At Tektome, we're at the forefront of technological innovation for the AEC industry. Our commitment is to drive excellence, push technological boundaries, and transform the AEC as a whole. We are a spin out of one of the first AI companies in Japan, Incubit. We're looking for dedicated professionals who share our passion and ambition. If you're a developer hungry for challenges and eager to be part of a pioneering tech firm, Tektome is where you belong.
Role
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
Must-Have Qualifications
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-Have Skills
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)
