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Parthiban Rajasekaran

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Member for

5 months 1 week

Parthiban is an engineering manager in regulated FinTech, focused on building calm, high-performing teams and reliable cloud-native platforms. He writes about AI-assisted engineering, DevOps, observability, and test strategy from a practitioner’s perspective, with an emphasis on what works at scale. He is particularly interested in translating strategy into measurable outcomes using SLIs, SLOs, and modern delivery practices.

Company
Regulated FinTech
Job Function
Architecture - Design
Job Title
Engineering Manager
Industry
Financial Services - Banking - Insurance
Interests
Architecture
Artificial Intelligence/Machine Learning (AI/ML)
CI/CD and Containerization
Cloud
DevOps
Leadership
Monitoring/SRE
Open Source
Process Improvement
Project Management
Release Management
Software Development
Test Automation
Country
United Kingdom

Parthiban is an engineering manager in regulated FinTech, focused on building calm, high-performing teams and reliable cloud-native platforms. He writes about AI-assisted engineering, DevOps, observability, and test strategy from a practitioner’s perspective, with an emphasis on what works at scale. He is particularly interested in translating strategy into measurable outcomes using SLIs, SLOs, and modern delivery practices.

All Articles by Parthiban Rajasekaran


All Stories by Parthiban Rajasekaran

magnifying glass quality Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering

While AI tools dramatically accelerate coding and documentation, they often amplify hidden technical debt and reliability issues. Using a quality-first framework can mitigate these risks, emphasizing human-defined testing, risk-tiered usage, and intent-focused reviews. By shifting focus from output volume to systemic resilience, teams can leverage AI velocity without sacrificing production stability or engineering trust.