DevOps/Infrastructure Engineer
First seen by Alion on Aug 18, 2026.
Description :
- Observability & Reliability
- Implement monitoring, logging, and alerting using Prometheus + Grafana
- Debug production issues under pressure
About the Role :
Were hiring a founding DevOps / Infrastructure Engineer (IC) to build and scale our platform from scratch. You will own everything from first deployment
100K+ RPS scale, balancing speed, reliability, cost, and security.
This is a hands-on, high-ownership role - you will define the infrastructure, not just maintain it.
Build Infrastructure from Zero :
- Architect and deploy systems on Amazon Web Services / Google Cloud Platform
- Set up networking, compute, storage, IAM, and environments (dev/staging/prod)
Own CI/CD & Developer Experience :
- Build fast, reliable pipelines using GitHub Actions or similar
- Enable multiple deployments per day with zero downtime
Containerization & Runtime :
- Containerize services using Docker
- Decide when to introduce Kubernetes (and when not to)
Infrastructure as Code :
- Define reproducible infra using Terraform
Scale Systems (10K - 100K RPS) :
- Design for high throughput and low latency (<50ms)
- Introduce caching, async processing, and autoscaling
- Optimize system bottlenecks (DB, network, compute)
Security & Compliance :
- Implement authentication, authorization, and secrets management
- Build systems aligned with banking-grade principles (encryption, audit logs, least privilege)
Must-Have :
Strong fundamentals in :
- Linux, networking, HTTP
- Distributed systems basics (e.g. CAP theorem)
- Experience with at least one cloud platform
- Hands-on with CI/CD, containers, and infrastructure automation
- Ability to design systems, not just use tools
High-Impact Traits :
- You optimize for simplicity first, then scale
- You understand tradeoffs (latency vs consistency vs cost)
- You can debug real production failures
- You take full ownership of uptime and performance
Nice to Have :
Experience with :
- Distributed databases (e.g. Apache Cassandra, MongoDB)
- High-scale systems (10K+ RPS)
- Fintech / payments / security-sensitive systems
- Ship infrastructure that enables fast product iteration
- Scale from 0 ? 100K RPS without major rewrites
- Maintain high uptime and reliability
- Keep infrastructure costs efficient
- Build secure, production-grade systems
Skills
DevOps, Site Reliability, Prometheus, Grafana, AWS, Google Cloud Platform, Cloud Infrastructure, Cloud Services, Monitoring Tools