What do we do?
Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better.
We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally.
The Role:
As a Site Reliability Engineer, you’ll be helping to drive our product and engineering department forward, ensuring reliability on different parts of the Paddle platform and helping our Engineers to work better and more efficiently.
Paddle SRE team’s role is “Everything SRE”, with a focus on infrastructure, reliability standards, and practices. The SRE team is part of the Platform function. By following this model:
It’s easy to spot patterns and draw similarities between services and projects.
We act as a glue between disparate product teams, creating solutions out of distinct pieces of software.
Enable product engineers to use DevOps practices to maintain user-facing products without divergence in practice across the business.
Define production standards as code and work to smooth out any sharp edges to greatly simplify things for the product engineers running their services.
You are empowered to use the right tech for the job. You’ll have the freedom to input into what technology and tooling are used and educate the rest of your colleagues accordingly.
As an SRE, we want you to be a driving force of improving and automating how our product teams develop software at all stages of its lifecycle, which we strive to achieve with strong collaboration and communication with our fellow engineers.
Tech Stack:
Go for our new services
PHP Laravel for our Classic system
Aurora MySQL and PostgreSQL for persistent data storage
Docker in production and local development
AWS ECS Fargate for our runtime
AWS SQS for asynchronous message queues
AWS EventBridge for our event bus
Redis for key/value store
Terraform for resource management
Honeycomb, SLOs and OpenTelemetry for our observability needs
Cloudflare for our firewall and DNS server
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.