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Senior Application Engineer, Back-End Applications - Full Stack Applications

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Job Info

Category Full Stack Applications
Employment Type Full-Time Employment
Compensation $0.00 - $0.00
Location United States, CA - 94402

Client Introduction

You’re reading this job description because you’re likely tired of pouring your heart and soul into software that intrusively targets people with unwanted online advertisements, or perhaps you’re tired of optimizing the shopping-cart and check-out experience within Ecommerce sites such as Walmart and Amazon?

If you’re interested in pouring your heart and soul into technology that’s used to save lives of friends, family and perhaps someday even your OWN, then we might be a terrific fit for you.

Come transform Healthcare through Data!!

We’ve assembled a world-class team of geniuses coming from Healthcare, Data Science and Software Engineering domains. This team is responsible for building a patented platform that ingests significant quantities of clinical data (from a half a billion or more patients) in order to provide preventative healthcare treatment plans before diseases can occur.

Fast Facts:

• Located: San Mateo

• Size: 50 +/- Employees

• Stage: Pre-IPO, well funded, and just closed Series D.

• Technology: You’ll work with technologies that pertain to Microservices, Data Mining, Pattern Recognition and Natural Language Processing across AWS, Spark/Kafka and Elastic Search. In Q1 FY17 we’ll be moving toward a fully containerized architecture.

• Executive Management: Several past successful exits that have included: Clever Sense (Google), Nextbio (Illumina), TomFoolery (Yahoo), InsightsOne (Apigee), Card Spring (Twitter), Socrative (MasteryConnect), MetaCloud (Cisco), Bina Technologies (Roche), Sequenta (Adaptive Biotechnologies).

• Investors: Several past successes such as Docusign, LinkedIn, SendGrid, Taleo and Kiva Systems to name but a few.

Job Description

We are transforming healthcare with data, science and technology. We are leading the industry applying Big Data technology to extract and analyze unstructured and coded clinical data to derive outcome- and cost-related insights. Based in San Mateo, we offer solutions that enable health plans and large provider groups to more accurately and efficiently determine member risk scores for appropriate value-based reimbursement.

• Fast growing and fast moving startup culture.

• Values great teamwork.

• Values and takes pride in great work.

• Values fun always.

• Values learning and sharing of experiences.

• Standard stuff: snacks, catered lunches, weekly wine-down/beer-bash, company outings.

Job Responsibilities

As a senior app backend engineer you will own one or more components of HCC Profiler. You should enjoy collaborating with others on solutions to interesting problems. In addition, you will work side-by-side with other engineers on architecture, integration and maintenance of the application Infrastructure.

Daily responsibilities include Design, Architecture, Development, Code Review, and Testing of key system areas including:

• High Availability RESTful web services

• Data Management Layer

• Security Architecture

• Logging and Monitoring Infrastructure


Nice to Haves:

• Experience building Web Applications (tech: Angular).

• Experience with Security and Access Control implementations.

• Data manipulation and analysis with tools like Python and Shell scripting.

• Experience working on technical side projects or open source contributions.

• Healthcare Domain expertise.

Required Experience

Must Haves:

• Expert-level programming skills in JVM languages: Scala, Java, Groovy, etc.

• Experience developing high scale RESTful web services.

• Familiarity with caching solutions using technologies like Redis.

• Experience scaling application backend.

• Experience with zero-downtime deployment, CI/CD and failover solutions.

• Experience with SQL and a number of noSQL databases, such as Elasticsearch, MySQL, Cassandra, MongoDb.

• Proficiency in Software Development Best Practices.

• Deployed customer-facing software into a Production Environment.

• Demonstrated ownership of large projects or feature sets.

Required Education

• MS or PhD in Computer Science, Applied Mathematics or EE.

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