Software Engineer – Python & Cloud (Backend)

Company: AFFIXCON

Location: Colombo, Sri Lanka

Contact Details

• Email: career@affixcon.com.au

• Website: www.affixcon.com

Role Overview

• Position: Software Engineer – Python & Cloud (Backend)

• Type: Full-Time

• Tech Stack: Python / FastAPI | Cloud Platform

• Description: The role involves building a multi-tenant fraud detection API using email, phone, and IP signals. The platform is currently in its pilot phase and utilizes Python/FastAPI, PostgreSQL, Redis, and scikit-learn.

Key Responsibilities

API & Backend

• Build and maintain FastAPI endpoints with multi-tenant authentication, rate limiting, and structured audit logging.

• Own the Redis caching layer, circuit breakers for vendor resilience, and session management.

• Write and manage Alembic database migrations against PostgreSQL.

Infrastructure & DevOps

• Provision and maintain cloud infrastructure (compute, managed Postgres, Redis, object storage, load balancing).

• Maintain CI/CD pipelines via GitHub Actions including Docker builds, Trivy security scans, and rolling deployments.

• Monitor system health via Prometheus metrics and alerting; respond to on-call incidents.

ML & Decision Framework

• Maintain and evolve the fraud scoring decision framework — thresholds, model overrides, and per-tenant policy configs.

• Support scikit-learn model versioning, audit hash tracking, and deterministic replay of past decisions.

• Contribute to feature engineering and signal design as new vendor data sources are integrated.

Qualifications

• 3+ years of backend engineering experience with Python in a production environment.

• Solid understanding of REST API design, async Python (FastAPI or similar), and relational databases (PostgreSQL).

• Hands-on experience with Docker and deploying to any cloud platform (AWS, GCP, or Azure).

• Comfortable with CI/CD pipelines (GitHub Actions or equivalent) and container security practices.

• Comfortable with automated testing and a code-review / CI-gated workflow.

• Familiarity with ML concepts — model inference, feature pipelines, decision thresholds — even without a deep data science background.

• Experience with Redis or similar caching/messaging systems.

Nice to Have

• Exposure to container orchestration or infrastructure-as-code.

• Knowledge of fraud detection, KYC/AML, or fintech compliance.

• Familiarity with scikit-learn model training, MLflow.

• Experience with observability tooling like Prometheus, Grafana, or similar.

How to Apply

If you meet the above prerequisites, please forward your application to: career@affixcon.com.au

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