Staff Software Engineer (Platform Infra)

Most companies are racing to deploy AI, but very few have the foundation to make it work reliably. Atlan is building that missing layer: the context layer for enterprise AI. We connect the business context behind data so humans and agents can operate with far more accuracy and confidence.

With backing from world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures, we've earned the trust of most AI-forward enterprises like General Motors, Nasdaq, Workday and Elastic.

Come build the infrastructure that AI runs on.

What You’ll Own

As an engineer on the Foundation Platform team, you will be responsible for the production infrastructure that powers Atlan’s context layer for AI across AWS, Azure, and GCP, using AI-assisted development tools (such as Claude Code and Cursor) as a natural part of your daily workflow.

You will:

• Own and evolve our multi-tenant infrastructure on Kubernetes, including dedicated clusters per customer and the full tenant lifecycle (provisioning, scaling, migration, and offboarding).

• Make our GitOps deployments faster and safer by improving the ArgoCD and Helm based pipeline that deploys 1,000+ applications across hundreds of tenants.

• Replace manual infrastructure runbooks (for example, Kubernetes upgrades, Private Link setups, DR drills, cluster onboarding) with reliable automation using Infrastructure-as-Code and workflow engines.

• Strengthen observability and efficiency by improving our logging, metrics, and alerting stack and using it to drive better reliability, visibility, and meaningful cloud cost reduction.

• Lead customer-facing infrastructure work and incidents end to end, and turn what you learn into clear runbooks, dashboards, and Claude Skills that help both humans and AI agents operate the platform.

What You Bring

• 10+ years in platform engineering, infrastructure, SRE, or backend systems at a SaaS company, with high ownership, strong written/async communication, and enthusiasm for AI-native development tools.

• Deep hands-on experience operating Kubernetes in production: managing clusters, upgrades, networking and RBAC, and multi-tenant concerns, not just deploying apps.

• Strong GitOps and Helm experience (for example ArgoCD or similar) at meaningful scale, including dealing with sync failures, drift, chart complexity, and improving deployment safety and speed.

• Production-quality infrastructure automation skills in Go or Python; familiarity with TypeScript is a plus.

• Solid cloud and Infrastructure-as-Code foundation: deep experience with at least one major cloud (AWS, GCP, or Azure), and having designed, written, and reviewed substantial Terraform or Crossplane modules.

• Comfort debugging end to end across GitOps pipelines, Kubernetes, and cloud provider layers when deployments or tenants are stuck.

• Experience with multi-tenant SaaS infrastructure, observability stacks (logs, metrics, traces, dashboards), and practical cloud cost optimisation (for example autoscaling, instance strategy, or savings mechanisms), ideally with exposure to workflow engines such as Temporal or internal self-service / developer platform tooling.

What Great Looks Like:
The ideal candidate:

• Has led at least one major, cross-cutting infrastructure initiative end to end, such as a deployment pipeline overhaul, Kubernetes upgrade framework, multi-tenant migration, DR architecture, or cost programme, and can explain the system-level impact across reliability, cost, and developer experience.

• Can walk through a Kubernetes and GitOps platform they have built or significantly evolved, and how they improved deployment safety, speed, and operability for other teams.

• Has clear examples of turning manual runbooks into automation for workflows like upgrades, DR, or networking, and making these safe, repeatable, and well-documented.

• Uses observability and cost signals together to drive better reliability and meaningful cloud savings, and is confident owning customer-facing infrastructure and incidents end to end.

• Acts as a technical multiplier through thoughtful design docs, reviews, documentation, and tools or Claude Skills that reduce “how do I do X?” questions for the whole team.

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 and follow us on LinkedIn.

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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