I.t Engineering Lead
full-time
Activities
Solution Architecture:
Identify, validate, and advocate the adoption of suitable digital technologies and frameworks, ensuring
they are appropriate for use case development and consistent with COMPANY's digital strategy.
Lead the architectural design and delivery of digital solutions for LBUs ensuring that all solutions delivered are scalable, secure, resilient,
aligned with COMPANY's business objectives, comply with COMPANY security standards, and support
operational excellence, compliance, and innovation across our operations.
Lead the adoption and integration of cloud-native services on Microsoft Azure and the design and
implementation of on-premises infrastructure and services
Define and enforce DevOps framework and practices for IaC (Infrastructure as Code) and CI/CD (Continuous Integration/Continuous delivery)
Identify and establish the reliability and security of data sources needed for the realization of COMPANY digital solutions.
Manage technical/security risks and create strategies for risk mitigation and contingency planning.
Product Engineering:
Lead and direct software engineering team and third-party software engineers, ensuring that the team meet
expected delivery timelines, quality benchmarks, and contractual obligations for the full product lifecycle
from ideation to deployment and continuous improvement.
Act as the technical authority, providing decisive architectural guidance, problem-solving leadership, and
hands-on technical direction when required to unblock technical issues and maintain delivery momentum.
Accountable for the technical quality and performance of all digital products developed within D&I,
enforcing engineering standards, design principles, and compliance with Company policies, cybersecurity
rules, and regulatory requirements.
Drive engineering excellence by institutionalizing best-in-class practices (Agile, DevOps, Continuous Delivery, automated testing, secure coding, etc.) and ensuring consistent adoption across all development squads.
Own the engineering capability uplift plan, ensuring continuous development of development squads
through structured coaching, mentoring, training, and cross-functional knowledge-sharing initiatives.
Maintain strong strategic alignment with stakeholders, proactively engaging product managers, product
owners, domain experts, and business leaders to anticipate needs, address risks early, and ensure delivery
of high-value digital products.
Ensure transparent communication and reporting, providing D&I and Business leadership with clear visibility
on technical risks, mitigation plans, delivery performance, and progress against the digital roadmap.
Champion a culture of innovation and operational excellence, ensuring that engineering solutions not only
meet requirements but continually push for improved efficiency, reduced technical debt, and higher
business impact.
Ensure comprehensive post-deployment support is provided to all locally developed digital tools currently in
operation.
Help shape the long-term product vision, set digital ambitions, and define the strategy for COMPANY's digital
transformation program, while also serving as a key advocate for change.
Qualifications
University Degree in Computer Science, Engineering, Mathematics, Statistics or any other related discipline.
At least 10 years of experience in IT and Product Engineering with demonstrable experience and knowledge of
Software Engineering, Data
Engineering and Data Analytics.
Experience in enterprise integration and microservices architecture
Extensive knowledge of Agile software development practices (such as Scrum, TDD, CI/CD)
Familiarity with information security vulnerabilities and risk management
Ability to manage complex technical projects and communicate effectively with project stakeholders is required.
Should have excellent sense of organization and methods.
Solution Architecture experience in a large-scale enterprise cloud environment (Azure or AWS) is required.
Experience should cover computing, networks, security, databases, storage, monitoring and big data analytics.
Azure Solutions Architect Expert certification is an advantage.
Expert understanding of various software languages and frameworks: C#, Python, TypeScript, JavaScript, SQL, NoSQL. An understanding of low-code environments like SharePoint and PowerApps is desirable.
Experience with relational and NoSQL databases: Azure SQL, PostgreSQL, MongoDB.
Should have a general understanding of data analytics and machine learning concepts, frameworks, and
technologies and be familiar with model building and data visualization.
Experience in Business Process re-engineering / LEAN is desirable.