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Engineering Manager at GoCardless
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Manager with 10+ years of experience leading teams to design, build, and scale data-intensive applications and payments systems. Proven record of delivering measurable business outcomes, from using data to build intelligent products aiding in fraud prevention and payment success to increasing data pipeline security and efficiency at fintechs and scale ups. Skilled at growing and mentoring engineers, driving product delivery in cross-functional settings, and building high-performing, healthy teams.
National Institute of Technology Karnataka
Bachelor of Technology (B.Tech.), Computer Engineering
January 1, 2009 – January 1, 2013
GoCardless
Engineering Manager
January 1, 2025 – Present
GoCardless
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December 1, 2018 – April 1, 2022
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PayPal
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February 1, 2015 – December 1, 2015
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June 1, 2013 – January 1, 2015
YourCabs
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May 1, 2012 – June 1, 2012
Indian Institute of Science
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May 1, 2011 – July 1, 2011
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Cultural Fit Analysis
The candidate has a diverse background spanning multiple companies (PayPal, Roadrunnr, Razorpay, GoCardless) and roles, indicating adaptability. Their progression from Software Engineer to Engineering Manager at GoCardless shows a commitment to growth and leadership. However, the target role is 'Frontend Developer', which is a significant pivot from their predominantly backend, data engineering, and management experience. While their project descriptions show breadth in backend and system design, there is no explicit mention of frontend development skills or projects. This misalignment with the target role suggests a potential cultural fit challenge for a dedicated frontend position, unless the role has a strong full-stack or backend-for-frontend component.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Manager and Senior Software Engineer at GoCardless highlights strong leadership, mentoring, and team-building skills. They have demonstrated the ability to establish processes, drive adoption of new paradigms (Data Contracts), and improve operational metrics (reducing alert volume, increasing throughput). Their descriptions indicate a focus on data-driven decision-making and fostering a high-performance culture, suggesting good operational fit for senior roles requiring both technical depth and team leadership.