What you'll do

• Develop and maintain tools to maximise engineering efficiency; such as but not limited to automating deployment infrastructure and database upgrades
• Seek out processes that can be improved with automation and have internal Developer Experience as a main driver. Collaborate and enable engineers to do their jobs more efficiently, working with other engineers on a regular basis
• Create, maintain and test our system disaster recovery process, including tooling to automate the process
• You’ll be able to choose from a selection of AI tools to support day-to-day work (e.g. code generation, investigation, automation, and documentation), and we’ll back sensible experimentation with the right guardrails.
• Handle production incidents, author blameless postmortems and enrich operational playbooks and runbooks
• Monitoring, alerting, and SLO tracking; hands-on SRE work, not just DevOps-style monitoring
• Run performance investigations (load testing, bottleneck analysis) and drive tuning across apps, data stores and AWS.
• Own cost optimisation workstreams: right-sizing, autoscaling policies, workload scheduling, storage tiering, and identifying waste across ECS/Fargate, RDS/Aurora, SQS and observability.
• Be an advocate of the GitOps methodology

We'd love to hear from you if you:

• A software development background, with experience shipping and operating production services, plus strong fundamentals in testing, code review, CI/CD, and debugging.
• Have experience working across the AWS ecosystem, partnering closely with AWS Solution Architects and subject-matter experts to design, review, and operate production systems
• A curiosity about AI and how it’s reshaping software development.
• Collaborative, security-minded, and detail-oriented. We move quickly, so you’ll thrive if you enjoy a fast-paced environment and take pride in doing things the right way.
• Knowledge of platform and ops concepts such as networking and Linux administration
• Experience working with microservices and distributed systems at scale
• Experience with monitoring tools: we use Opentelemetry, Honeycomb, Grafana, Pingdom and Incident.io

Everyone is welcome at Paddle

At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.

Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.

Our Values

• Paddle Together - “None of us, is as smart as all of us”
• Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple”
• Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs”

Why you’ll love working at Paddle

We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.

We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.