Why This Job is Featured on The SaaS Jobs

This Staff Software Engineer role sits at a core SaaS concern: operating a multi-tenant platform where reliability, isolation, and repeatability directly shape customer experience. The remit spans Kubernetes-based tenancy, GitOps delivery, and cloud infrastructure across AWS, Azure, and GCP, which is characteristic of SaaS products serving enterprise environments with strict expectations around uptime and change control. The emphasis on tenant lifecycle management and customer-linked infrastructure work signals a platform function tightly coupled to real production usage.

For a long-term SaaS engineering path, the work builds durable leverage in areas that recur across modern vendors: standardising deployments at scale, turning operational runbooks into automation, and using observability data to guide both reliability and cost decisions. Exposure to cross-cloud patterns, incident ownership, and infrastructure-as-code design also translates well into senior platform, SRE, or internal developer platform tracks.

This role is best suited to someone who prefers systems-level ownership over feature delivery and is comfortable being accountable for outcomes across multiple layers of the stack. It will fit engineers who enjoy documenting decisions, improving operational ergonomics for other teams, and treating platform capabilities as a product that must be safe to operate under real customer pressure.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

Location

India

Employment Type

Full time

Location Type

Remote

Department

Engineering

Who We Are

Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm. Today, 95% of AI pilots fail because AI systems don’t understand the context behind data: what it means, how it’s governed, and how it should be used.

Atlan connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on.

With Atlan, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and activate that context across analytics, operations, and AI workflows.Trusted by global enterprises like Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic, we’re backed by world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures

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

7+ 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.

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.

Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance.

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.

Atlan

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