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Role Description

We are hiring for a highly experienced Senior Staff SRE Engineer to act as a senior technical authority within our reliability function. This is a deeply hands-on individual contributor role, to build and operate SRE practices at scale. You will:

• Design and evolve resilient infrastructure
• Drive reliability across multiple engineering streams
• Ensure our AI-driven products operate with high availability, performance, and security
• Work across platform, product, data, and ML teams
• Help productionise models and standardise customer environments
• Strengthen Kubernetes-based architecture
• Mature our CI/CD pipelines end-to-end
• Collaborate with other Staff engineers and Architects to shape the global product architect and technology vision

Responsibilities

• Architect, deploy, and operate scalable, secure production environments (AWS preferred)
• Lead reliability improvements across multiple engineering streams
• Design and evolve Kubernetes-based infrastructure, including migration and optimisation initiatives
• Build and enforce strong Infrastructure-as-Code standards
• Define and operationalise SLIs, SLOs, and error budgets
• Strengthen observability across applications, infrastructure, data pipelines, and ML systems
• Work closely with product and data teams to integrate model analytics and product telemetry into reliability insights
• Work across and optimise the entire CI/CD pipeline, from build to deploy to rollback
• Improve release safety, deployment frequency, and predictability of SLAs
• Lead incident response for complex cross-system failures and drive postmortems
• Reduce operational toil through automation and platform engineering improvements
• Design processes and tooling to absorb, standardise, and troubleshoot customer environments
• Support and productionise ML workloads (MLOps practices including model deployment, monitoring, retraining workflows)
• Ensure infrastructure aligns with enterprise-grade security and regulatory requirements
• Mentor engineers and raise the overall reliability bar across teams

Qualifications

• Extensive hands-on experience in SRE or Production Engineering roles
• Demonstrated experience building or scaling SRE practices in high-growth or complex environments
• Deep expertise in AWS or Azure-based cloud infrastructure
• Strong experience with Kubernetes (including migration, scaling, and production hardening)
• Advanced Infrastructure-as-Code experience (Terraform or equivalent)
• End-to-end CI/CD pipeline design and optimisation experience
• Strong experience with observability tooling across distributed systems
• Experience troubleshooting complex multi-tenant or customer-hosted environments
• Experience supporting production data platforms and ML systems
• MLOps experience, including model deployment and monitoring
• Strong understanding of distributed systems, scalability, and fault tolerance
• Systems thinker who understands interactions across infrastructure, product, data, and ML
• Excellent communication skills and ability to work cross-functionally

Preferred Experience

• Experience in large-scale global B2B/B2C products
• Experience working with AI/ML systems, NLP, or LLM-based products
• Experience integrating product analytics and model performance metrics into operational monitoring
• Background in enterprise environments with strong security and compliance requirements
• Experience implementing regulatory controls within cloud infrastructure
• Experience scaling infrastructure during rapid growth phases
• Experience evaluating infrastructure tooling and vendors
• Experience in collaborating with large scale enterprise customers to deploy and operate environments within their accounts and VPCs

Personal Characteristics

• Strong problem solver who anticipates failure modes
• High ownership mentality and accountability
• Comfortable working across streams and influencing without formal authority
• Learning-oriented with a drive for continuous improvement