Remote job · IT and software
Staff Software Engineer
In one line: Staff Software Engineer is a remote role in India at a large retail and supply chain company.
- Remote (India)
- A large retail and supply chain company
- Posted 8 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job mnkmaeci2lAbout the role
You will provide technical leadership for two enterprise supply chain platforms, one for traceability and intelligence and one for partner document exchange, building reliable channels that collect and route data at scale.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, India
- Posted8 Oct 2026
- Last checked18 Oct 2026
What you will do
- Design and build scalable ingestion and integration capabilities for supplier, partner, device, file, API and mobile data
- Architect dependable data collection patterns across APIs, file transfer, web and mobile experiences, and event streams
- Build cloud native backend services with Java, Azure, containers, Kubernetes and messaging platforms
- Set observability patterns covering telemetry, metrics, tracing, alerting, dashboards and service level objectives
- Design resilient distributed systems with retries, replay, reconciliation, throttling and data quality controls
- Guide architecture for canonical models, data contracts and event flows, and mentor through reviews and prototypes
What they look for
- Solid grasp of observability engineering, including logs, metrics, traces, alerting and production readiness
- Experience designing ingestion pipelines, data contracts, validation frameworks and event driven systems
- Working knowledge of Azure or a comparable cloud, containers, Kubernetes, CI/CD, security and networking
Questions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in India.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: solid grasp of observability engineering, including logs, metrics, traces, alerting and production readiness; experience designing ingestion pipelines, data contracts, validation frameworks and event driven systems; working knowledge of Azure or a comparable cloud, containers, Kubernetes, CI/CD, security and networking.
How do I apply with Keywordise AI?
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