Job Description-
• Having 7 years in Software Engineering
• Hands-on experience working with at least one cloud (AWS)
• Ability to build MLOps pipelines on AWS SageMaker.
• Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift.
• Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
• Ability to understand tools used by data scientist and experience with software development and test automation
• Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies.
• Proficiency in modern programming languages such as Python.
• AWS Machine Learning certification is a huge plus
• Financial services background preferred - Other highly regulated industries would be accepted
Education/Certifications/Years of Experience:
• One of the following certifications preferred: AWS Certified DevOps Engineer, AWS Certified SysOps Administrator, AWS Certified Advanced Networking
• B.S. in Computer Science, Information Systems, or related major or equivalent IS / business experience.
• 8+ years experience years of IS / business experience, more specifically programming, engineering and/or systems analysis. Has a broad level of understanding surrounding information systems.
• 4+ years of strong experience with deployment and administration of J2EE application servers and containers (e.g., Websphere, JBoss, Tomcat, Spring etc.); TIBCO suite of tools; Informatica suite of tools (e.g. PowerCenter, IDQ)
• 4+ years of experience with SOA, ESB, JMS messaging, transaction, XML and/or Web Services integration technologies
Any Gradute