On-site
Part Time
Battle-tested in 350+ deployments across 30+ countries, Locus is an agentic Transportation Management System for all-mile, all-channel, trusted by enterprises like Unilever, Nestlé, and Siam Makro.
The platform unifies orders, capacity, and carrier networks into one living plan, aligning planning, execution, and settlement so promises become proof. AI co-pilots with guardrails surface risk early and recommend the next best move to protect SLAs and reduce empty miles.
In 2025, Locus joined the Ingka Group (IKEA Retail) family, marking a major milestone in our journey. Backed by the scale and strength of IKEA, we continue to operate independently while accelerating our mission to make global supply chains faster, smarter, and more sustainable.
Since 2015, Locus has been on a mission to make logistics decision-making intelligent, sustainable, and real-world ready. Our platform has powered billions of deliveries across 30 + countries for global enterprises, driving measurable impact in cost savings, carbon reduction, and SLA performance. With the strength of the IKEA ecosystem behind us, we’re scaling that impact even further.
Headquartered in Bangalore, with teams across the U.S., U.K., UAE, and Southeast Asia, Locus brings together 170 + engineers, designers, and problem-solvers united by a single goal: to reinvent how the world moves goods.
We look for people who are:
Global in mindset: curious about diverse markets and ideas.
Exact in craft: detail-oriented and committed to excellence.
As a Staff Engineer at Locus, you will play a critical role in defining and driving our backend architecture as we scale globally. You’ll own key systems that handle high volumes of data and transactions, ensuring performance, reliability, and maintainability across distributed environments.
Own one or more core applications end-to-end, ensuring reliability, performance, and scalability.
Contribute to hiring by identifying and attracting top-tier engineering talent.
Strong Computer Science fundamentals — data structures, algorithms, design patterns, and problem-solving.
Self-driven, curious, and adaptable — thrives in a fast-paced startup environment and handles ambiguity effectively.
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