Summary
✨ AI‑Generated
Work as a hands-on Platform Engineer helping build and operate a next-generation AI and data platform. You will develop platform services, integrate APIs, manage scalable cloud infrastructure, and support AI applications and data workloads. The role spans Kubernetes, Docker, Terraform, Helm, DevOps, DataOps, and MLOps while working across engineering, AI, data, and business teams.
Highlights
Hands-on role supporting a next-generation AI platform and data lakehouse, with broad exposure across cloud infrastructure, Kubernetes, DevOps, DataOps/MLOps, and cross-functional engineering teams.
Description
Our client, a leading financial institution, is seeking a Platform Engineer to join its growing AI & Innovation team.
This role will support the development, maintenance, and continuous improvement of the organisation’s next-generation AI Platform and Data Lakehouse, contributing to a multi-year digitalisation and transformation programme.
We are looking for a hands-on and technically strong Platform Engineer with solid experience in platform development, cloud infrastructure, Kubernetes, DevOps, and DataOps/MLOps, who is comfortable working across engineering, AI, data, and business teams.
Key Responsibilities:
AI Platform & Data Lakehouse: Develop, maintain, monitor, and automate platform operations supporting AI and data workloads.Platform Development & Integration: Develop services and integrate internal/external APIs, while supporting AI applications and data pipelines.Infrastructure & DevOps: Build and manage scalable infrastructure using Docker, Kubernetes, Terraform, Helm, and CI/CD tools.Testing & Optimisation: Conduct PoCs, acceptance testing, performance monitoring, and evaluate new technologies to improve platform scalability and reliability.
Qualifications and Requirements:
Bachelor’s Degree in Computer Science, Software Engineering, or a related discipline.4+ years of experience in Platform Engineering / Platform Development.Strong hands-on experience with Python, Bash, SQL, Docker, Terraform, Helm, and Kubernetes.Strong experience with Jenkins, Git, and Ansible.Proven experience delivering AI or Data Platforms within large-scale enterprise environments.Strong knowledge of DataOps / MLOps.Public cloud experience with AWS, Azure, or AliCloud is highly preferred.Exposure to Grafana, Prometheus, PyTest, Elasticsearch, LangChain, MLflow, Airflow, Spark, or Iceberg is advantageous.Experience within financial services or international teams is a plus.Strong communication, analytical, and problem-solving skills.
To Apply:
Please apply directly to this posting or email us your Resume/CV to recruiting@pfccgroup.com.
Due to the high volume of applications, only shortlisted candidates will be contacted.
About PFCC Group:
We partner with the world’s most sophisticated financial institutions to unlock sustainable value.
By merging operational excellence with the power of AI and digital transformation, we ensure our clients are equipped to lead, not just keep pace.
Bridging the Gap between Vision and Technical Mastery, we believe that even the most advanced strategy is only as powerful as the people executing it.
That is why we specialize in identifying and placing high-calibre technical talent within the world’s premier financial ecosystems.
Whether it’s securing mission-critical infrastructure or driving global digital shifts, we connect elite IT professionals with opportunities at global financial leaders.
