04/07/2018
This W2 position all type of work permits (OPT,CPT,EAD,H4EAD,GC,GC-EAD, no H1B)
Client: Monsanto
Location: St. Louis, MO
Java Full Stack Developers –
The hiring process is 2 steps:
Step 1:
I will call your candidates and have a conversation about their recent project work. The first step will be to have candidates complete an online assessment interview. Due to the volume of openings (They’ve hired 35+ developers in last 4-5 months still have 25+ openings to fill) Monsanto utilizes this assessment as a technical evaluation. I will email the candidates with a test link – it is a recorded session that will include a Q@A portion and a coding test. I will rely heavily on you and your team to outline this process to candidates prior to sending me their resumes (so they know what they are getting into etc.)
Step 2:
I’ll be provided an assessment score once it’s completed. Should they pass – the next and final step will be a 1.5 hour video conference interview. They generally due a resume review, technical inquiries, troubleshooting exercise and then open up to any questions/inquiries from the candidate. A hiring decision will be made after this interview.
Things to note:
I’ve placed 16 developers with Monsanto in the last few months. Candidate communication is important, we want clear communicators, engaging personalities and the ability to convey and highlight past projects. Candidates with at least 3-4 projects in full stack capacity with AWS experience (Deploying app in AWS environment) will be the focus. Monsanto is very big on collaboration and communication – they would almost always prefer a developer who is eager/engaged in learning and collaborating then a Technical SME with poor communication skills.
Java Full Stack Developer:
Monsanto
Location: St. Louis, MO
Length: 12+ months
What you will do:
• Be a critical senior member of a full-stack data engineering team focused on creating distributed analysis capabilities around our scientific datasets
• Think through complex scientific problems and work to solve them by applying cutting edge data engineering practices
• Collaborate closely with your engineering team colleagues and with data scientists across multiple research teams
• Take pride in software craftsmanship, diving deep into code and constantly innovating
Why you should join us:
• Work with other top level talent solving a wide range of complex and unique challenges that have real world impact
• We value the exploration of all relevant technology stacks in order to find the best fit for each dataset
• We prioritize and pursue opportunities to present our work at relevant technical conferences:
• Our environment values your talent over a role or title. Strength of ideas trumps position on an org chart
If you share our values, you should have:
• Fluency in Java (5 years), or demonstrated mastery of another language with clear movement towards one of the JVM languages
• Proven experience (2 years) building and maintaining customer-facing APIs in modern REST frameworks
• A strong familiarity with build and dependency management tools like SBT, Gradle or Maven
• A level of comfort with Unit Testing and Test Driven Development methodologies
• Familiarity with creating and maintaining containerized application deployments with a platform like Docker
• A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS or Google Cloud
• Experience data modeling for large scale databases, either relational or NoSQL
• Demonstrated ability to solve complex problems
Bonus points for:
• Experience working with scientific datasets, or a background in the application of quantitative science to business problems is a nice to have
• Experience with distributed systems, e.g. Mesos, Kubernetes, Spark, Hadoop, distributed databases, grid computing is a nice to have
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation
• Comfortable speaking publicly on relevant work
• Experience contributing to open source projects
• Knowledge of data science practices, to better steer our efforts to support them through the infrastructure we create
CORE Skills Needed:
HTML5
Javascript
AngularJS
Backbone
System Design with SOA/REST/Microservices
Relational Database: Oracle/MySQL
NOSQL stores (MongoDB, Couchbase, Neo4J)
JUnit, ScalaTest, Jbehave, Cucumber
ElasticSearch/Solr
AWS
FYI on 1st round Interview Assessment:
Remember, it’s important you first do a little research on the company – www.monsanto.com. You will need to have videoconference capability as this will be a recorded interview. It’s important that you approach this as a formal interview – i.e. appropriate dress, appropriate background and a nice quiet room with no distractions. Please do not utilize a phone or any other items while completing the assessment.
Please note that the recorded assessment Q&A will address the below items, please see the below video link which will give you a broader idea of Monsanto’s organization.
Please email me to inform me when this has assessment has been completed. Thanks!
http://discover.monsanto.com/who-is-monsanto/
The interview screening will consist of 3 video questions and 1 coding exercise.
Video questions:
1. Tell me about a new technology. Why did you leverage the technology and what was the benefit?
2. Why do you want to work at Monsanto? (this is why it is important you view Monsanto “about us” video links)
3. Tell us about a challenge /problem you recently faced on a project. How did you approach solving it and what was the outcome?
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