Python Architect

Sri Lanka·Colombomid

ArchitectConstruction & Real Estate

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Quick Summary

Overview

Lead and oversee a team of engineers to ensure successful project delivery from inception through deployment. Define technical requirements and ensure alignment with overall business objectives.

Technical Tools

ArchitectConstruction & Real Estate

Lead and oversee a team of engineers to ensure successful project delivery from inception through deployment.
Define technical requirements and ensure alignment with overall business objectives.
Contribute to architectural decisions and technical solution design.
Collaborate with Product Owners and stakeholders to prioritize tasks and allocate resources effectively.
Provide technical leadership, mentorship, and guidance to team members.
Foster strong communication and collaboration within the engineering team.
Ensure adherence to coding standards and best practices by conducting code reviews and providing constructive feedback.
Identify and address technical debt and architectural weaknesses proactively.
Evaluate and mitigate technical risks to ensure smooth project execution and timely delivery.
Promote quality-driven software development by enforcing QA standards, testing methodologies, and continuous improvement initiatives (e.g., automation, CI/CD).

Requirements

~1 min read

Demonstrated experience as a Technical Lead or Senior Engineer with strong expertise in Python.
9+ years of overall IT experience, with 4+ years of hands-on experience in Python and Linux.
Ability to articulate and advocate technical solutions in both technical and non-technical environments, applying Agile principles effectively.
Experience integrating with ITSM platforms such as Freshdesk and Freshchat using REST APIs and webhooks.
Strong troubleshooting skills for API calls, JSON payloads, and integration-related issues.
Working knowledge of web frontend technologies (HTML, CSS, JavaScript) sufficient for widget configuration and collaboration.
Strong SQL expertise (Postgres, SQL Server, Databricks).
Comfortable working without an ORM and writing optimized queries directly.
Experience configuring automations, workflows, SLAs, routing rules, and inbox logic.
Preference for command-line tools such as Git, Bash/Zsh, and optionally Vim.
Understanding of outbound communication flows (email, push notifications), including branding and template configuration.
Undergraduate degree in Computer Science, Software Engineering, Logic, Applied Statistics, Actuarial Science, Data Science, or a related discipline is advantageous.
Equivalent practical experience and demonstrable technical expertise will also be considered.