Head of Applications Development

**Job Summary**
- Experienced in the SDLC, including requirements analysis, design, development, testing, deployment, and maintenance.
- Experience with Azure technologies in general, such as Service Fabric, Application Service Environment, Azure Kubernetes Service, Azure DevOps, Azure Monitor, Azure Sentinel, Azure Defender Suite, Azure SQL, Cosmos, Azure APIM, Azure AD, Azure OMS/Application Insights, Global Traffic Manager, etc.
- Experience with AWS technologies, such as CodePipeline, CodeBuild, CodeDeploy, CodeStar, Guardrails, Amazon ECS, AWS Lambda, etc.
- Experience in analyzing the contents and the build process of a container image in order to detect security issues, vulnerabilities or potential risks. Open-source tools such as Dagda, Clair, Trivy, Anchore, etc., can be leveraged for container image analysis.
- Data mining or extracting usable data from valuable data sources
- Using machine learning tools to select features, create and optimize classifiers
- Carrying out preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions

**Key Responsibilities**

**Strategy**
- Towards delivering and living out our TTO Strategy 25 by
- Establish Strong Digital Foundations
- Accelerate Transformation
- Drive Process Excellence

**Business**
- Scope and create technical solutions that contribute to the business’s strategic goals

**Skills and Experience**

**Processes**
- Identify new areas of focus and activity for both internal and external technology communities
- Develop and roll out best practice in Technology domain of expertise or their specialism.
- Rescue, remediate or provide expertise on initiatives with significant technology challenge

**People & Talent**
- Lead through being an role model and build the appropriate culture and values.
- Set appropriate tone and expectations from their team and work in collaboration with risk and control partners.
- Ensure the provision of ongoing training and development of people and ensure that holders of all critical functions are suitably skilled and qualified for their roles ensuring that they have effective supervision in place to mitigate any risks.
- Employ, engage and retain high quality people.
- Responsibility to review team structure/capacity plans.
- Set and monitor job descriptions and objectives for direct reports and provide feedback and rewards in line with their performance against those responsibilities and objectives.
- Work with internal business teams, cross-functional engineering teams, and external vendors.
- Effective conflict resolver and strong leadership skills to deliver on commitments and knowing when to say No to stakeholder

**Risk Management**
- Responsibilities relating to identifying, assessing, monitoring, controlling and mitigating risks to the Group, as well as an awareness and understanding of the main risks facing the Group and the role the individual plays in managing them
- Make recommendations (and/or implement) to relevant stakeholders on possible risk management responses to identified risks and/or findings of concerns from investigations.
- Manage escalations on PEP / Sensitive issues requiring additional assessment and/or controls
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience with Python, Go, Java, or Ruby
- Experience in Infrastructure as Code (IAC) tools like Terraform, Cloud formation
- Experience working with DevOps tools, for ex. Azure ADO and Artifactory
- Experience with Public Cloud platforms, for ex. AWS, Azure or GCP
- Experience in API layer like security, custom analytics, throttling, caching, logging, monetization, request and response modifications etc.
- Experience with Container platforms, for ex. Kubernetes, OpenShift, EKS, AKS or GKE
- Experience in automation using Cloud services, like AWS Lambda or Step Function
- Experience creating Splunk use cases (SIEM) and Splunk query language
- Critical thinking and problem-solving skills
- Communication skills and Decision-making
- Machine Learning - good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description.
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
- Role Specific Technical Competencies

**Certifications**
- Cloud or Container Certifications like CKA, AWS SA, AZ-104, TF Associate
- Languages Configuration as Code - Terraform, Ansible, Helm
- Policy as Code - Checkov, Inspec
- Scripting - Bash, Python
- React or Angular, and back-end frameworks, such as Node.js, Express.js and Django

**Role Specific Technical C