Staff Engineer- Platform Engineering

About the Role

We are looking for a Staff Engineer, someone with 9+ years of exp to join our Cloud Platform Engineering team and take deep ownership of critical platform systems within a multi-tenant SaaS environment.

This role sits at the intersection of backend engineering and cloud infrastructure, focused on building and operating scalable, reliable systems powering both the control plane and data plane.

As a senior technical leader, you will drive key architectural decisions, lead high-impact platform initiatives, and mentor engineers—while remaining hands-on in solving complex engineering problems at scale.

What You Will Do

Architecture & Platform Design

• Lead the architecture and design of core platform subsystems across control plane and data plane
• Build multi-tenant systems with strong isolation, security, and resource governance
• Define and evolve platform abstractions across cloud environments (AWS, GCP, Azure, on-prem)
• Drive architectural reviews and contribute high-quality design proposals (RFCs)

Control Plane Engineering

• Design and build systems for tenant provisioning, lifecycle management, and configuration
• Develop cluster orchestration and management workflows at scale
• Build APIs and automation to enable self-service for internal teams and customers
• Ensure high availability, observability, and auditability of platform services

Data Plane Engineering

• Build high-throughput, low-latency data path components
• Implement strong tenant isolation at the data layer
• Optimize systems for performance, reliability, and cost efficiency

Engineering Excellence

• Uphold high standards in system design, code quality, and operational excellence
• Identify and mitigate risks across reliability, scalability, and security
• Partner with SRE/DevOps on observability, incident response, and capacity planning

Mentorship & Collaboration

• Mentor engineers through design reviews, code reviews, and hands-on guidance
• Contribute to hiring and help maintain a high technical bar
• Collaborate across teams and geographies to drive platform direction

What You’ll Have

SaaS Platform & Multi-Tenancy

• Strong experience building or operating multi-tenant SaaS platforms (silo/pool/bridge models)
• Expertise in tenant lifecycle management and resource governance
• Knowledge of data isolation strategies (schema-per-tenant, DB-per-tenant, row-level security, encryption)

Control Plane & Data Plane Systems

• Experience with control plane/data plane separation and cluster management
• Hands-on with Kubernetes (operators, CRDs, RBAC, namespaces)
• Familiarity with configuration management at scale (GitOps, feature flags, dynamic config)

Cloud & Infrastructure

• Hands-on experience with AWS, GCP, or Azure
• Strong understanding of VPC, IAM, Kubernetes (EKS/GKE/AKS), and IaC (Terraform/Pulumi)
• Exposure to service mesh technologies (Istio, Linkerd, Envoy)

Distributed Systems & Security

• Deep understanding of distributed systems (HA, fault tolerance, scalability)
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry)
• Knowledge of security best practices (zero trust, secrets management, compliance standards)

AI-Augmented Engineering

• Comfortable using AI tools (Copilot, Cursor, Claude) to improve productivity
• Ability to evaluate and apply AI-generated outputs effectively

Good to Have

• Exposure to FinOps (cost attribution, showback/chargeback, cost optimization)
• Experience building observability platforms (logging, metrics, tracing, alerting)
• Contributions to open-source infrastructure or platform projects

What Success Looks Like In 3 months:

• Understand platform architecture and key systems
• Deliver at least one meaningful improvement
• Build strong working relationships

In 6 months:

• Own and deliver a significant platform feature end-to-end
• Identify and address scalability/reliability gaps
• Contribute to hiring and team growth

In 12 months:

• Be a recognized technical leader within the platform team
• Drive measurable improvements in reliability, scale, or developer experience

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