As a backend engineer, you will lead the planning, execution, technical design, testing, and maintenance of the AI Copilot - Irona and its features. You will work closely with CTO to make the technical vision of Propel a reality.

Key responsibilities:

Software Development:

Design, develop, troubleshoot, debug, evaluate, modify, deploy, and document software and systems that meet the needs of customer-facing and internal applications.
Serve as a core member of an agile team, driving user story analysis and elaboration.
Spend the majority of your time performing hands-on software development, including writing code and unit tests.

Innovation & Improvement:

Develop proof of concepts, conduct code reviews, and test in ongoing sprints.
Perform ongoing refactoring of code, utilizing visualization and other techniques to fast-track concepts.
Bring a mindset of innovation, continuously seeking improvement, challenging the status quo, and implementing creative ideas.

Collaboration:

Develop a deep understanding of integrations with other systems and platforms within the supported domains.
Work closely with the CTO to implement software and systems, driving the technical vision of the platform.
Contribute to automation efforts, ensuring automated test scripts are completed for new features.

Continuous Learning:

Demonstrate a passion for continuous learning, adopting new technologies, and fostering a culture of innovation within the team.
Show willingness to learn, collaborate, and maintain a positive attitude.

Requirements:

Experience:
- 2-3 years of proven experience in building analytics heavy SaaS platforms, ideally having contributed to a 0-1 journey and supported a growing SaaS product.
- 1-2 years of experience in building Agentic AI systems in Sales and Marketing domain would be preferred
Technical Skills:
- Proficient in backend development with strong knowledge of NodeJS and Python.
- Proven expertise in architecting data heavy scalable systems utilising cost effective methods on Azure
- Knowledge of Agentic AI Systems architecture and some exposure to implementing it
- Experience in architecting, developing, and scaling a data pipeline from scratch would be a plus
- Expertise in working with databases such as PostgreSQL and MongoDB, ChromaDB, and messaging queues like Kafka.
- Experience with containerization and orchestration tools, specifically Docker and Kubernetes.
- Familiarity with the Azure cloud platform and its services.
Leadership:
- Capable of leading a team of developers with a problem-solving attitude.
- Strong communication skills and a collaborative mindset.

What You Get:

A key role in a company shaping how marketing works
Competitive salary with high performance incentives
Flexible work arrangements and a dynamic work environment

Required competencies:

Experience in scaling a 0-1 analytics heavy SaaS product with multiple modules to a hyper growth product
Proven leadership skills with the ability to manage diverse teams and complex projects
Excellent communication skills, capable of managing multiple stakeholder relationships

Personal attributes:

Strong organisational skills with meticulous attention to detail.
A heavy execution driven mindset with the love of problem solving
Energetic, dynamic, and proactive in driving technical projects
Ethical and transparent, committed to high standards of integrity
Proactive in identifying opportunities and challenges, with a willingness to take initiative

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