Python Software Developer

Distributed Squad Lead - Job Description

Role Summary

We are seeking a Squad Lead to manage the recon distributed squad, responsible for driving platform modernisation, technical hygiene, and next-generation reconciliation capabilities.

This role requires strong leadership across delivery, platform stability, and innovation, with a focus on AI/ML adoption, and reducing technical debt. The candidate will play a key role in improving planning discipline, execution predictability, and operational efficiency within the squad.

The ideal candidate brings strong hands-on experience in Python, core ML algorithms, data processing libraries, and CI/CD workflows.

He will own the initiatives end-to-endfrom requirement analysis to production deploymentwhile collaborating closely with cross-functional teams.

Key Responsibilities

1. Own end-to-end delivery of squad initiatives across sprints and quarterly roadmap
2. Drive structured sprint planning and track progress against planned scope and ensure predictable delivery
3. Deliver key initiatives such as Machine learning enhancements, Lead EOL remediation, Platform upgrades (Python, libraries, IM upgrades) & Performance improvements for scalability, and resilience.
4. Drive incident management support and Root Cause Analysis (RCA)
5. Drive adoption of AI/ML-driven automation capabilities
6. Act as the critical interface between business, operations, and technology teams
7. Provide structured updates on Delivery progress, Risks and dependencies
8. Lead and mentor a cross-functional squad (Developers, QA, Ops SMEs), drive a culture of Ownership and accountability, Continuous improvement, Collaboration across squads
9. Support upskilling in modern technologies (AI/ML, platform engineering)

Mandatory Experience

1. Experience in Python / Java-based ecosystems
2. Proven experience in Agile delivery and squad leadership
3. Experience managing Platform upgrades and migrations, technical debt reduction / EOL remediation
4. Solid understanding of production support and incident management
5. Strong stakeholder management and communication skills

Mandatory Skills

• Strong Python development experience (debugging + writing optimized code)
• Supervised & Unsupervised ML, Classification models, KMeans clustering
• Model evaluation & performance tuning
• NumPy, Pandas, SciPy, scikitlearn, Matplotlib
• Autosys, Git/GitHub, CI/CD (Jenkins)
• Unix/Linux commands, SQL

Good to Have Skills

1. Experience in Snowflake, Java/Perl, Azure Cloud, GenAI tools (e.g., Copilot)
2. Exposure to AI/ML-driven automation use cases
3. Experience with: Observability tools
4. Prior experience in financial services / capital markets / operations technology
5. Familiarity with large-scale data processing and performance optimization.