Vacancy expired!
Our client, a market financing company, is seeking a Senior Tech Lead - Cloud Devops & ML Engineer
Location: McLean, VA Position Type: Full Time Our Impact: The iLab (Innovation Lab) Tech Strategy team supports business teams to innovate in the secondary mortgage business by incubating ideas into concepts into products through Lean Product Development and Agile Methodologies. The iLab has brought quite a large number of tools and technologies to rollout game changing products that support the mission of making home possible. Your Impact: In this role, you will be working on the latest cutting-edge tools and technologies as a first mover based on technology trends and in alignment with business objectives. You will be researching, learning and implementing innovative, creative and cost effective ways to safely introduce new technologies to the company's environment. You will be leading a team of:- Cloud Engineers to create Concept Incubation environments to build MVP Alpha and Beta Products which can leverage PII data for in market concept testing of new products and their features
- CI/CD Engineers to promote software code deployments by building and leveraging CI/CD pipelines across the various Incubation Environments across multiple clouds by bringing in BizDevSecOps for Mobile, Microservices, Chatbots & Virtual Agents including the AR/VR (Augmented Reality/Virtual Reality), BlockChain and AI Machine Learning Concepts.
- Automation Test Engineers to ensure the CI/CD pipelines incorporate Automated Tests for Integration/API, UI, Regression, Health Checks & Smoke Testing
- Provide consulting and advice to Machine Learning
- Bachelor's degree in Computer Science or MIS
- 10+ years of experience in DevOps Engineering
- 5+ years of experience in Cloud Native technologies (Amazon Web Services, Google Cloud Platform)
- 4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Bash)
- 5+ years of experience using build and deployment tools (Jenkins, Docker, AWS EKS, AWS ECS, Spinaker, Bitbucket)
- 4+ years of experience using InfoSec tools such as SonarQube, Fortify, etc
- 5+ years of Automated Testing Experience (Gherkin, Cucumber, Selenium, etc.)
- 5+ years of experience working within Agile Development Practices
- AWS DevOps Engineer Professional Certification
- AWS Solutions Architect Professional Certification
- Master's in Computer Science or MIS strongly preferred
- GCP - Professional Cloud Architect strongly preferred
- GCP - Cloud DevOps Engineer strongly preferred
- 1-2 years Mobile CI/CD (Bitrise) & AI Ops experience strongly preferred
- AWS Machine Learning Specialty Certification strongly preferred
- Keys to Success in this Role:
- Proactive Go-getter who likes to pave the path for first mover products/concepts in a company
- Have a Start-up mindset with willingness to learn new things and incorporated key lessons learnt by failing fast build successful products by optimally leveraging NextGen DevOps across multiple clouds
Vacancy expired!