Staff Site Reliability Engineer

Position Summary

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, and ensure our AI-driven products operate with high availability, performance, and security. You will work across platform, product, data, and ML teams, helping us productionise models, absorb and standardise customer environments, strengthen Kubernetes-based architecture, and mature our CI/CD pipelines end-to-end. You will also 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.

Key Requirements

• 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 hardeni
• ng). 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 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.

• 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 hardeni
• ng). 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 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.