Staff Software Engineer - Python

We are seeking a staff engineer to support the design and delivery of next-generation AI and generative AI platforms within SIA's AI Factory. This is a hands-on engineering role focused on building scalable, production-grade systems where LLMs, agentic workflows, and machine learning models integrate seamlessly with cloud-native backend services.

You will work closely with product, data science, and platform teams to translate business and client requirements into robust technical solutions. The role requires strong Python expertise, experience with distributed systems and microservices, and a pragmatic approach to delivering reliable, scalable systems in enterprise environments. In addition to technical delivery, you will contribute to architectural decisions, raise engineering standards, and support client-facing engagements through technical leadership and clear communication.

Responsibilities:

• Define and own architecture for backend systems (primarily Python) that integrate AI/ML into production services.

• Deploy, optimise, and scale ML models in collaboration with data science and data engineering.

• Design and maintain cloud infrastructure using Terraform and Helm; support deployments on GCP/AWS.

• Lead containerisation and orchestration best practices (Docker, Kubernetes) for development and production.

• Ensure data integrity and performance across SQL and NoSQL systems (Postgres, MongoDB, etc. ).

• Establish and maintain monitoring and observability: Prometheus, Grafana, logging (Loki/ELK) and alerting.

• Ship backend microservices and platform tooling: APIs, auth, data pipelines, batch/streaming components.

• Contribute to product architecture decisions for both SaaS products and client implementations.

• Act as a technical contact on client-facing projects, translate requirements into technical designs and guide delivery.

Requirements:

• Education: Master's or PhD in a quantitative field such as statistics, mathematics, computer science, economics, or physics.

• 8+ years' engineering experience (or equivalent) building backend systems, demonstrable ownership of architecture and delivery.

• Strong programming expertise in Python, Java, or Java

Script; experience building microservices and backend tooling.

• Hands-on experience with containerisation (Docker) and orchestration (Kubernetes).

• Practical experience with Terraform, Helm, and cloud platforms (GCP/AWS).

• AI-Native Engineering: Experience utilising Cursor, Git

Hub Copilot, or Claude Code as a core part of their daily workflow.

• Familiarity with deploying/operating ML models in production; comfortable collaborating with data science.

• Solid knowledge of relational and NoSQL databases and performance tuning.

• Experience with monitoring/observability stacks (Prometheus, Grafana, ELK/Loki).

• Proven track record mentoring engineers, leading cross-team initiatives, and influencing technical strategy.

• Excellent communicator, able to translate technical trade-offs to engineering leadership and stakeholders.

• Comfortable owning triage, incident decisions, and conducting RCAs.

Good to Have:

• Thinks in systems, not just features.

• Acts as a force multiplier for technical teams.

• Drives clarity in ambiguous technical situations.

• Chooses long-term maintainability over short-term hacks.

• Communicates complex ideas with precision and calm authority.

• Leads through technical credibility, not hierarchy.