DECISIVE ANALYTICS Corporation (DAC) seeks a passionate DevOps Engineer who will own and operate our Machine Learning platforms. The qualified candidate will be bright, energetic and a quick learner who is eager and has a passion to see our Machine Learning capabilities change the world!
We are an award-winning government contractor with a positive company culture that makes for an enjoyable work environment where motivated employees come together to benefit the company and grow professionally. Check us out on Glassdoor to see our reviews and pictures from our office!
Day to day, as our Machine Learning DevOps Engineer you will work with members of all other teams to help create and support local environments, design, build and automate infrastructure and deployment pipelines, and monitor production environments. You will ensure that our Machine Learning capabilities are humming, and troubleshoot any problems that arise. you will be a key linchpin in the Machine Learning team, collaborating with all to ensure we are optimized for success.
* Must possess, or be eligible to obtain, a DoD Secret security clearance * BS in Computer Science preferred * Have a passion for Machine Learning * 3-5 years experience with the technologies listed below: * Build and Deployment Management (Jenkins) * System Administration (Linux & Microsoft) * Docker/Kubernetes container infrastructure and orchestration * Deploying/operating Hadoop clusters and/or streaming analytics infrastructure like Kafka/Storm * Monitoring, metrics collection, and distributed tracing * "Infrastructure as code" - Experience with Ansible / Puppet / etc. * Strong AWS Deployment Experience * Provide system level technical support * Desire to learn new technologies while supporting existing capabilities
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status or disability. VEVRAA Federal Contractor
About Decisive Analytics
Decisive Analytics is a company that provides engineering, analytics, and research services.