Sr. Site Reliability Engineer - SRE

We are expanding our Site Reliability Engineering (SRE) team and seeking a highly skilled and passionate Senior SRE to join us. As a member of our growing SRE function, you will play a critical role in ensuring the reliability, scalability, and performance of our mission-critical services. This is an opportunity to shape our SRE practices, drive automation, reduce operational toil, and significantly impact our product's operational excellence.

What You'll Do

• Design, implement, and maintain highly available, scalable, and resilient systems that deliver exceptional customer experiences.
• Serve as a subject matter expert for observability, including monitoring, alerting, logging, tracing, dashboards, and synthetic testing.
• Develop robust, maintainable software and self-service tooling to automate operational tasks and improve reliability.
• Identify and eliminate operational toil through automation, process improvements, and systematic problem solving.
• Lead incident response, participate in on-call rotations, and drive blameless post-mortems.
• Define, implement, and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
• Leverage infrastructure as code, GitOps practices, and CI/CD automation using Terraform, Flux, and GitHub Actions.
• Provide reliability expertise during system design reviews and influence architectural decisions.
• Document processes, build runbooks, and mentor engineers across the organisation.
• Leverage AI responsibly to accelerate investigations, improve documentation, reduce toil, and build intelligent operational workflows while maintaining appropriate human oversight, security, and governance.

What You'll Bring

Core SRE Capabilities

• Demonstrated experience operating and improving production systems at scale in an SRE, Production
• Engineering, or Platform Engineering role.
• Ability to rapidly build accurate mental models of complex distributed systems across infrastructure, applications, networking, identity, and observability domains.
• Strong troubleshooting skills with a methodical, evidence-driven approach to incident response and root cause analysis.
• Experience defining and using SLIs, SLOs, and error budgets to guide reliability decisions.
• Excellent written and verbal communication skills.

Technical Domains

Experience across several of the following areas:

• Kubernetes platforms, including Amazon EKS, and service mesh technologies such as Istio.
• Cloud infrastructure and services within AWS.
• Identity and access management systems, including Auth0 and AWS IAM.\
• Networking fundamentals, including DNS, load balancing, routing, TLS, and connectivity troubleshooting.
• GitOps workflows and infrastructure automation using tools such as Flux and Terraform.
• Observability platforms and practices, including metrics, logs, traces, alerting, dashboards, and synthetic monitoring.
• CI/CD systems and engineering workflows.
• Application logging and distributed system debugging.
• Engineering Mindset

A strong SRE:

• Prioritizes service stability and customer impact during incidents.
• Slows down under pressure, gathers facts, and communicates clearly.
• Reduces operational complexity through automation and simplification.
• Identifies and eliminates toil through self-service tooling and process improvement.
• Demonstrates strong scripting and automation instincts.
• Brings a systems-thinking approach to problem-solving.
• Balances short-term remediation with long-term reliability improvements.

Software Engineering for Reliability

• Demonstrated ability to build and maintain automation, tooling, and self-service capabilities using one or more programming or scripting languages such as Python, Go, or Bash.
• Focuses on applying software engineering practices to improve reliability, reduce toil, and enhance developer productivity. Behavioral Expectations
• Calm and effective during high-severity incidents.
• Skilled at managing complex situations involving multiple teams and competing priorities.
• Able to lead blameless post-mortems and drive meaningful follow-up actions.
• Passionate about continuous improvement and fostering a culture of shared ownership.

AI-Native Operations

• Uses AI assistants effectively to accelerate troubleshooting, root cause analysis, and operational decision-making.
• Validates AI-generated recommendations and understands when human judgement is required.
• Applies AI to automate repetitive tasks, improve runbooks, and create self-service capabilities.
• Identifies opportunities to build AI-assisted workflows for incident response, observability, and platform operations.
• Continuously evaluates emerging AI capabilities to improve reliability, developer experience, and operational efficiency.
• Uses AI to summarise incidents, analyse logs and metrics, accelerate scripting, support code reviews, and generate operational …