About Payfinia
Payfinia is a SaaS payment hub powering community banks and credit unions across the United States. Our flagship product IPX (Instant Payment Exchange) enables real-time payment processing across major payment rails including FedNow and RTP. We build secure scalable cloud-native financial infrastructure that empowers smaller financial institutions to compete at the highest level.
We are a fast-growing engineering organization with deep roots in AWS microservices and payment compliance. We are looking for a seasoned Engineering Manager to join our leadership team at our India development center.
Role Overview
We are looking for an Engineering Manager based in India who is as comfortable reviewing a system design as they are running a sprint planning session. You will lead one of our core engineering teams take full ownership of feature delivery and work closely with Product QA and DevOps as well as our US-based leadership client teams and financial institution partners.
This is a hands-on leadership role. You will operate through 23 tech leads and senior engineers while personally engaging in architecture reviews critical-path technical decisions and AI-SDLC adoption not just managing timelines. You will be expected to drive autonomous decision-making during India business hours and maintain proactive communication across a 1015 hour time zone gap.
Key Responsibilities
People & Team Leadership
Lead mentor and grow a team of 1015 engineers across Java and stacks operating through 23 tech leads
Conduct regular 1:1s performance reviews and career development conversations
Drive hiring own technical interviews and build a high-quality engineering pipeline
Foster a culture of ownership continuous learning engineering pride and AI-augmented productivity
Manage and coordinate with QA team and external contractors
Technical Leadership
Actively participate in architecture design and code reviews across the stack
Make or guide key technical decisions on microservices design API contracts data modeling and integration patterns
Ensure adherence to engineering best practices: code quality security-by-design observability and documentation
Own technical quality gates for multi-tenant SaaS releases
AI-SDLC Leadership
AI-Assisted Development - Drive adoption of AI coding tools (GitHub Copilot Claude Code Cursor or equivalents) across the team; establish usage guidelines measure productivity impact and share best practices
AI Across the SDLC - Integrate AI into the full development lifecycle: AI-driven test case generation automated code review augmentation design document drafting incident root-cause analysis and documentation generation
Measurement & Governance - Define and track AI productivity metrics (AI-assisted code coverage review cycle time reduction defect escape rates); ensure AI tooling usage complies with PCI-DSS SOC 2 and data residency requirements; establish prompt engineering standards and reusable context libraries for the team
Delivery & Execution
Own the end-to-end delivery lifecycle for your teams domain - from planning and sprint execution to production deployment and post-go-live support
Collaborate with Product Managers to refine requirements estimate effort and translate roadmap into executable plans
Drive risk identification and mitigation - proactively surface blockers and manage dependencies across teams
Support multi-tenant SaaS releases including customer onboarding integration certification and go-live events
Own deployment frequency lead time and change failure rate improvements for your teams domain
Security & Compliance
Participate in threat modeling and secure SDLC practices for payment processing workflows
Ensure team adherence to PCI-DSS SOC 2 compliance requirements as operational realities not checkboxes
Support security incident response - coordinate remediation produce root-cause analyses and drive hardening initiatives
Maintain audit-ready engineering practices: code review documentation change management records access control hygiene
Stakeholder & Client Engagement
Represent engineering in scoping discovery and integration discussions with US-based financial institution partners and third-party vendors (expect periodic evening IST calls)
Maintain clear proactive communication with internal and external stakeholders across time zones default to over-communication given the distributed model
Provide regular engineering status risk and delivery updates to US-based leadership without requiring prompting
Required Qualifications
Experience
12 years of total software engineering experience with at least 12 years in an Engineering Manager or Tech Lead Manager role
Proven experience leading multi-disciplinary engineering teams (10) in a SaaS or product-based environment
Strong background in full-stack development hands-on expertise across at least two of: Java/Spring Boot
Experience managing distributed/remote teams across time zones including vendor and contractor coordination
Demonstrated experience adopting AI development tools and driving engineering productivity improvements
Technical Skills
REST API design async/event-driven patterns Express/Fastify NPM ecosystem
Component architecture state management (Redux/Zustand/Context) modern hooks performance optimization
Java / Spring Boot Microservices Spring MVC JPA/Hibernate Maven/Gradle multi-threading
Cloud & Infrastructure AWS (EKS RDS API Gateway Lambda SQS/SNS KMS or equivalents) Docker Kubernetes
Databases PostgreSQL/MySQL (relational modeling query optimization) Redis (caching pub/sub)
API Security OAuth 2.0 JWT mTLS API Gateway patterns WAF concepts
CI/CD & DevOps GitHub Actions Jenkins or similar pipelines; familiarity with GitOps principles
AI Development Tools Working proficiency with at least one AI coding assistant (Copilot Claude Code Cursor); understanding of LLM capabilities and limitations in software engineering workflows
Domain Knowledge (Strongly Preferred)
Experience in fintech banking or payment systems understanding of payment rails (ACH FedNow RTP Wire) and payment message lifecycles
Familiarity with PCI-DSS SOC 2 or other financial compliance/security frameworks
Exposure to IBM MQ Salesforce core banking systems (Symitar Corelation DNA XP2) or multi-tenant FI onboarding patterns
Soft Skills
Strong communication skills able to translate complex technical topics for non-technical stakeholders and communicate clearly in writing.
High ownership mindset with a bias for action and autonomous decision-making
Comfortable operating in ambiguity and driving clarity in a fast-paced distributed environment
Collaborative leader who can balance empathy with accountability
Proactive communicator who defaults to transparency doesnt wait to be asked for updates
About PayfiniaPayfinia is a SaaS payment hub powering community banks and credit unions across the United States. Our flagship product IPX (Instant Payment Exchange) enables real-time payment processing across major payment rails including FedNow and RTP. We build secure scalable cloud-native financ...
About Payfinia
Payfinia is a SaaS payment hub powering community banks and credit unions across the United States. Our flagship product IPX (Instant Payment Exchange) enables real-time payment processing across major payment rails including FedNow and RTP. We build secure scalable cloud-native financial infrastructure that empowers smaller financial institutions to compete at the highest level.
We are a fast-growing engineering organization with deep roots in AWS microservices and payment compliance. We are looking for a seasoned Engineering Manager to join our leadership team at our India development center.
Role Overview
We are looking for an Engineering Manager based in India who is as comfortable reviewing a system design as they are running a sprint planning session. You will lead one of our core engineering teams take full ownership of feature delivery and work closely with Product QA and DevOps as well as our US-based leadership client teams and financial institution partners.
This is a hands-on leadership role. You will operate through 23 tech leads and senior engineers while personally engaging in architecture reviews critical-path technical decisions and AI-SDLC adoption not just managing timelines. You will be expected to drive autonomous decision-making during India business hours and maintain proactive communication across a 1015 hour time zone gap.
Key Responsibilities
People & Team Leadership
Lead mentor and grow a team of 1015 engineers across Java and stacks operating through 23 tech leads
Conduct regular 1:1s performance reviews and career development conversations
Drive hiring own technical interviews and build a high-quality engineering pipeline
Foster a culture of ownership continuous learning engineering pride and AI-augmented productivity
Manage and coordinate with QA team and external contractors
Technical Leadership
Actively participate in architecture design and code reviews across the stack
Make or guide key technical decisions on microservices design API contracts data modeling and integration patterns
Ensure adherence to engineering best practices: code quality security-by-design observability and documentation
Own technical quality gates for multi-tenant SaaS releases
AI-SDLC Leadership
AI-Assisted Development - Drive adoption of AI coding tools (GitHub Copilot Claude Code Cursor or equivalents) across the team; establish usage guidelines measure productivity impact and share best practices
AI Across the SDLC - Integrate AI into the full development lifecycle: AI-driven test case generation automated code review augmentation design document drafting incident root-cause analysis and documentation generation
Measurement & Governance - Define and track AI productivity metrics (AI-assisted code coverage review cycle time reduction defect escape rates); ensure AI tooling usage complies with PCI-DSS SOC 2 and data residency requirements; establish prompt engineering standards and reusable context libraries for the team
Delivery & Execution
Own the end-to-end delivery lifecycle for your teams domain - from planning and sprint execution to production deployment and post-go-live support
Collaborate with Product Managers to refine requirements estimate effort and translate roadmap into executable plans
Drive risk identification and mitigation - proactively surface blockers and manage dependencies across teams
Support multi-tenant SaaS releases including customer onboarding integration certification and go-live events
Own deployment frequency lead time and change failure rate improvements for your teams domain
Security & Compliance
Participate in threat modeling and secure SDLC practices for payment processing workflows
Ensure team adherence to PCI-DSS SOC 2 compliance requirements as operational realities not checkboxes
Support security incident response - coordinate remediation produce root-cause analyses and drive hardening initiatives
Maintain audit-ready engineering practices: code review documentation change management records access control hygiene
Stakeholder & Client Engagement
Represent engineering in scoping discovery and integration discussions with US-based financial institution partners and third-party vendors (expect periodic evening IST calls)
Maintain clear proactive communication with internal and external stakeholders across time zones default to over-communication given the distributed model
Provide regular engineering status risk and delivery updates to US-based leadership without requiring prompting
Required Qualifications
Experience
12 years of total software engineering experience with at least 12 years in an Engineering Manager or Tech Lead Manager role
Proven experience leading multi-disciplinary engineering teams (10) in a SaaS or product-based environment
Strong background in full-stack development hands-on expertise across at least two of: Java/Spring Boot
Experience managing distributed/remote teams across time zones including vendor and contractor coordination
Demonstrated experience adopting AI development tools and driving engineering productivity improvements
Technical Skills
REST API design async/event-driven patterns Express/Fastify NPM ecosystem
Component architecture state management (Redux/Zustand/Context) modern hooks performance optimization
Java / Spring Boot Microservices Spring MVC JPA/Hibernate Maven/Gradle multi-threading
Cloud & Infrastructure AWS (EKS RDS API Gateway Lambda SQS/SNS KMS or equivalents) Docker Kubernetes
Databases PostgreSQL/MySQL (relational modeling query optimization) Redis (caching pub/sub)
API Security OAuth 2.0 JWT mTLS API Gateway patterns WAF concepts
CI/CD & DevOps GitHub Actions Jenkins or similar pipelines; familiarity with GitOps principles
AI Development Tools Working proficiency with at least one AI coding assistant (Copilot Claude Code Cursor); understanding of LLM capabilities and limitations in software engineering workflows
Domain Knowledge (Strongly Preferred)
Experience in fintech banking or payment systems understanding of payment rails (ACH FedNow RTP Wire) and payment message lifecycles
Familiarity with PCI-DSS SOC 2 or other financial compliance/security frameworks
Exposure to IBM MQ Salesforce core banking systems (Symitar Corelation DNA XP2) or multi-tenant FI onboarding patterns
Soft Skills
Strong communication skills able to translate complex technical topics for non-technical stakeholders and communicate clearly in writing.
High ownership mindset with a bias for action and autonomous decision-making
Comfortable operating in ambiguity and driving clarity in a fast-paced distributed environment
Collaborative leader who can balance empathy with accountability
Proactive communicator who defaults to transparency doesnt wait to be asked for updates
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