Senior Software Engineer

Seattle, WA /
Engineering – Engineering Core /
Full-time/Remote
Magnify is a next-generation orchestration platform for the post-sales industry. Over 90% of revenue for most companies comes after the initial sale, but the customer experience is disconnected and siloed across multiple technology platforms and teams. Magnify uses AI/ML along with a modern microservices architecture to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is a massive and untapped market by current solutions.
Magnify's initial customers are enterprise Chief Customer Officers and their organizations. These executives are challenged to scale the teams and drive performance across increasing numbers of customer touch points, but struggle with fragmented technologies and manual processes. Magnify meets them at their point of need and solves their critical challenges in this large and growing market of over 4 million CS professionals.
Magnify is a fast-moving startup backed by top-tier investors like Madrona and Decibel, with a veteran and successful leadership team.

The role

Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Senior Software Engineer at Magnify will design and implement systems and code that orchestrate the interaction of machine learning models and automation components to help our customers successfully deliver their products. 

This is an excellent opportunity for someone with a full-stack engineering repertoire and cloud expertise to make a big difference in early product development at our company. Magnify needs problem solvers who like and know how to automate, orchestrate, optimize, simplify complexity, and experiment.

Magnify will depend on the person in this position to make large and small technical decisions and contribute code, designs and documentation. This role will work with leadership to evolve our architecture, set standards, ensure quality and help build team culture as our company grows. Initial responsibilities include working with the team to expand the technical roadmap and implement services, interfaces, integrations and data systems. This role will also establish infrastructure for scaling, testing and securing operations and will work with the data science team to broaden the range and depth of our capabilities.

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.


Qualifications

Communication – Brings a proven ability to communicate with team members and to engage in  creative, thoughtful and energetic discussions with others.
Technology – Has established broad and deep technical skills, including multi-language coding (e.g. python, Node.js, sql/nosql), full stack architecture, data management and system scaling.  Experience with cloud infrastructure (AWS, Azure, or GCP), especially microservices, streaming services, security and data services is required.  Familiarity is required with machine learning practices (ML expertise not required), quality and security coding practices, and standard lifecycle/project management tools. 
Bias for action – Self-starting with a demonstrated practice of product engineering, gap filling, development versatility and doing what is needed to solve problems.
Culture Fit– Our values are a critical part of our hiring profile. We look for people with a commitment to customers, strong ownership, urgency, data driven decision making, curiosity and risk taking, and can be a part of caring community.



Experience

BS or better in computer science, engineering or related field
A minimum of 5 years of experience in software development 
Prior startup experience is preferred
Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.