Rainforest provides a payments-as-a-service platform that embeds payments into vertical software, offering low-code integration, merchant portability, risk and compliance handling, chargeback management, ACH/bank verification, and APIs for data sharing.
Who is Rainforest? Rainforest is an early stage payments-as-a-service startup that has developed a solution that makes monetizing payments for vertically focused software platforms fair and simple. We focus on small-to-mid sized platforms that want to add value to their small business customers through embedded payments — and want to do so without adding operational or regulatory burdens or costs. Led by a successful repeat fintech founder with deep knowledge of the industry, and with venture backing from a Top 10 VC firm, Rainforest is well positioned to make an impact in the payments-as-a-service space, and we're looking for new team members who want to be a part of this journey! Who we’re looking for We’re looking for a proactive, hands-on Site Reliability Engineer who thrives in building and scaling cloud infrastructure in fast-moving startup environments. You’re someone who enjoys owning systems end-to-end — from infrastructure design to production reliability — and partnering closely with engineers to ship secure, scalable payment platforms. You bring a strong technical foundation, a problem-solving mindset, and a passion for automation, performance, and continuous improvement. If you’re excited about making a real impact in fintech, and helping shape SRE practices as the company grows, you’ll feel right at home at Rainforest. What are some of the high-impact opportunities you’ll tackle? - Owning and scaling Rainforest’s Amazon Web Services (AWS)-based cloud infrastructure using Terraform and infrastructure-as-code (IaC) orchestration - Building, operating, and continuously improving Elastic Kubernetes Service (EKS) and serverless environments that support our core payments services - Designing and maintaining modern CI/CD pipelines with GitLab to enable fast, safe deployments - Implementing and evolving monitoring, alerting, and observability to ensure high uptime and quick incident resolution using tools like OpenTelemetry, Prometheus, and New Relic - Automating infrastructure and operational processes to eliminate manual work and accelerate delivery - Working side-by-side with application engineers to improve system performance, reliability, and scalability - Leading incident response efforts, conducting postmortems, and driving continuous improvement - Helping to define and roll out SRE best practices, including SLIs, SLOs, and error budgets as the company scales - Optimizing for cost, security, and compliance in a regulated fintech environment - Supporting and scaling Postgres database infrastructure using AWS RDS offerings (Global Aurora) This opportunity is for you if you have / are: - 3+ years of experience in SRE, DevOps, or cloud infrastructure roles (startup or high-growth experience a plus) - Passion for building reliable systems that scale with the business - Strong hands-on experience with cloud infrastructure (AWS, Google Cloud, Azure) - Deep experience with IaC using tools such as Terraform, OpenTofu, Terragrunt, and CloudFormation - Solid production experience with container orchestration (Kubernetes, ECS) - Experience building CI/CD pipelines using tools like GitLab and GitHub Actions - Strong understanding of monitoring and observability principles and design and providing dashboards, visualizations and alerts - Proficiency in at least one modern programming language (e.g., Python, Java, Go, or Ruby). - Bachelor’s degree or equivalent work experience in the areas of Information Science, Computer Science, or related disciplines is preferred We offer a comprehensive health benefits package, unlimited paid time off, paid parental leave, a fun and flexible working environment, and continuously invest in our people and our culture. If you require any accommodations throughout the pre-employment process, please contact our HR team at hr@rainforestpay.com