WHAT YOU WILL DO?
Build reliable infrastructure at scale. Design and improve cloud infrastructure, Kubernetes, networking, compute, storage, and distributed systems.
Design for failure. Identify bottlenecks, failure modes, and operational risks before they become production issues.
Build safer deployments. Improve CI/CD, testing, rollout strategies, and deployment controls.
Build strong observability. Develop monitoring, alerting, tracing, and operational tooling that makes systems easier to understand and operate.
Improve infrastructure efficiency. Identify opportunities to improve performance, reliability, and cloud cost.
Build AI agents for infrastructure and engineering. Design and ship agents that can use tools and APIs, execute multi-step workflows, troubleshoot issues, or automate operational work.
Make agents safe to operate. Build the right evaluation, permissions, guardrails, observability, and failure handling around agents taking real actions.
Raise the engineering bar. Mentor engineers through architecture reviews, code reviews, technical discussions, and postmortems.
Share on-call ownership. Join the team’s on-call rotation, respond to production incidents, and turn what you learn into fixes, runbooks, and automation that reduce future pages.
WHAT MAKES YOU A MATCH?
You've built AI agents, not just used AI tools. You have shipped agentic systems that perform meaningful work and understand tools, state, workflows, evaluation, and guardrails.
You have strong infrastructure fundamentals. You understand distributed systems, cloud infrastructure, Kubernetes, networking, and production operations.
You've built systems through scale. You have taken infrastructure from relatively early stages to meaningful production scale and can talk about the trade-offs along the way.
You think about reliability by default. Failure modes, blast radius, operational complexity, and recovery are part of how you approach architecture.
You can debug across layers. You’re comfortable moving from application behaviour to Kubernetes, networking, and cloud infrastructure to find root causes.
You build rather than operate manually. Your instinct is to automate repetitive work and build tools that make engineering teams more effective.
You've built platforms other engineers build on. Package registries, artifact stores, CI systems or internal developer platforms all count.
You write things down. At staff level most of your influence comes through design docs and reviews.
Strong signals: Experience with multi-tenant SaaS, distributed systems, infrastructure automation, or production-grade AI agents. Experience with agent orchestration, tool use, evaluation, memory/state, or agent reliability is particularly valuable.
Our stack: AWS/EKS, Kubernetes, OpenTofu, FluxCD, Temporal, VictoriaMetrics, ClickHouse, Grafana, Go, and Rust. You don't need experience with all of these. Strong engineers from other backgrounds can pick them up quickly.
WHY ATLAN?
Joining Atlan means being part of a global movement to help data teams do their life’s best work. Here’s what you can expect:
Competitive Compensation: We benchmark at the top of the market and keep compensation simple: strong base salary, performance‑based variable pay, and impact‑driven equity (for most roles), so your total rewards grow in step with the value you create over time.
AI Native Culture: Atlan is where AI-native builders come to build the systems the future of work will run on. AI isn’t an add-on, it’s woven into how we build, think, and work every day, empowering every Atlanian to move faster and create a bigger impact.
Health & Wellness: From Day‑1 health, dental, vision, and mental health to flexible health stipends, we design benefits offerings that lead in each country we're in.
Flexible Time Off & Leave Policies: We trust you to own your energy: flexible time off and modern leave so you can unplug properly, support yourself and your loved ones, and come back ready to drive an impact.
Accelerated Growth & Learning: Develop at an uncommon velocity through cutting-edge tech, complex implementations, and an experienced team that values mastery.
Global, Remote-First, High-Trust: Work from anywhere with a diverse team across 15+ countries, in a trust-first, async environment that gives you true flexibility and ownership over how you work.
More About Us
Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?”
We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.
To learn more, visit www.atlan.com http://www.atlan.com and follow us on LinkedIn. https://www.linkedin.com/company/atlan-hq/posts/?feedView=all
Equal Opportunity Employer
Atlan is committed to building an inclusive, diverse, and authentic workplace. We do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic.
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