Engineering Manager, Research & Development

Who we are looking for:

An R&D Engineering Manager to lead and develop a team of engineers (software, quality, or site reliability), with full accountability for delivery outcomes and team performance.

What you will do:

Actively and consistently support all efforts to simplify and enhance the customer experience.
Lead a polyglot engineering team, directly manage and mentor a diverse team of engineers (local and remote).
Act as a hands-on mentor, conducting deep-dive code reviews and creating personalized career development paths for engineers working across varied languages and frameworks.
You are accountable for people management, recruiting for your team, associate career development and performance management.
Serve as the primary technical interface for non-engineering partners, translating complex R&D progress into clear business impact and roadmap updates.
Bridge Research and Production, drive the evolution of R&D prototypes into scalable, production-ready systems, ensuring that experimental code meets long-term stability and performance standards.
Balance innovation with stability by strategically allocating resources to maintain the "innovation-to-maintenance" ration, ensuring core systems remain stable while the team pursues high-risk, high-reward R&D milestones.
Other duties as assigned

What you will need:

4 Year / Bachelors Degree - Computer Science, Engineering, or equivalent required

8 year(s) Technology field
Ability to read, write, speak and understand English.
Providing architectural guidance across a modern stack including Python, Java, React, React Native, Postgres, MySQL, Kubernetes and more.
Strong understanding of RESTful and/or Graph

QL API design patterns to ensure seamless communication between mobile, web, and polyglot backend services.
Practical experience with distributed messaging and streaming platforms, preferably Kafka, to support high-throughput, decoupled microservices.
Experience managing technical roadmaps and resource allocation within Agile or Kanban frameworks, balancing long-term research goals with immediate delivery milestones.
Demonstrated experience leading software teams in a Research and Development or high-innovation environment, specifically taking prototypes from "proof of concept" to production-grade deployment.
Hands-on experience architecting and deploying scalable applications within AWS and GCP, including deep knowledge of their respective storage (S3/GCS) and database (RDS/others) ecosystems.
Familiarity with Python-based machine learning libraries (e.g., PyTorch, Tensor Flow, or Scikit-learn) to support data-heavy research and predictive modeling projects.
Experience managing containerized workloads at scale, particularly in hybrid-cloud or multi-cloud deployments.
Exceptional ability to articulate complex technical trade-offs to non-technical stakeholders and translate business requirements into clear technical specifications for the engineering team.

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