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Engineering Manager

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Tyfone

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Location:
India

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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

Additional Information:

Job Posted:
April 11, 2026

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