About SpotMe
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.
Responsibilities
•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
Requirements
•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
Nice to have: Azure, JavaScript, Node.js, Go
Conditions
No conditions stated in the posting.
