Softworld AI DevOps Engineer in Boston, Massachusetts
AI DevOps Engineer
Employment Type: Perm
Job Number: 233061
Does change excite you? Do you want to be part of the team that redefines how we get work done? We are changing the way we build software and we want you to be part of it!
The customer is at the focus of everything we do, and millions of end users rely on our products daily. We believe in the value of empowering engineers with the resources to solve critical problems for the future of the business, which is why we need you.
To take our DevSecOps foundational capabilities to the next level, we are seeking an AI Ops Engineer to join our AI Ops team. You will take an engineering-based approach to design and augment existing DevSecOps operations using Machine Learning and Predictive Analytics and be part of a team that will revolutionize the way software is delivered at our client.
Key Accountabilities include:
Define and design the AIOps platform, tools and solution
Create cognitive automations to resolve real operations problems
Build machine learning models and algorithms
Develop smart/intelligent Cloud Automation
Develop Chatbot and intelligent Assistant solutions
Mentor and train others on the team on the relevant technology
Required Skills for this role are as follows:
DevOps knowledge and experience (CI/CD, Process Automation)
Minimum 10+ years progressive experience in systems development, application design and architecture, infrastructure and/or tools.
Scripting and software development (Python & R Programming)
Cloud foundations and services (Azure,)
Microservices (Azure app services or Azure Kubernetes Services)
Containers (Docker and Kubernetes)
Data engineering (Data modeling and big data - (Hadoop, Kafka, Spark, Hive, or HBase))
Machine learning frameworks applicable for operational efficiencies.
Monitoring tools (New Relic, Kibana, Datadog or Splunk etc. )
Version control (Git, GitLab)
Curiosity and innovative mindset, Thought leadership
Bachelor’ s degree in Computer Science or related field of study and/or job experience.
Broad expertise in IT operations (monitoring and supporting Multi-Cloud Environments)
Expertise in applying statistical methods, analysis, pattern recognition and modeling on IT operational data
Hands-on experience in extracting meaningful data from incoming data streams from different sources.
Hands-on experience in applying machine learning techniques and algorithms
Experience/knowledge on various IT infrastructure components that includes server Infrastructure, middle ware, database, application architectures and Cloud Components as well as service management tools, ServiceNow
Experience/knowledge with chatbot and assistant technologies
This is a full time permanent role located in Boston, MA.