As a Software Engineering Lead specializing in Backend development, you will be instrumental in designing, developing, and maintaining high-performance, scalable, and reliable backend systems. This role combines hands-on development with the strategic planning and team-building necessary to execute the company’s technical roadmap. We highly prize engineers who have the ability to build backend systems that combine complex and innovative use of different databases and their structures to achieve a unified ingestion, storage and compute layer for AEC type of data (3D geometry, rasta type data etc) such that AI systems can leverage it.
Responsibilities
- Design, develop, and maintain scalable, high-performance backend systems
- Collaborate with the product engineering team, product managers, and other stakeholders to define and deliver project requirements
- Work with Cloud PaaS to design, develop and scale our products
- Develop APIs and services to enable seamless integration of AI functionalities into our products
- Contribute to the design and review of system architecture, ensuring a balance between performance and cost
- Prototype new innovative solutions that leverage different backend technologies to achieve the goal of a unified data later for AEC data
- Implement and ensure our monitoring solutions are ensuring robust metrics
Requirements
- Master’s degree in Computer Science, Engineering, or a related field
- 10+ years of experience in backend development, with at least 2 years in a leadership role
- Minimum of 2+ years with cloud based services
- Expertise in python, and ideally experience with Django framework
- Strong understanding of cloud services and architecture
- Proficiency in working with SQL, NoSQL and in-memory databases, with a focus on large scale search systems
- Practical experience with graph databases and technologies (e.g., Neo4j etc)
- Familiarity with message brokers (e.g., Kafka, RabbitMQ) and event-driven architecture
- Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
- Excellent problem-solving skills and attention to detail
- Solid understanding of software development principles, design patterns, and best practices
Nice to haves
While not specifically required, tell us if you have any of the following.
- Background in data engineering, including expertise in ETL processes and big data technologies (e.g., Hadoop, Spark)
- Familiarity with Django with Django Ninja, Celery
- Familiarity with TypeScript, React, NextJS V13+, Zod, Tailwind, React Hook Form
- Experience and expertise in one or more of the following languages GO, Rust, etc
- Familiarity with DevOps practices and tools (CI/CD pipelines, monitoring, logging).
