site reliability engineer for a 24/7 SaaS platform

SpotMe is a B2B event platform that helps enterprises increase the impact of their events through CRM-connected experiences across in-person, virtual, and hybrid events, as well as webinars. With a focus on life sciences, SpotMe powers Onomi, an HCP engagement product for medical and commercial teams to run congresses, symposia, advisory boards, and webinars.

• Develop and deploy scalable infrastructure using Terraform and AWS cloud-native services
• Contribute to full-stack work across backend and infrastructure or cloud development
• Automate infrastructure provisioning and Jenkins CI/CD pipelines, including image builds with Packer and Docker
• Optimize cloud infrastructure for high availability and cost efficiency
• Monitor and update infrastructure, apply security best practices, and deploy patches and upgrades
• Ensure infrastructure scales smoothly during peak-traffic events
• Participate in the on-call infrastructure rotation, respond to incidents, and resolve them quickly
• Improve monitoring and observability with Datadog, Pingdom, and Elastic to detect issues before they affect end users
• Handle infrastructure support requests and improve incident resolution
• Review infrastructure-as-code change requests, learn monthly patching procedures, deploy critical security patches, run release-validation load tests, and conduct database scaling exercises
• Own security-hardening improvements and deliver Terraform infrastructure-as-code projects from proposal to production
• Build Python-based AWS Lambda functions to automate operational tasks
• Operate autonomously in the on-call rotation and resolve incidents without escalation
• Lead critical infrastructure incident resolution and improve incident response and recovery times
• Lead reliability or technical-debt projects, including moving on-premises build systems to the cloud
• Automate recurring engineering workflows end to end with AI-assisted tools
• Own end-to-end observability for a critical service, including instrumentation, alerting, and dashboards
• Own and improve reliability metrics for critical services against established baselines and agreed targets
• Establish infrastructure standards through Terraform patterns, review practices, and documentation
• Own peak-traffic readiness, including scheduled load testing, capacity reviews, and scaling runbooks
• Embed AI-assisted tools in team workflows and measurably reduce recurring operational work
• Influence infrastructure decisions and prioritise reliability work across teams

• Around five or more years of site reliability engineering experience
• Earlier experience as a system administrator or software developer
• Track record of operating large-scale, business-critical, 24/7 SaaS platforms
• Ability to diagnose and resolve complex system issues under pressure and design for resilience
• Hands-on experience with cloud-native architectures, distributed systems, and high-availability platforms
• Comfortable working with document-oriented and relational databases
• Strong production-grade AWS experience
• Experience with Terraform, Jenkins, GitHub Actions, Packer, and Docker
• Essential: Python programming skills
• Experience using AI coding tools such as Anthropic’s Claude in infrastructure work, with concrete examples of where they help and where they do not
• Clear communication and ability to persuade engineers outside the team to prioritise reliability
• Будет плюсом: Azure, JavaScript, Node.js, Go

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