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Python Lead
Job Description & How to Apply Below
Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Why Kumaran? We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.
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 Dev Ops 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; / oracledb driver and SQL Alchemy 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.
Qualifications Bachelor's/Master's in Computer Science, Engineering or equivalent.
Comfortable owning services end-to-end — from code to production support.
Strong problem-solving on Linux and clear technical communication.
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