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Python Developer

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Onsite

Python Developer

Kumaran Systems

Python Developer

Skills

SQL QueriesDockerDjangoFlaskPythonOracle DatabaseKafkaRedisRabbitMQGrafanaAWSAnsiblePrometheusLinuxKubernetesOracleFastAPITerraformAzure

7 days ago

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Important information


Contract type:

Permanent

Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

14 October 2026

What they need


Summary:

Build, deploy and operate Python services on Linux. The role demands strong Linux fundamentals — including sudo, systemd, shell scripting and permissions — alongside production-grade Python engineering.

Key Responsibilities

  • Design and develop backend services and automation tooling in Python 3.x.

  • Build and consume RESTful APIs using FastAPI / Flask / Django.

  • Operate services on Linux (RHEL / Ubuntu / CentOS); manage users, groups, sudoers and file

permissions.

  • Write robust Bash / shell scripts for deployment, scheduling (cron / systemd timers) and

housekeeping.

  • Package, deploy and monitor services using systemd units, journald and standard Linux tooling.

  • Diagnose production issues using strace, lsof, top, iotop, ss, tcpdump and log analysis.

  • Collaborate with DevOps on CI/CD, container builds and server hardening.

Must-Have Skills

  • 7+ years of production Python development (3.9+).

  • Strong Linux administration: file system, processes, networking, systemd.

  • Deep understanding of sudo and /etc/sudoers — privilege delegation, NOPASSWD rules, security

implications.

  • Proficient in Bash scripting, cron, logrotate and SSH-based automation.

  • REST API frameworks: FastAPI, Flask or Django REST Framework.

  • Oracle database experience — PL/SQL, stored procedures, query tuning; cx_Oracle / oracledb

driver and SQLAlchemy ORM.

  • Virtual environments, pip / poetry, packaging and dependency hygiene.

  • Git-based workflows and code-review discipline.

Good-to-Have Skills

  • Containerization — Docker, Docker Compose, basic Kubernetes.

  • Configuration management (Ansible) or IaC (Terraform).

  • Message brokers — RabbitMQ, Kafka, Redis Streams.

  • Observability stack — Prometheus, Grafana, ELK.

  • Async Python (asyncio, aiohttp) and concurrency tuning.

  • Cloud exposure — AWS or Azure for compute, storage and secrets.

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