DevOps Engineer, Machinify
$190-200k
+ Equity
AI cost reduction platform for healthcare
Job no longer available
AI cost reduction platform for healthcare
501-1000 employees
Job no longer available
$190-200k
+ Equity
501-1000 employees
Company mission
To develop software that helps people get the right medical care, at the right time, at the right price.
Role
Who you are
- Experience in the migration of VM Technologies into a Kubernetes Environment
- 5+ years of production support preferably in a Cloud Environment (AWS, Azure or GCP)
- Degree in Computer Science or equivalent work experience
- Extremely logical with the ability to solve problems in creative and efficient ways
- Knowledge / Experience in the following areas
- Containerization with Kubernetes
- Scripting (python, shell etc)
- Crossplane / Terraform (Infrastructure as code)
- Linux (CentOS/RHEL)
- Spark / Machine Learning running in the Cloud
- Frameworks for distributed machine-learning / AI, such as Azure OpenAI, AWS Bedrock or things like Tensorflow and MxNet
- Good understanding of Operations security practices
- Working in / creating compliant environments such as Hi-Trust / SOC2 etc
- Continuous Integration/Continuous Deployment frameworks
- Citus (Distributed Postgres a plus)
- You are scrappy, fast, adaptable and ambitious
- Critical thinking and problem solving skills
What the job involves
- Machinify is seeking a DevOps Engineer to create, maintain and automate AI/ML cloud technologies with a focus on the continued migration from VMs into Kubernetes for all applicable technology solutions supporting the Machinify Cloud and to do so with an eye to the best future implementation while solving the problems of today
- We do everything at big data scale, high uptime and with an eye to incredible customer experience
- Machinify’s healthcare customers are at the center of everything we do, so we employ innovative thinkers to solve issues our customers don't even have yet and do so with operational excellence
- The DevOps Engineer will provide technical leadership in significant technical, automation, programming, system administration, operational, and software configuration management through partnering with DevOps and Engineering as a whole
- This vital team member will have responsibility for design, engineering, development and integration within production and pre-production environments, and will also be responsible for the programs configuration management, including the planning, design, engineering, implementation and execution of successful build and deployment of code updates to each upstream environment along with planning and implementing the configuration management of all underlying technologies
- Facilitate the movement of VM technologies into Kubernetes through migration or replacement
- Automate everything. Nothing should require manual intervention. We routinely redeploy from the ground up to ensure automation is up to date
- Architect solutions to achieve a high level of performance, reliability, scalability, and security
- Create, maintain and troubleshoot distributed compute AI/ML technologies running in the Cloud
- Collaborate with a great team and learn from each other
- Change the way healthcare companies manage their business
- Be challenged when faced with solving complex problems
- Bring a passion for improving the lives of others by making their jobs easier and more productive
- Be responsible and accountable for everything you build and support
- Communicate effectively with other engineers in the same team, with other teams and with various other stakeholders such as product managers
- Operate in an Agile development environment
Our take
Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically in the healthcare industry, where it has already found success with Payers and secured several market-leader customers.
Healthcare is one of many industries where companies have vast pools of data but struggle to make the most of it due to operational restraints. Machinify makes it easier for Payers to implement AI-powered decision-making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.
With intelligent applications seeing broader adoption in the healthcare market, the company will likely see more funding and growth in the coming years. Its acquisitions of companies such as Performant Healthcare will enable it to easily expand its AI-powered operating system, creating an even more robust offering for clients.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2018
$10m
SERIES A
Mar 2016
$2.8m
SEED
Total funding: $15.6m
Company benefits
- Work from anywhere in the US
- Home office stipend
- Work on big projects that impact millions of lives
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Individual Equity and Tax Advisory services
- Flexible PTO
- Home office stipend
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Leadership
Prasanna Ganesan
(Co-Founder, CTO & Board Member)Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.
David Pierre
(CEO)20 years of experience leading and scaling high-growth healthcare technology companies. Is also CEO at Rawlings, Apixio PI and VARIS.
Salary benchmarks
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