As a Platform Engineer II, you'll build and operate cloud infrastructure, improve developer workflows, and enhance platform reliability using automation and observability tools.
Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com.
As a Platform Engineer II, you’ll be a hands-on cloud and platform engineer focused on DevOps, Developer Experience (DevEx), and platform reliability. You will build and operate core components of the Scaled Innovation platform — the infrastructure, automation, and tooling that enable engineers across Spreetail to ship safely and quickly. This is an execution-focused role for engineers who enjoy automation, infrastructure as code, Kubernetes, and improving how software gets built — not just what software gets built. You’ll work closely with senior platform engineers while growing your ability to design systems that enable others.
How you will achieve success:
- Build Reliable Cloud Infrastructure: Implement and maintain AWS infrastructure using Terraform across EKS, Lambda, EC2, and S3.
- Improve Developer Workflows: Contribute to CI/CD pipelines, starter kits, and internal tooling that reduce manual effort and improve deployment confidence.
- Strengthen Observability & Operations: Add monitoring, logging, and alerting (DataDog) to platform services and participate in on-call rotation.
- Reduce Builder Friction: Improve documentation, automation, and self-service workflows so teams can deploy without deep infrastructure knowledge.
- Grow Through Feedback & Collaboration: Communicate risks clearly, ask thoughtful questions, and actively learn platform design tradeoffs from senior engineers.
What experiences will help you in this role:
- 3–5 years of experience building or operating cloud-native systems.
- Hands-on experience with AWS (EKS, EC2, Lambda, S3 preferred).
- Infrastructure as Code experience (Terraform strongly preferred).
- Working knowledge of Kubernetes and containerized workloads.
- Ability to write production-quality code in Python, C#, or TypeScript, and use SQL for debugging and validation.
Nice-to-have experiences that will help you in this role
- Experience contributing to CI/CD pipelines.
- Exposure to monitoring/observability systems.
- Experience using AI tools (Copilot, Claude, etc.) to improve productivity.
This is a remote position and requires candidates to have an available work-from-home setup
Desktop/Laptop system requirements:
- 4th generation or higher, at least Intel i3 or equivalent processor;
- at least 4GB RAM;
- Windows 10 and above or MAC OSX operating system
- You are required to provide your own dual monitors
A strong and stable internet connection (A DSL, cable or fiber wired internet service with 10 Mbps plan or higher for primary connection)
PC Headset
A high-definition (HD) external or integrated webcam with at least 720p resolution.
Please be aware of scammers. Spreetail will only contact you through Lever or the spreetail.com domain. Spreetail will never ask candidates for money during the recruitment process. Please reach out to [email protected] directly if you have any concerns. Emails from @spreetailjobs.com are fraudulent.
#LI-Remote
Top Skills
AWS
C#
Datadog
Ec2
Eks
Kubernetes
Lambda
Python
S3
SQL
Terraform
Typescript
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