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Mojro

Staff Software Engineer

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Description

Responsibilities:

  • Technical Leadership - Lead a pod of 5-8 engineers across backend and frontend.
  • Architect and review, not just approve.
  • Delivery - Drive sprint cadence, unblock bottlenecks, and ship features that enterprise customers stake their operations on.
  • AI Tooling Adoption - Champion the use of AI coding tools across your team. Measure productivity. Present findings. Drive decisions.
  • Quality and Reliability - Own the team's quality bar: automated test coverage, performance benchmarks, RCA rigour.
  • Mentorship - Run 1:1s with intent. Grow senior engineers toward staff, mid-level toward senior. Make learning a team ritual.
  • Cross-Team Influence - Work with Principal Architects, Product, and CSM to shape roadmap, surface technical risks, and defend the right calls.


Requirements:

  • 8-14 years of software engineering experience with at least 3 years leading a team.
  • Deep hands-on backend experience (Java preferred; Python acceptable).
  • Proven ability to design and deliver distributed, multi-tenant SaaS systems.
  • Experience with SQL and NoSQL databases at production scale.
  • Demonstrable use and measurement of AI coding tools in a team context.
  • Strong written and verbal communication; you will interact with enterprise customers and founders.
  • B. E / B. Tech in CS, IS, ECE or equivalent demonstrable experience.
  • A fundamentally strong, unbounded problem solver, someone who sees a hard constraint and looks for a way around it, not a reason to stop.
  • Bonus: awareness of Operations Research techniques linear programming, heuristics, metaheuristics, VRP variants.
  • You do not need to know all of this. You need to lead engineers who do, and you need to learn fast what you do not.


Skills:

  • Backend: Java, Python.
  • Messaging: Apache Kafka.
  • Databases: PostgreSQL (PGBouncer), MongoDB, Redis / Hazelcast, ClickHouse, Elastic
  • Search.
  • Cloud: Azure (AKS, ADLS, Service Bus).
  • Frontend: React, Redux.
  • AI/ML: Familiarity with embedding pipelines, RAG, and agentic frameworks is a bonus.
  • CI/CD: Azure DevOps, Bitbucket Pipelines.

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