At a Glance
- Tasks: Build and operate Python services on Linux while collaborating with DevOps.
- Company: Join a leading tech company focused on innovation and teamwork.
- Benefits: Enjoy competitive pay, health benefits, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make an impact by developing cutting-edge backend services and automation tools.
- Qualifications: 7+ years of Python development experience and strong Linux fundamentals required.
The predicted salary is between 108000 - 132000 $ per year.
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 Fast API / Flask / Django.
Operate services on Linux (RHEL / Ubuntu / Cent OS); manage users, groups, sudoers and file permissions.
Write robust Bash / shell scripts for deployment, scheduling (cron / systemd timers) and 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 Dev Ops on CI/CD, container builds and server hardening.
Must-Have Skills
7+ years of production Python development (3.9+).
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: Fast API, 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
Message brokers — Rabbit MQ, 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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Python Developer in Toronto employer: Kumaran Systems
Kumaran Systems is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the AI-Driven GenAI QA Automation Engineer role. Located in North America, we offer competitive benefits, continuous learning opportunities, and a commitment to employee growth, ensuring that our team members thrive in their careers while contributing to cutting-edge projects in a dynamic Agile environment.
