Senior Software Developer

Job Title - Senior / Staff / Principal Software Developer (Multiple roles)

Job Location - Pune, Maharashtra

Must Have Skills - Golang, C++, Backend Development, Distributed Systems, Experience integrating with SaaS APIs (Microsoft Graph, Google Workspace APIs, or Salesforce Bulk API)

About the Role:

• Our client is building the next generation of our backup storage platform — a unified, cloud agnostic system built to operate at massive scale across trillions of objects and petabytes of data.
• As a Staff Engineer, you will own one or more platform services end to end: design, implementation, testing, and production readiness.
• You work with high autonomy on well-scoped problems and are the go-to technical owner for your domain.

Role & Responsibilities:

• Own the full lifecycle of a platform service — from design through production deployment and on call support
• Build reliable, well tested backend services in Go with a strong focus on correctness and operational simplicity
• Design and implement integrations with SaaS APIs (M365, Google Workspace, Salesforce) — handling rate limits, delta sync checkpointing, and failure recovery
• Collaborate closely with principal and senior engineers on cross service interfaces and data models
• Write high quality code that sets the standard for the engineers around you
• Participate in design reviews and contribute to architectural decisions within your domain

Required Skills:

• 5–8 years of software engineering experience
• Proficiency in Go or strong willingness to work in Go as the primary language
• Experience building and operating backend services on cloud infrastructure (AWS, GCP, or Azure)
• Familiarity with Kubernetes for service deployment
• Working knowledge of SQL databases and REST or gRPC APIs
• Good testing practices — you write tests alongside code, not after

Desired Skills:

• Experience integrating with SaaS APIs (Microsoft Graph, Google Workspace APIs, or Salesforce Bulk API)
• Familiarity with message queues (Kafka, SQS, or similar)
• Exposure to cloud object storage (S3, GCS, or Azure Blob)
• Background in data-intensive or infrastructure-adjacent backend systems