Python Architect

• 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

• 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.

Core Competencies

• Strong analytical thinking and data interpretation skills.
• Ability to present technical findings and analysis clearly to stakeholders.
• Strong leadership, mentoring, and team development capabilities.
• Risk management and proactive problem-solving skills.
• Results-driven mindset with focus on quality and efficiency.