or platform engineering teams in a distributed, multi‑timezone environment.
• Deep expertise in cloud platforms (GCP preferred; AWS/Azure acceptable) covering compute, networking, storage, and managed services.
• Strong knowledge of containerisation and orchestration technologies (Kubernetes, Docker) and Infrastructure as Code (Terraform, Ansible).
• Hands‑on experience with observability tools (Prometheus, Grafana, Datadog, ELK Stack) and defining meaningful SLOs/SLIs.
• Experience with CI/CD pipelines and deployment strategies (blue‑green, canary) and release‑engineering best practices.
• Strong programming/scripting skills in Python, Go, or Java for automation and tooling development.
• Excellent communication skills and ability to collaborate effectively across engineering, product, and business stakeholders.
• Strong incident‑management experience with demonstrated ability to lead high‑pressure situations calmly and effectively.

Required skills

• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• Microsoft Azure
• Kubernetes
• Docker
• Terraform
• Ansible
• Prometheus
• Grafana
• Datadog
• ELK Stack
• CI/CD pipelines
• Blue‑green deployment
• Canary deployment
• Python
• Go
• Java