Write clean, well-tested, maintainable code with strong automated test overage (unit, integration, contract and/or E2E)
Use modern CI/CD pipelines (GitHub, Buildkite, skuba/Gantry, Terraform) to ship safely and frequently
Instrument services with Datadog, CloudWatch, Sentry and structured logging to detect, troubleshoot and prevent issues technical leadership inside the squad
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Codify best practices in the form of reusable patterns, templates, and codebases and raise the bar for the whole team on quality and speed
Build highly scalable and secure microservices for the digital bank to realize its vision of being the most efficient and secure digital banking platform
Write the best code in terms of application performance and security
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Deliver intuitive, responsive, and high-performance user experiences.
Integrate AI-powered features into production workflows, including:Retrieval-Augmented Generation (RAG)Source citationsDocument ingestion and parsingVoice notesProject workflows
Collaborate closely with the AI platform team to deliver seamless user experiences.
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Focused on hands-on execution in a fast-paced regional environment.
Overseeing the development, review and quality assurance of sustainability-related content, ensuring accuracy, consistency and alignment with corporate strategy.
Managing content production across sustainability reports, white papers, thought leadership pieces, executive presentations, speeches, media opportunities and stakeholder communications.
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Leverage engineering practices, including development to accelerate delivery while writing clean, maintainable, and well-tested code with strong ownership of quality through reviews and documentation.
Enable reliable delivery of new features and services through effective infrastructure and deployment practices, while optimizing system performance, reliability, scalability, and developer workflows.
Bachelor’s degree or above in Computer Science, Information Systems, Computer Engineering, Information Technology or a related field.
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Leverage engineering practices, including development to accelerate delivery while writing clean, maintainable, and well-tested code with strong ownership of quality through reviews and documentation.
Enable reliable delivery of new features and services through effective infrastructure and deployment practices, while optimizing system performance, reliability, scalability, and developer workflows.
Bachelor’s degree or above in Computer Science, Information Systems, Computer Engineering, Information Technology or a related field.
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At least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor’s Degree, Post Graduate Diploma, Professional Degree in Computer Science/Information Technology or equivalent.
Minimum of 2 years' working experience in the related field.
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Leverage engineering practices, including development to accelerate delivery while writing clean, maintainable, and well-tested code with strong ownership of quality through reviews and documentation.
Enable reliable delivery of new features and services through effective infrastructure and deployment practices, while optimizing system performance, reliability, scalability, and developer workflows.
Bachelor’s degree or above in Computer Science, Information Systems, Computer Engineering, Information Technology or a related field.
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Focused on hands-on execution in a fast-paced regional environment.
Overseeing the development, review and quality assurance of sustainability-related content, ensuring accuracy, consistency and alignment with corporate strategy.
Managing content production across sustainability reports, white papers, thought leadership pieces, executive presentations, speeches, media opportunities and stakeholder communications.
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Backend & API Engineering: Architect and develop robust backend services and APIs. Design and manage relational databases (PostgreSQL) to support application state and complex AI workflows.
Vector Search & Data Handling: Manage and optimize search/retrieval mechanisms using vector databases and search engines (e.g., OpenSearch) to improve data retrieval accuracy and latency.
Agent Observability & Evaluation: Implement telemetry and observability for AI agents (e.g., tracking token usage, latency, and tool-call success). Build mechanisms to evaluate LLM outputs and mitigate hallucinations.
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