About the role
Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform.
This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment. Magnify will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the data science team to build models and simulations.
As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.
Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.
Qualifications and Experience
- Bachelors in Computer Science or related field.
- 7+ years of experience working as a software engineer building applications in a high growth, startup environment.
- Strong proficiency in web application development, including data modelling across relational and non-relational data stores, API development, asynchronous workflow orchestration, and development of web-based UIs (e.g. React).
- Advanced proficiency with Typescript/Javascript, Python, or an equivalent language.
- Experience with cloud native environments and Amazon Web Services.
- Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment.
- Excellent written and verbal communication skills.
- Passionate about delivering for users and collaborating with teammates.
- Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.