MTS3-Platform

MTS3 Cloud Platform Engineering

Job Details

• Level: MTS3
• Experience: 2+
• Location: Bangalore, India (Hybrid)
• Team: Cloud Platform Engineering

About the Role:

We are looking for a Senior Engineer to join our Cloud Platform team and contribute to the development, operation, and reliability of our multi-tenant SaaS platform. You will work on backend systems and cloud infrastructure building features, fixing real production problems, and growing into broader ownership over time.

This is a hands-on role with real ownership. You are expected to take a feature or problem end-to-end, write production-quality code, and work closely with more senior engineers on design and architecture.

What You Will Do:

Engineering & Development

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

Operations & Reliability

• Partner with SRE on observability, alerting, and incident response for services you own
• Improve reliability and operability of platform systems reduce toil, improve monitoring, fix recurring issues
• Contribute to on-call and develop strong instincts for production system behavior

Collaboration & Growth

• Work closely with senior and principal engineers on design discussions and RFCs
• Collaborate with cross-functional teams across geographies
• Participate in hiring conduct interviews and contribute feedback

Must Have:

Cloud & Infrastructure

• Solid hands-on experience with at least one of AWS, GCP, or Azure compute, networking, IAM, and managed services
• Working knowledge of infrastructure as code Terraform or equivalent for provisioning and managing cloud resources
• Comfortable working with containerized workloads Docker, Kubernetes basics (deployments, services, config maps, RBAC, namespaces)

Backend Engineering

• Strong programming skills in at least one backend language Go, Java, Python, or equivalent
• Experience building and operating REST or gRPC APIs in production
• Good understanding of databases relational and NoSQL and how to use them reliably at scale

Distributed Systems

• Practical understanding of distributed systems service dependencies, failure modes, retries, timeouts, and basic HA patterns
• Hands-on with observability structured logging, metrics dashboards (Grafana, Datadog, or equivalent), and basic alerting; able to diagnose production issues using these tools

Security Fundamentals

• Awareness of cloud security basics IAM least-privilege, secrets management, and network access controls

AI-Augmented Engineering

• Uses AI coding assistants Claude, Cursor, Copilot as a regular part of daily workflow for writing, debugging, and reviewing code
• Comfortable using AI tools to understand unfamiliar codebases, generate boilerplate, draft documentation, and speed up routine tasks
• Knows to review AI output carefully and apply judgment before committing or deploying

Good to Have:

• Exposure to Kubernetes operators, controllers, or CRDs
• Familiarity with GitOps workflows ArgoCD, Flux, or equivalent
• Basic understanding of multi-tenancy concepts isolation, resource quotas, or tenant lifecycle
• Experience contributing to or building internal observability dashboards and alerting pipelines

What Success Looks Like

• In 3 months:
• Ramped up, productive, and shipping features with guidance
• Comfortable with the codebase, deployment process, and team workflow
• Engaging actively in code reviews and team discussions
• In 6 months:
• Owning features end-to-end with increasing independence
• Reliable on-call contributor able to diagnose and resolve common production issues
• Proactively improving the quality and observability of systems you work on
• In 12 months:
• Trusted, high-output contributor on the team
• Beginning to mentor interns or junior engineers
• Taking on broader problems that span multiple components or systems