Engineering Manager Job at Tyfone

Job Description

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 2–3 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 10–15 hour time zone gap.

Job Responsibility

People & Team Leadership: Lead, mentor, and grow a team of 10–15 engineers across Java, Node.js, and React.js stacks, operating through 2–3 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 team’s 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 team’s 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

Requirements

12+ years software engineering
1-2 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: Node.js, React.js, 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: Node.js — REST API design, async/event-driven patterns, Express/Fastify, NPM ecosystem
React.js — 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
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 — doesn’t wait to be asked for updates

Nice to have

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

Tyfone - All Job Offers

Select Country

Engineering Manager

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?