• Deploy Harrison.ai solutions, including software installation, configuration, and system testing. • Remotely build, configure, and manage Ubuntu Linux enterprise systems. • Work with our healthcare industry vendor partners to create and maintain integrations for our customer base. • Implement and design integrations with our partners using messaging standards like RESTful APIs and HL7. • Maintain and manage test environments for problem replication. • Provide systems and demos to internal cross-functional teams and for client demonstrations. • Collaborate with customers to validate the proposed solution architecture and ensure alignment with their workflows and objectives. • Maintain close communication with customers regarding ongoing tasks and expectations. • Take ownership of and manage customer cases and customer expectations professionally. • Provide effective and high-quality technical support (Level 2 and 3) to our growing customer base • Troubleshoot and diagnose customer issues using documentation, knowledge base articles, and the wider technical team. • Document troubleshooting and problem resolution steps for future use. • Correctly escalate technical issues to other internal teams, and work with our development group to resolve advanced issues. • Document all work in line with organisational policies and regulatory guidelines in a timely manner.

• 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.

• Own and lead all SRE-related strategy, standards, and execution. • Embed SRE culture and operational excellence across engineering teams. • Review the current infrastructure and operational model; redesign and rebuild where needed. • Architect, deploy, and maintain scalable, secure production environments. • Define and implement SLIs, SLOs, and uptime targets. • Establish robust monitoring, alerting, and observability practices. • Design and implement incident management, RCA and postmortem processes. • Build and manage sustainable on-call frameworks and escalation models. • Automate the software delivery lifecycle to improve release predictability and safety. • Create reproducible environments and IaaC provisioning templates. • Improve system performance, availability, and reliability. • Support and productionise data platforms and ML workloads. • Partner closely with QA and Engineering leadership to improve release quality and stability. • Ensure infrastructure meets enterprise-grade security and regulatory requirements. • Hire, manage, and mentor a team of SRE engineers.

• Own the Scalr platform's reliability, scalability, and observability • Proactively identify and eliminate risks before they become incidents • Design new architecture components • Promote and enforce SRE and DevOps best practices • Drive strategic technical improvements • Create and maintain the SRE roadmap and backlog • Own the observability strategy end-to-end (monitoring, alerting, dashboards) • Architect and evolve the platform infrastructure • Define and own customer-centric SLIs, SLOs and error budgets • Manage the infrastructure technology stack • Cooperate with other Tech Leads and coordinate interaction with other departments • Lead the resolution of technical challenges