Digital Software Engineer Lead Analyst

Requires a Bachelor’s degree, or foreign equivalent, in Engineering (any), Information Technology, Computer Science, or related field
6 years of progressive, post-baccalaureate experience as a Software Engineer, Engineering Senior Manager, Architecture Senior Manager, Deputy Manager, Junior Telecom Officer, or related position involving incident management and deploying applications on Cloud platforms within the financial services domain
6 years of experience must include: Integrated automatic test suites development, including creating enhanced observability and monitoring tools; Vulnerability assessment fixes, including planning and delivery; Software Development Life Cycle process automation to enhance security risk assessments; Mongo OR Oracle databases; and Deploying containerized applications into AWS OR OpenShift Clusters through CI/CD Pipeline
3 years of experience with: Cloud adoption with API and Microservices including private OR public cloud platforms; Site reliability engineering practices to automate workflow and create Monitoring/Observability dashboards in Splunk OR Grafana; Tableau report preparation for SDLC audit compliance analysis; Application migration to Cloud platforms including OpenShift OR AWS; JIRA and ServiceNow for defect and incident management; and Using CI/CD tools Jenkins, BitBucket, Github, RLM OR LightSpeed Enterprise to build and deploy applications.

Implement microservice deployments in Cloud Next Gen Architecture, and enable cloud adoption
Deploy and manage containerized applications on the Enterprise Container Solutions (ECS) platform framework
Utilize Cloud platform to dynamically scale up application instances based on user traffic patterns
Configure applications on ECS platform using Application Programming Interface gateway (APIGEE) and ingress controller
Automate software development life cycle process using automation techniques, MongoDB/Oracle DB and Tableau
Carry out integrated automated testing enablement, and plan and schedule vulnerability management fixes in the Cloud platform
Create and maintain Kubernetes Cluster, as well as deploy and support Litmus Chaos Engineering applications in the Kubernetes Cluster
Drive site reliability engineering patterns, and develop self-service enablement tools and integrated monitoring tools
Leverage understanding of both technical and business risks and its impacts to manage cross functional projects
Communicate risks to business owners for informed decision-making through data visualization and reporting
Continuous Integration and Continuous Delivery (CI/CD) model for fast and efficient onboarding process
Automate code quality, code performance, unit testing, and build processing in CI/CD
Application migration to public and private Cloud platforms including OpenShift and AWS

No preferred qualifications provided.