Python
Docker
KubernetesRole & Responsibilities
Own the Client’s Outcome:
- Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
- Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
- Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.
Build and Ship:
- Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
- Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
- Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.
Be the Technical Interface with the Client:
- Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
- Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
- Push back when a client request would compromise platform integrity – and propose a better alternative.
Show Up On-Site:
- Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
- Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
- Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.
Make the Next Deployment Easier:
- Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
- Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
- Mentor junior FDEs and raise the technical bar across the team.
Ideal Candidate
- Strong Forward Deployed / Field Engineer
- Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
- Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
- Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
- Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
- Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
- Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
- Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
- Mandatory (Company): Top Product companies / Startups / SaaS / platform companies
Shubham Vishwakarma
Full Stack Developer - Averlon
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You can contact me on nine three one six one two zero one three two
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- Communication skills.
Please let me know if you are interested.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon