Engineering Manager (Salesforce)

Worldline; Mhalunge; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Worldline is seeking an Engineering Manager Salesforce in India to lead a high-performing team focused on Salesforce features within the payments domain. You will drive technical strategy, delivery, and cross-functional collaboration to build secure, scalable fintech solutions.

You will own the Salesforce roadmap, mentor engineers, ensure reliability, security, and regulatory compliance (PCI DSS, PSD2, KYC/AML), and partner with product, security, and legal to deliver impactful outcomes.

Qualifications

• 6+ years of Salesforce and software engineering experience.
• 5+ years of people management or team leadership.
• Proven track record delivering complex Salesforce solutions in payments/banking.
• Hands-on with AI/ML in production is strongly preferred.

Responsibilities

• Lead, mentor, and develop a team of engineers; manage performance, career growth, and staffing plans.
• Own technical roadmap and architecture for Salesforce requirements; ensure system reliability, scalability, security, and maintainability.
• Collaborate with product, design, security, and compliance to translate business needs into robust technical implementations.
• Promote best practices in software development (coding standards, CI/CD, test automation, code reviews, documentation).
• Drive AI/ML initiatives relevant to payments, risk assessment, fraud detection, personalization, or operational automation; ensure proper evaluation, governance, and production readiness.
• Ensure domain-specific compliance with payments industry standards (PCI DSS, PSD2 where applicable), KYC/AML controls, data privacy, and regulatory requirements.
• Oversee incident response, post-mortems, and continuous improvement of reliability and security posture.
• Manage project planning, estimation, risk management, and on-time delivery with measurable outcomes.
• Develop and maintain engineering metrics (velocity, quality, lead time, MTTR) and report progress to leadership.
• Collaborate with platform teams on DevOps, cloud infrastructure, observability, and cost optimization.
• Foster a culture of collaboration, inclusion, and high performance.

Skills

Team leadership

Stakeholder management

Communication

Coaching

Change management

Education

Bachelor's/Master's in CS or related field

Tools

Jenkins

GitHub Actions

TDD/BDD

Prometheus

Grafana

Splunk

Git

Jira

Job description

Job Title: Engineering Manager Salesforce; Payments Domain

About the Role:

Lead and grow a high-performing engineering team focused on Salesforce features within the payments domain. Drive technical strategy, delivery excellence, and cross-functional collaboration to build secure, scalable, and compliant financial technology solutions.

Key Responsibilities:

• Lead, mentor, and develop a team of engineers; manage performance, career growth, and staffing plans.
• Own technical roadmap and architecture for Salesforce requirements; ensure system reliability, scalability, security, and maintainability.
• Collaborate with product, design, security, and compliance to translate business needs into robust technical implementations.
• Promote best practices in software development (coding standards, CI/CD, test automation, code reviews, documentation).
• Drive AI/ML initiatives relevant to payments, risk assessment, fraud detection, personalization, or operational automation; ensure proper evaluation, governance, and production readiness.
• Ensure domain-specific compliance with payments industry standards (PCI DSS, PSD2 where applicable), KYC/AML controls, data privacy, and regulatory requirements.
• Oversee incident response, post-mortems, and continuous improvement of reliability and security posture.
• Manage project planning, estimation, risk management, and on-time delivery with measurable outcomes.
• Develop and maintain engineering metrics (velocity, quality, lead time, MTTR) and report progress to leadership.
• Collaborate with platform teams on DevOps, cloud infrastructure, observability, and cost optimization.
• Foster a culture of collaboration, inclusion, and high performance.

Required Technical Skills:

• Salesforce Sales, Service and Revenue cloud.
• Data & Security: hands-on with data modeling, data privacy, encryption, tokenization; secure coding practices.
• Architecture & Cloud: Optimize Salesforce Operational costs, use best practices in CI/CD and development.
• Payments Domain: understanding of payments rails, settlement, refunds, PCI DSS awareness, risk scoring, fraud detection, acquiring flows.
• Domain Compliance: KYC/AML processes, customer due diligence, regulatory reporting basics.
• Tools: CI/CD (Jenkins, GitHub Actions), TDD/BDD, monitoring (Prometheus, Grafana, Splunk), version control (Git), issue tracking (Jira).

Domain Knowledge:

• Payments ecosystem: card acquiring, card networks, settlement, chargebacks, gateway integration.
• Risk & Compliance: KYC/AML, fraud prevention, risk scoring, AML screening, data privacy regulations (GDPR/CCPA as applicable).

People & Leadership Skills:

• Team leadership: hiring, onboarding, career development, performance management.
• Stakeholder management: partner with product, design, security, legal, compliance, and business units.
• Communication: clear written and verbal communication, technical leadership to non-technical stakeholders.
• Coaching: empower engineers, promote knowledge sharing, and cultivate a collaborative culture.
• Change management: lead through technical debt, refactors, and platform migrations with minimal disruption.

Nice-to-Have:

• Domain certifications (e.g., PCI DSS awareness, Open Banking/PSD2 knowledge).
• Experience with fintech startups or large financial institutions.

Qualifications:

• Bachelors or Masters in Computer Science, Software Engineering, or related field.
• 6+ years of Salesforce & software engineering experience; 5+ years in people management or team leadership.
• Proven track record delivering complex Salesforce solutions in payments/banking domains.
• Hands-on with AI/ML in production is strongly preferred.