Senior Member Of Technical Staff- Platform Engineering

About the Role

We are looking for a Senior Engineer to join our Cloud Platform Engineering team and contribute to building and operating a multi-tenant SaaS platform at scale.

This is a hands-on engineering role where you will work across backend systems and cloud infrastructure—building features, solving real production problems, and gradually expanding your ownership.

You will take problems end-to-end, write production-quality code, and collaborate closely with senior engineers on design and architecture.

What You’ll Do

Build & Ship

• Develop and maintain platform components across control plane and data plane
• Build features for tenant provisioning, configuration management, and cluster operations
• Write clean, well-tested, production-grade code and actively participate in code reviews
• Debug and resolve issues in cloud-native, distributed systems

Operate & Improve

• Partner with SRE on observability, alerting, and incident response
• Improve system reliability, scalability, and operability
• Contribute to on-call rotations and build strong production instincts

Collaborate & Grow

• Work with senior engineers on design discussions and RFCs
• Collaborate with cross-functional and global teams
• Participate in hiring and contribute to maintaining a strong engineering bar.

What You’ll Have

Cloud & Infrastructure

• Hands-on experience with AWS, GCP, or Azure (compute, networking, IAM, managed services)
• Experience with Infrastructure as Code (Terraform or equivalent)
• Familiarity with containers and Kubernetes basics (deployments, services, RBAC, namespaces)

Backend Engineering

• Strong programming skills in Go, Java, Python, or similar
• Experience building REST or gRPC APIs in production
• Solid understanding of databases (SQL/NoSQL) and their use at scale

Distributed Systems

• Practical understanding of distributed systems fundamentals (failures, retries, timeouts, HA patterns)
• Experience with observability tools (logs, metrics, dashboards, alerting) and debugging production issues

Security Fundamentals

• Awareness of IAM, secrets management, and network security basics

AI-Augmented Engineering

• Regular user of tools like Copilot, Cursor, Claude for coding and debugging
• Able to leverage AI effectively while applying strong engineering judgment

Good to Have

• Exposure to Kubernetes operators, controllers, or CRDs
• Familiarity with GitOps tools (ArgoCD, Flux)
• Understanding of multi-tenancy concepts (isolation, quotas, lifecycle)
• Experience with observability platforms (dashboards, logging, alerting pipelines)

What Success Looks Like

In 3 months:

• Productive and shipping features with guidance
• Comfortable with codebase, systems, and workflows

In 6 months:

• Owning features end-to-end
• Confident in handling production issues and on-call responsibilities

In 12 months:

• Strong, reliable contributor
• Mentoring junior engineers and taking on broader system-level problems