Operations Engineer / DevOps
at Counsyl in South San Francisco, CA
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May 11, 2013
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Overview
About Counsyl Engineering
Over the last few years, we've grown from a dorm room start to become one of the largest clinical genome centers in the world. Our pre-pregnancy genomic test is now prescribed by physicians for more than 2% of all births in the United States.
As you might imagine, handling this kind of volume puts us in terra incognita. Our situation is similar to the one faced by Amazon in the 90s, before anyone knew how to scale an operation with such highly interconnected physical and informational components. As an Operations Engineer you'll be building and deploying the hardware and software systems that support secure, large-scale computations on genomic datasets.
To solve the problems associated with scaling the medical genome, we hire generalists rather than specialists. Our engineers are pragmatists who know when to use machine learning and when to use a simple regex, and understand in what sense those approaches are at different ends of a continuum. Many did not have a bioinformatics background before they joined, but all had strong fundamentals in data structures and algorithms.
Experience in general means little to us as genomics is a young field; working code means quite a lot more. If this sounds like your kind of company, we invite you to apply.
You should have a BS, MS, or PhD in Computer Science (or equivalent) and/or significant independent programming experience as demonstrated by Github account, personal web page, or prior employment. The following should also describe you:
Over the last few years, we've grown from a dorm room start to become one of the largest clinical genome centers in the world. Our pre-pregnancy genomic test is now prescribed by physicians for more than 2% of all births in the United States.
As you might imagine, handling this kind of volume puts us in terra incognita. Our situation is similar to the one faced by Amazon in the 90s, before anyone knew how to scale an operation with such highly interconnected physical and informational components. As an Operations Engineer you'll be building and deploying the hardware and software systems that support secure, large-scale computations on genomic datasets.
To solve the problems associated with scaling the medical genome, we hire generalists rather than specialists. Our engineers are pragmatists who know when to use machine learning and when to use a simple regex, and understand in what sense those approaches are at different ends of a continuum. Many did not have a bioinformatics background before they joined, but all had strong fundamentals in data structures and algorithms.
Experience in general means little to us as genomics is a young field; working code means quite a lot more. If this sounds like your kind of company, we invite you to apply.
You should have a BS, MS, or PhD in Computer Science (or equivalent) and/or significant independent programming experience as demonstrated by Github account, personal web page, or prior employment. The following should also describe you:
Experience
You know git inside and out
You get uncomfortable just thinking about red builds or unmonitored processes
You are a Buildbot or Jenkins master
You can make Postgres sing
You know how to write your own tools when off-the-shelf doesn't cut it
You're comfortable supporting a rapidly growing interconnected ecosystem of products
You think devops doesn't just mean a collection of one-off unmaintainable bash scripts
You get excited about decoupling services
You can defend your opinion on Chef vs Puppet
You are comfortable with provisioning servers both physical and virtual
You have a strong understanding of networking and security (DNS, LDAP, VPN, etc)
You want to experience the rise of a startup from the inside, and will enjoy taking care of the practical last mile problems needed to actually achieve a societal ROI on the world's multibillion dollar investment in the Human Genome Project.
Skills
Write, maintain, and scale systems (Linux), critical production services, and developer tools
Work closely with engineers at all layers of the stack, from raw genomic data analysis to integrating with all manner of insurance gateways
Automate anything and everything
Apply superior technology to quite literally save lives
Compensation
Competitive compensation and start-up equity package
Excellent health insurance
Catered meals every day plus a fully stocked fridge
Gym access to work it off
MacBook Pro, 30" monitor, iPad, iPhone, and all the gadgets you need
Excellent health insurance
Catered meals every day plus a fully stocked fridge
Gym access to work it off
MacBook Pro, 30" monitor, iPad, iPhone, and all the gadgets you need
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