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API Infrastructure Engineer
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Infrastructure Engineer
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Infrastructure Engineer
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Senior Data Infrastructure Engineer
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DevOps / Infrastructure Engineer
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Sr. Software Engineer, Infrastructure
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Security Ops Infrastructure Engineer
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Windows Developer Infrastructure Engineer
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Staff HPC Infrastructure Engineer
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Founding ML Infrastructure Engineer
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Splunk California, United StatesSplunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out ...
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Senior Software Engineer, ML Infrastructure
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Network Infrastructure Engineer
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TWO95 International Columbia, United States ContractDay-to-day administration, monitoring, and maintenance related to routers, switches, firewalls, load balancers, packet shapers, wireless systems, and circuits. · Design, implement, and monitor network systems related to: Cisco network routers, switches, firewalls, load balancers ...
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Network Infrastructure Engineer
1 week ago
TWO95 International Columbia, United StatesDay-to-day administration, monitoring, and maintenance related to routers, switches, firewalls, load balancers, packet shapers, wireless systems, and circuits.Design, implement, and monitor network systems related to: Cisco network routers, switches, firewalls, load balancers, Wi ...
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Network Infrastructure Engineer
1 week ago
TWO95 International Columbia, United States PermanentJob Title: Network Infrastructure Engineer · Location: Columbia, MO (Hybrid) · Type: Contract to Hire · Rate: $Open /hr. · Requirements · Required Experience: · A minimum of five years of experience working in networking as an engineer or administrator · Must have hands-on ex ...
Founding Data Infrastructure Engineer - California, United States - Delphina
4 weeks ago
Description
About Delphina
Today's Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks.
We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future.
Delphina leverages a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines.
Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML.
What you'll do
We're looking for an experienced Data Infrastructure Engineer to join as a founding team member of Delphina.
As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions.
You will be responsible for:
Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment
Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies
Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations
Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies
What we're looking for
Hands on experience in building distributed systems, including real-time streaming and batch data processing
Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java)
Knowledge about what it takes to deploy and operate high availability production systems in the cloud
Experience designing service-oriented architectures and leveraging various data store technologies
Energy and ambition to build a product that is surprisingly good in surprising ways.
Intrinsic desire to always be improving our product and yourself.
Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done.
Nice to havesExperience working directly on machine learning – either by partnering with scientists and engineers who are building models or by building models yourself
Experience leading cross-functional teams through ambiguous problems
Benefits
Equity in the company
Medical, dental, and vision insurance
401k
Unlimited PTO
Top of the line Apple equipment
Free lunch in the office twice a week
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