Python/AI/ML CLT

Responsibilities:

Code solutions and implement automated unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements

Design, develop, and modify architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained

Mentor other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack

Execute story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle

Perform proof of concept as necessary to implement new ideas or mitigate risk

Automate manual release activities

Design, develop, and maintain automated test suites (integration, regression, performance)

Ensure solutions meets product acceptance criteria with minimal technical debt

Troubleshoot build and setup failures and facilitate resolution

Ensure execution and delivery meets technology's expectations in terms of the functionality, quality, performance, reliability, and timeline.

Communicate status frequently to technology partners Requirements:

Experience with agile development methodologies and DevOps practices

Ability to understand various / complex application architecture to support setting up Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing

Hands-on DevOps experience for following functions (tools): Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and Unit Testing frameworks), Artifact Management (Artifactory) and Deployment (Ansible)

Hands-on experience in application development in one or more areas including Python, MongoDB, Redis, React Framework, Impala, Spark, Autosys, Shell scripting, Rest services, Containerization

Hands-on experience with Unix/Linux platform, including LDAP-based authentication integration and clustering

Strong understanding of software architecture principles

Experience with enterprise integration patterns

Able to communicate effectively, clearly articulating technical issues, problem incident resolution, readiness status and reporting

Excellent analytical and problem-solving skills

Ability to communicate effectively to a wide range of audience (business stakeholders, developer support teams)

Detail oriented highly organized

Adaptable to shifting competing priorities

Skilled at delegating, mentoring setting expectations

Problem solving skills to diagnose resolve complex issues

Committed and pro-active in ensuring high quality of service Desired skills:

Experience with Database Build Deployment using Datical and Release Orchestration

Experience with developing frameworks and tools specific to AI/ML applications

Familiarity with cloud platforms and development in cloud environments