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Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp

First seen by Alion on Nov 13, 2026.

Overview
Company
Impact
Profile match
Locus is developing a real-time tracking and management solution for on-demand businesses. Has raised $2.75 million in funding. Founding team from IIT and BITS with experience at Google, Amazon and eBay.

We're looking for a backend engineer who enjoys solving challenging technical problems, takes ownership of their work, and is motivated by building technology that solves real-world problems. You should be comfortable working in a collaborative environment, learning quickly, and contributing to systems that operate at enterprise scale. Work in a collaborative engineering team with ownership of well-defined technical components and the opportunity to contribute to end-to-end delivery.


The candidate will have responsibilities across the following functions:


Build Reliable Backend Systems:

  • Design, develop, test, and maintain backend services in Node.js, Java or Python that power routing, planning, and execution workflows.
  • Build and maintain integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms.
  • Write clean, maintainable, and production-ready code with a focus on reliability, performance, and scalability.
  • Participate in code reviews, debugging, and production issue resolution to ensure high-quality releases.


Solve Real-World Engineering Problems:

  • Understand customer and business requirements and translate them into practical technical solutions.
  • Collaborate with senior engineers and technical leads to design and implement solutions for complex logistics workflows.
  • Identify performance bottlenecks, investigate failures, and improve the reliability of backend services.
  • Contribute to technical discussions and help evaluate trade-offs across performance, scalability, and maintainability.


Collaborate Across Teams:

  • Work closely with Product, Customer Success, and Platform Engineering to understand requirements and deliver solutions.
  • Participate in customer discussions and integration workshops to understand technical challenges and support successful implementations.
  • Communicate technical constraints, dependencies, and potential risks clearly to relevant stakeholders.
  • Bring insights from implementation and production environments back to the engineering team to improve the product.


Build for Scale and Continuous Improvement:

  • Follow engineering best practices for testing, documentation, code quality, and deployment.
  • Contribute to improving system observability, monitoring, and troubleshooting processes.
  • Identify opportunities to simplify integrations, automate repetitive tasks, and improve development workflows.
  • Take ownership of assigned components, deliver on commitments, and proactively seek feedback to strengthen your technical skills.


Requirements:

  • 4-6 years of experience in backend engineering and development, preferably building and maintaining production systems.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Problem-Solving Skills: Strong analytical skills and the ability to break down complex technical problems into practical solutions.
  • Team Player: Ability to collaborate effectively with cross-functional teams and contribute to shared goals.
  • Ownership: Demonstrated ability to take responsibility for assigned projects and deliver high-quality results.


Technical Depth:

  • Good understanding of distributed systems and microservices, including service communication, failure handling, and reliability.
  • Hands-on experience with relational and NoSQL databases, including data modelling and query optimisation.
  • Familiarity with event streaming or message queues such as Kafka or RabbitMQ.
  • Exposure to cloud platforms (AWS, GCP, or Azure) and containerised deployments using Docker and Kubernetes.
  • Experience building and maintaining production backend services using Node.js or Python.
  • Familiarity with CI/CD pipelines, automated testing, monitoring, and production debugging.


Nice to Have:

  • Background in logistics, supply chain, or transportation management.
  • Experience integrating AI/ML or LLM-based workflows into software systems.
  • Familiarity with geospatial data, routing algorithms, or optimisation engines.
  • Experience building integrations with enterprise systems such as ERP, TMS, WMS, or OMS platforms.

Skills

Distributed Systems, Java, Kafka, Microservices, Node.js, Python, RabbitMQ

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