For the given job description <<Description

What were looking for

At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today  and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport.

We're looking for experienced engineers to help build AppFolio Investment Management. AppFolio Investment Management (https:www.appfolioinvestmentmanagement.com) product is a fast-growing internal startup of a successful, established SaaS company (https:www.appfolioinc.com). We are going after the $7 trillion and growing private equity market which largely still runs on spreadsheets and email. Starting with private equity real estate, we are helping private equity firms build and manage their businesses with purpose-built software that enables them to do everything from investor relations to fundraising to managing the elaborate capital stacks common in modern-day private equity deals.

You'll join one of our domain-focused, full-stack engineering teams, helping build solutions that power private equity investments. You'll learn about the inner workings of private equity investing and help realize our vision to streamline and automate the industry. This is a unique opportunity to get in early with an internal startup that is part of an established public company and help shape the future of the fastest-growing web-based product for managing private equity investments.

Your impact 
Build software solutions that change the game of private equity investmentCollaborate with a very experienced and highly effective team of passionate engineers and product managersTalk directly with customers to understand their challenges and get direct feedback on the features you're buildingOperate in a highly autonomous team that owns the full lifecycle of solutions you build, from discovery to development to production Ship solutions that embody our product values of INVEST -- Intuitive, Valuable, Easy, Secure, TrustworthyWrite code that reflects our technical values of SMART -- Simple, Maintainable, Adaptable, Readable, TestedInteract with colleagues in a way that supports our team values of HEART -- Humor, Effectiveness, Autonomy, Respect, Trust

Must have
The ability to thrive with high levels of autonomy and responsibilityExperience building web-based productsExperience with modern cloud software tools and methodologiesExperience with modern web frameworks and methodologiesExcellent collaboration skills to contribute cross-functionally and in a team setting

Nice to Have
A passion for real estate, investing, or investment managementExperience with AIML technologiesExperience with proptech, fintech, or vertical SaaS

Compensation & Benefits

The base salary that we reasonably expect to pay for this role is: $106,000-$125,000

The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidates skills, education, experience, etc.

Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role andor employment type.

Regular full-time employees are eligible for benefits - see here.

Why AppFolio

We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today  and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport.

Paddle as One.

Statement of Equal Opportunity

At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. Thats why were a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, youre always welcome at AppFolio.

>> the resume: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Professional ExperienceSoftware Engineer of IoT Cloud,05/2014toCurrentBelvedere Trading–Boulder,CO,ChinaI work on the Salesforce IoT Cloud, a massively scalable event processing engine for realtime engagement and analytics.My main focus is that design and implement clusters provision and management for IoT cloud.1. Provision and manage AWS and Heroku resource, heavily involving Cloudformation, EC2, Auto-scaling and ELB, etc.2. Deploy micro-services, manage versioning, upgrading IoT platform properly, scale up and scale down micro-services when necessary. Micro-services that we support use Kafka, Storm, Spark, Cassandra, Kubernetes and so on.3. Find the best practice to store sensitive and critical information, for example, auth token, client secret.4. Customize platform when business needs dynamically, involving Jessicatabase migration, kafka migration, Cloudformation infrastructure upJessicate.We are now co-hosting workloads across 10K customers, batch transforming ~100MM rows of user Jessicata Jessicaily and real-time ingests 7 TB of events Jessicaily, ~80 MB/s sustained.Software Engineer,02/2014to05/2014Locket–City,STATE,Locket is lock screen app that will display image, content based your interests. It was selected by Google as one of "Best apps of 2014".I was mainly focusing on backend development, including intelligent content generation and display.Machine Learning Developer (Intern),05/2013to08/2013British Broadcasting Corporation (BBC)–City,STATE,1. Developed a face detection and recognition program in Java, implementing machine learning algorithms,e.g., eigenfaces (PCA) and fisherfaces (LJessica);2. Applied text mining techniques to subtitles to assist the facial identification of actors in TV programs;3. Achieved up to 98% accuracy rate on stanJessicard face Jessicatabases, e.g., ORL.
EducationMaster of Science:Computational Statistics & Machine Learning,Expected in2013toUniversity College London-London,GPA:Bachelor of Science:Electronic Commerce Computing,Expected inJun 2010toUniversity of Liverpool-Liverpool,GPA:
Technical SkillsProgramming: Java, Python, JavascriptBuilding tool: Gradle, MavenOps related: Puppet, Ansible, Saltstack, Docker, Kubernetes, Jenkins, BashOthers: AWS, Hibernate, Postgres>>. The result is, 

Fit assessment: Good Fit