Organization & Cleanliness: Adheres to 5S principles by keeping workstations clean, organized, and free of unnecessary items. Follows established guidelines to ensure tools, materials, and equipment are properly stored and maintained.
Safety Mindset: Adheres to all established safety protocols, procedures, and regulatory requirements; maintains mindfulness of self and surrounding work area to promote a safe working environment.
Technical Capability: Understands and follows basic technical instructions and standard operating procedures (SOPs). Evaluates product and determines component replacement needs for low-complexity product.
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Trade Finance Solutions – supporting clients with documentary trade requirements
The team is responsible for several elements of our Strategy, being Strategy & Performance, Correspondent Banking Management, Balance Sheet Management and People.
Local and global TS sales teams advising clients on their cash, trade, liquidity and working capital needs.
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What You Will Do**As an SRE on the team, you will own the reliability and operational excellence of the platform end-to-end. You will define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs), and work closely with engineering and product teams to reduce toil and improve system resilience. You will design and implement observability solutions — covering logging, metrics, and distributed tracing — to give the team deep visibility into platform health.You will lead incident response efforts, conduct thorough post-mortems, and drive systemic improvements to prevent recurrence. Beyond firefighting, you will contribute to the platform's infrastructure-as-code posture, automating provisioning, configuration, and deployment pipelines on cloud and on-premises environments. You will also participate in capacity planning exercises and performance tuning to ensure the platform scales with growing government demand.Collaboration is central to this role. You will work alongside development teams to embed reliability thinking early in the software development lifecycle, reviewing architectures and advocating for operability best practices.**What We Are Looking For**You should have solid hands-on experience with Kubernetes and container orchestration, along with familiarity with CI/CD tooling such as GitLab, Jira, Confluence, Fortify, or similar tools in the DevSecOps space. Strong proficiency in at least one scripting or programming language — Python, Go, or Bash — is expected, as is experience with infrastructure-as-code tools like Terraform or Ansible.You should be comfortable working with cloud platforms (AWS, Azure, or GCP) and have experience setting up and managing observability stacks such as the ELK stack, Prometheus, Grafana, or equivalent. A good understanding of networking, security hardening, and compliance requirements in a government or regulated environment will be a strong advantage.Beyond technical skills, we value engineers who communicate clearly, take ownership, and approach problems with a systems-thinking mindset. Experience working in an agile team and a genuine interest in public sector technology are a plus.**Good to Have**Experience with GitOps workflows, service mesh technologies (e.g. Istio), or secrets management tools (e.g. HashiCorp Vault) would be advantageous. Prior exposure to government ICT standards or IM8 policies is welcomed but not required. AI-native mindset and software engineering skills are highly valued.
Involve in NUDD assessment focusing on components and could be extended to complete product PCBA level.
Perform Design for Assembly (DfA) & Design for Mechanical Assembly (DfMA) assessment to ensure product meets all assembly criteria with no quality issue.
Establish DfMA framework that extends the coverage to all mechanical aspect including material selection, thermal dependency, new technology etc.
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Personalize each guest experience by using the guests names where known. Acknowledge each special occasion where known. Pass on the relevant guest information to the Captains and Server Attendants.
Thank Guests for patronizing the Restaurant as they leave.
Maintain the Guests profile and history, taken note of all special occasions and dates for example birthdays, wedding anniversaries, etc.
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Scope viability and agreement: Collaborate with GCC Execution manager (or relevant GCC technical leads) to ensure that the GCC scope is deliverable and supported by the necessary capabilities and capacities within GCC. Jointly validate the feasibility of the schedule, resource availability, and any unique delivery requirements for the GCC scope with GCC execution managers.
Governance & Process improvement: Champion common process that standardize how GCC is engaged in proposals (under Nexus model). Ensure the region and GCC teams use estimate tools, such as GPET. Ensure they also use templates, like Trusted Content.
Partner Management and Guidance: Serve as a trusted advisor to Sub-Regional Proposal Owners and Commercial teams on how best to use GCC capabilities in bids. Communicate the value proposition of GCC involvement (cost advantage, scalability.) and help ensure partner agreement. Provide guidance/training on GCC scope criteria, engagement processes, and best practices in GCC integration to avoid confusion about roles and expectations.
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Identify, develop and close new business opportunities within hospitals, healthcare groups, government agencies, and private healthcare providers.
Build and maintain strong relationships with key decision-makers, including hospital management, clinicians, radiologists, IT teams and procurement stakeholders.
Develop and execute strategic account plans to achieve and exceed sales targets.
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Spend time with function teams to surface pain points, workflow bottlenecks, and opportunities where AI can create real leverage
Design, build, and iterate on AI-powered solutions using tools relevant to the problem — LLMs, automation platforms, prompt engineering, no-code/low-code tools, and more
Translate technical possibilities into language business teams understand, and translate business needs back into technically workable solutions
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Master’s degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent (PhD preferred).
Strong research record in computer vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research.
Independent, highly analytical, proactive and a team player
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