MogiSmiths Detection Software Engineer Job Postings
Smiths Detection added thirteen software engineer job postings in India in the last seven days.
By Mei-Ling Chen, Mogi Research · Oct 18, 2026
About Smiths Detection
Smiths Detection is an operating company in the manufacturing sector, specifically in security and investigations. It is a public company headquartered in London, England, with a headcount of 3325 employees.
Security and Investigations · Operating company · London, England · 3,325 employees · Skills: communication, excel, ms office, project management
Smiths Detection added thirteen software engineer job postings in India in the last seven days. This is an increase from zero postings in the prior seven day period. The company's software engineer postings saw a significant rise.
This change may reflect an increased need for software engineers at Smiths Detection. It could also be due to the specific crawl window capturing a surge in postings that were not present in the previous period.
The overall volume of software engineer job postings in India fell by thirteen percent in the last seven days. Accenture posted fifty six new jobs, Cisco posted twenty four, and Mastercard posted eighteen.
The numbers
Which employers posted the most new software engineer jobs in India in the last 7 days?
| Name | Last 7 days | The 7 before | Change |
|---|---|---|---|
| Smiths Detection | 13 | 0 | n/a |
| Accenture | 56 | 13 | +331% |
| Cisco | 24 | 16 | +50% |
| Mastercard | 18 | 13 | +38% |
| HARMAN International | 15 | 5 | +200% |
Top roles: Software Engineer (13)
More on Smiths Detection jobs on Mogi.
More on Smiths Detection
Counts are job postings, not hires, from company career sites that Mogi's crawl found. Compares the 7 days to 2026-10-18 with the 7 days before them. Covers IN, all states, Software Engineer. Employers with fewer than five postings in the last eight weeks are grouped together and left out of the rankings. The company details come from the crawl's company profiles, where the crawl has one.
Written by Mei-Ling Chen of Mogi Research, with AI from the table above. Every figure in it comes from that table.
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