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If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.
We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.
Business: CTO Data Technology
Principal responsibilities
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Platform engineering: Design, build, and operate core MLOps platform capabilities across GCP and on-prem Kubernetes (multi-environment, multi-tenant where required).
Standardised delivery paths: Create reusable CI/CD/CT patterns for ML workloads (training, packaging, deployment, promotion, rollback), including reference implementations and templates. -
Workflow orchestration: Engineer and support ML pipelines using Airflow (DAG standards, scheduling, retries, backfills, dependency management, operational runbooks).
Experiment tracking & model registry: Operate and extend MLflow (tracking, artefact storage, model registry, environment promotion, access controls, retention). -
Model serving & batch scoring: Provide platform patterns for:
Batch scoring (scheduled/triggered pipelines, scalable compute, idempotency, reprocessing)
Transaction/near-real-time scoring (low-latency serving, autoscaling, resilience, safe rollouts) -
Observability & reliability: Implement monitoring and alerting for platform and model services (SLIs/SLOs, dashboards, logging, tracing), and lead incident response improvements.
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Security & controls: Embed secure-by-design practices (IAM/RBAC, secrets management, encryption, vulnerability scanning, audit trails) and support evidence needs for releases and operations.
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Enablement: Produce clear documentation, runbooks, and onboarding guides.
Requirements
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Strong software engineering skills (typically Python and Flask ; plus one of Java/Go/Scala/Shell is beneficial), including testing, code review, and maintainable design.
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Hands-on experience building MLOps platforms or shared ML enablement tooling (not just single-model deployments).
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Strong experience with Kubernetes (deployments, services/ingress, configmaps/secrets, autoscaling, resource management, troubleshooting).
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Experience with GCP services relevant to ML platforms (e.g., GCS, IAM, networking, logging/monitoring; plus GKE/Cloud Build where used).
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Proven experience operating MLflow (tracking + registry) and integrating it into release/promotion workflows.
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Proven experience building and operating Airflow pipelines in production (reliability patterns, alerting, operational support).
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CI/CD experience for containerised workloads (build, scan, sign, deploy), plus environment promotion and rollback strategies.
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Observability experience (metrics/logs/traces) and production support mindset (incident management, root cause analysis, continuous improvement).
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Strong understanding of secure engineering practices (RBAC, secrets, least privilege, supply chain security).
You’ll achieve more when you join HSBC.
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
***Issued By HSBC Software Development (GuangDong) Limited***
