SMTS/LMTS Distributed Systems, Public Cloud, GCP, Salesforce

Distributed Systems, Salesforce
India, Hyderabad
January 6, 2026
Regular

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Job Description

As an SMTS/LMTS Distributed Systems Engineer, they will design, build, and operate resilient cloud-native platforms that power Salesforce applications on Google Cloud Platform. They will work on large-scale distributed systems, infrastructure automation, and agentic AI-enabled platforms, ensuring high availability, performance, and reliability for millions of users worldwide.

Date Posted: December 23, 2025

Expiration Date: NA

Experience: NA

Job ID: JR288530

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Primary Responsibilities

  • Creating, running, debugging and designing highly available distributed systems digitally from Public Cloud Platforms.
  • Automating the process of building cloud infrastructure by using tools, workflows, validation frameworks for GCP and other cloud environments.
  • Creating microservices and controlling the deployments and services of these microservices via containerization technologies such as Kubernetes and Docker.
  • Using Terraform, or other IaaS Tools, to build Infrastructure-as-Code so that your deployments can be easily scaled and repeated.
  • Running large scale distributed systems that span thousands of compute nodes and many Data Centers. Resolving complex Production Issues by increasing System Reliability/Performance/Toughness through Enhanced Capability.
  • Routing teams of technical Staff Engineers to perform live-site operations, feature development, and reduce Technical Debt.
  • By participating in an on call rotation, to ensure the continued provision of reliable service and maintaining the highest operational quality.
  • Using and contributing to the Open Source Technology Ecosystems of Kubernetes, Argo, etc.

Essential Qualifications

  • Comprehensive experience in the design and supervision of very large distributed systems.
  • Expertise in Terraform, Kubernetes, or Spinnaker tools.
  • Proficiency in programming with Java, Golang, Python, or Ruby at a high level.
  • Hands-on experience with infrastructure services, such as monitoring, alerting, logging, and reporting, in the battle field.
  • A proven history of taking the reins and managing production-level services.
  • A thorough understanding of concurrent processing, ithe data handling, and fault-tolerant systems designing.
  • A history of working with Agile methodologies and TDD (Test Driven Development) in parallel.
  • Great at troubleshooting and debugging and also very good at tuning the system.

Preferred Qualifications

  • Experience with public cloud services such as GCP, AWS, Azure, or Alibaba Cloud.
  • Familiarity with Falcon or similar security and operational tools.
  • Understanding of AI-powered, agentic, or platform-based architectures.
  • Involvement in large-scale cloud or platform engineering projects.
  • Ability to operate and scale systems for millions of users.
  • Working with multidisciplinary engineering and product teams in challenging environments.