About the Role
Role details below.
Responsibilities
- Architect and evolve the internal platforms that power innovation at Spreetail
- Architect Platform Golden Paths: Design and evolve secure, scalable AWS-based golden paths (infra, CI/CD, data, AI) that become the default way teams build and deploy services
- Operationalize AI in the SDLC: Integrate AI-assisted code generation, refactoring, migration, and validation workflows into CI/CD and developer tooling in ways that measurably reduce cycle time and rework
- Design Safe Abstractions Over Complexity: Build secure abstractions over Kubernetes, IAM, networking, and data systems so builders can move fast without deep infrastructure knowledge
- Drive Reliability, Observability & Cost Efficiency: Establish platform guardrails and monitoring patterns that scale quality instead of slowing velocity
- Multiply Engineering Impact: Lead cross-team initiatives, mentor SE II/III engineers, and elevate platform standards across DevEx, AI Ops, and infrastructure domains
Requirements
- 7–10+ years of experience building and operating production systems, with strong hands-on expertise in AWS and Terraform-based infrastructure
- Proven experience designing Kubernetes and/or serverless architectures that balance speed, safety, and scalability
- Experience building or evolving internal platforms, developer tooling, or golden paths used by multiple engineering teams
- Strong understanding of modern data platforms (S3, SQL, Iceberg, data lake patterns) and how infrastructure supports experimentation and scale
- Experience integrating AI into real engineering workflows (e.g., code generation, migration automation, testing, CI validation, internal copilots, or AI Ops patterns)
Work Arrangement
Remote (Worldwide)
