
Job Description
Ovii's Interpretation of the Role
Atlan seeks a Principal Software Engineer to own and scale its AI‑native data platform. The role drives architecture, builds core services, and mentors engineers while delivering enterprise‑scale, highly available infrastructure.
Role Snapshot
- Principal Platform Engineer
- Remote (India)
- Full‑Time
- AI‑native infrastructure
- Enterprise‑scale data platform
Must-Have Requirements
- 10+ years platform engineering, infrastructure, or backend systems at a SaaS company
- Enterprise‑scale distributed systems design
- Multi‑tenant architecture and isolation
- Kubernetes and container orchestration
- AWS/GCP/Azure cloud infrastructure
- Service mesh and event‑driven architecture patterns
- platform engineering
- enterprise‑scale distributed systems
Nice-to-Have Signals
- Contract‑driven or schema‑first data platform design
- Temporal or similar workflow orchestration
- Data quality, observability, and cost‑attribution frameworks
- Compliance‑focused enterprise workload support
- CI/CD pipeline design and GitOps practices
- AI‑assisted development tools (Claude Code, Cursor)
- contract‑driven data platforms
- workflow orchestration
Work Setup
- Location: India
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: India
- Employment type: Full-Time
Not Specified in JD
- Salary range
- Visa sponsorship
- Relocation
- Notice period
- Coding test
What You'll Likely Work On
- Design and build platform services, APIs, runtime systems, and ingestion frameworks at enterprise scale
- Architect a multimodal context store that supports structured, unstructured, vector, and graph data
- Solve multi‑tenant isolation and scaling challenges for a SaaS product
- Define data contracts for ingestion, validation, processing, routing, storage, and serving
- Own shared infrastructure components such as lakehouse (Iceberg/Polaris), vector stores, graph databases, and OLTP systems
- Establish technical standards through RFCs, architecture reviews, and documentation
- Mentor senior engineers and influence architecture decisions across multiple teams
- Debug distributed‑system issues across Kubernetes, workflow orchestration, and microservices
Good Fit If You Have
- Enjoys AI‑native development and pioneering new engineering workflows
- Thrives in high‑agency, ambiguous problem spaces
- Strong async communicator who can influence without direct authority
Skills
- Kubernetes & container orchestration
- AWS / GCP / Azure cloud
- Distributed systems patterns (service mesh, event‑driven)
- Multi‑tenant architecture
- Lakehouse technologies (Iceberg, Polaris)
- Vector & graph stores
- CI/CD & GitOps
- Temporal workflow orchestration
- Data quality & observability
- AI‑assisted coding tools
Remote Eligibility
- India