Loading...
SeniorFull-timeRustAWSGCPAzureKubernetesAIML
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Platform Engineer to join our App Platform team at Atlan. This role involves designing, building, and owning platform services that power app lifecycle, distribution, and runtime. You will be part of a team that enables Atlan's next phase of context-aware metadata, agentic outcomes, and an AI-native product ecosystem.
Key Responsibilities
- →Design, build, and own platform services that power app lifecycle, distribution, and runtime at Atlan
- →Architect systems that support enterprise-grade reliability, scalability, and multi-tenancy
- →Lead complex initiatives end-to-end — from design and RFCs to rollout and long-term ownership
- →Build and evolve cloud-native infrastructure on Kubernetes across AWS/GCP
- →Solve hard distributed systems problems: noisy-neighbor isolation, tenant-aware scaling, fault tolerance, and observability
- →Partner closely with teams across App Runtime, Distribution, Builder Experience, Product, and Infra to make aligned platform decisions
- →Act as a technical leader and multiplier — reviewing designs, mentoring engineers, and setting platform best practices
- →Write production-grade code, leveraging AI-assisted development tools (Claude, Cursor) as a force multiplier
- →Contribute to architectural documentation, RFCs, and long-term platform strategy
Requirements
- ✓8+ years of experience building and operating large-scale backend or platform systems
- ✓Deep expertise in Kubernetes, containerization, and orchestration in production environments
- ✓Strong hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including networking, compute, storage, and security
- ✓Proven experience operating systems at scale—high traffic, distributed, or mission-critical platforms
- ✓Strong understanding of platform engineering principles: reliability, automation, self-service, and developer experience
- ✓Experience designing systems with high availability, fault tolerance, and deep observability
- ✓Demonstrated AI-native mindset: designing platforms assuming non-deterministic workloads, thinking in terms of automation, leverage, and feedback loops, and supporting or building infrastructure for AI/ML or AI-powered systems
- ✓Hands-on experience leveraging AI in your own development workflow to increase speed, quality, and leverage
- ✓Ability to operate at Staff+ level: owning ambiguous problem spaces, driving architecture, and influencing across teams
