Bamboo Rose is expanding the engineering team for our newly integrated Plan solution. We are seeking an Intermediate Full Stack Software Engineer with a strong emphasis on services and back-end development to Improve and expand the application services and contribute to the evolution of our enterprise planning product.
You will work as part of a collaborative R&D team focused on delivering high-quality features, and developing the services architecture. This role is ideal for an engineer who thrives in complex systems and is looking to develop new services that exploit a cloud-native ecosystem while modernizing legacy services into a containerized, cloud-native ecosystem.
Key Responsibilities
Back-End & Full Stack Development
Develop high-quality service features using c# and .Net Web Services.
Collaborate with UX and backend engineering to enhance usability, performance, and consistency across the platform.
Improve system performance, scalability, and reliability through well-architected backend solutions.
Work across the full stack as needed to support end-to-end feature delivery.
Participate in full SDLC activities including estimating, coding, code reviews, debugging, and deployment.
Focus on data modelling, SQL database design, schema, statement optimization and performance.
Platform Modernization & Cloud Architecture
Contribute to the cloud migration strategy leveraging Azure, distributed deployments, and modern data technologies.
Support adoption of cross application and enterprise integration services, and event-driven architecture.
Developing strategies and implementing those strategies to support SQL Server and PostgreSQL.
Cross-Functional Collaboration & Support
Partner with Implementation, Consulting, and Support teams to resolve complex issues across the stack.
Collaborate with product & design teams along with services to transition requirements to clear solution engineering statements of work
Provide clear and accurate documentation and technical definitions.
Provide 3rd-line support for customer projects as needed.
Technical Skills & Experience
Essential
Degree or equivalent level qualification
Strong experience with c# and the .Net framework.
Strong SQL database skills (ideally with SQL Server or postgres)
Experience of designing, building and consuming service APIs in a service orientated architecture.
Strong problem-solving and debugging skills across the stack.
Desirable
Practical use of Git based Source Control.
Experience with GRPC.
Containerisation using docker / Kubernetes
Exposure to Java based client frameworks
Exposure to Azure, cloud services, or distributed architectures.
Interest in AI/ML and how it can enhance enterprise software.
Agile sprint methodology
Initial contact (45 min)
Manager interview (1 hour)
Technical deep dive (1 hour)
Peer interview (1 hour)
CTO interview (45 min)
Rencontrez Guillaume, VP AI & Data Engineering
Rencontrez Martin, Customer Success Lead
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