Sr. DevOps Engineer
Company: Machinify Inc.
Location: Palo Alto
Posted on: October 4, 2024
Job Description:
Machinify is the leading provider of AI-powered software
products that transform healthcare claims and payment operations.
Each year, the healthcare industry generates over $200B in claims
mispayments, creating incredible waste, friction, and frustration
for all participants: patients, providers, and especially payers.
Machinify's revolutionary AI-platform has enabled the company to
develop and deploy, at light speed, industry-specific products that
increase the speed and accuracy of claims processing by orders of
magnitude.Machinify is seeking a Sr. 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.Those innovative
thinkers, our people, are the core of what makes Machinify
differentiated in Healthcare. Everyone has a voice. Our teams are
diverse and thrive on trust. We are humans who understand our
customer and work collaboratively to deliver value and make a
difference.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.What you'll do:
- 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.What You Bring:
- 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 we offer:
- Our team is distributed and most of us work from home.
- A flexible and trusting environment where you'll feel empowered
to do your best work.
- Hardworking and supportive colleagues and a leadership team
that understands the importance of recruiting and retaining top
talent.
- Incredible Medical/Dental/Vision benefits for employees & their
families.
- Competitive salary and equity, 401(k) sponsorship, life
insurance.
- Generous Learning and Development Reimbursement policy.The base
salary for this position will vary based on an array of factors
unique to each candidate such as qualifications, years and depth of
experience, skill set, certifications, etc. The base salary range
for this role is $190-200k. We are hiring for different
seniorities, and our Recruiting team will let you know if you
qualify for a different role/range. Salary is one component of the
total compensation package, which includes meaningful equity,
excellent healthcare, flexible time off, and other benefits and
perks.Equal Employment Opportunity at MachinifyMachinify is
committed to hiring talented and qualified individuals with diverse
backgrounds for all of its positions. Machinify believes that the
gathering and celebration of unique backgrounds, qualities, and
cultures enriches the workplace.
#J-18808-Ljbffr
Keywords: Machinify Inc., Manteca , Sr. DevOps Engineer, Engineering , Palo Alto, California
Didn't find what you're looking for? Search again!
Loading more jobs...