We are a leading technology company building enterprise-grade platforms for Lending Origination Systems (LOS), Digital Lending, Supply Chain Finance (SCF), Embedded Finance , and financial institution-led lending transformation.

Our platforms power top-tier banks, NBFCs, and financial institutions where security, scalability, resilience, regulatory compliance, and delivery predictability are critical. As we continue to expand our engineering organization, we are looking for a hands-on Engineering Manager who combines solid technical depth with exceptional execution and people leadership.

The Role

This is not a traditional people-management role. We are looking for an engineering leader who enjoys solving complex technical problems, building high-performing teams, and delivering enterprise software at scale.

As an Engineering Manager, you will lead one or more product engineering squads responsible for designing, building, deploying, and operating mission-critical platforms. While your primary responsibility is engineering leadership, you are expected to remain technically engaged—reviewing designs, mentoring engineers, debugging complex problems, reviewing code, and contributing production code whenever required.

You will help shape engineering culture, improve developer productivity, drive AI adoption, and ensure predictable, high-quality software delivery.

Key Responsibilities

1. Lead High-Performing Engineering Teams

- Build, mentor, and grow high-performing engineering squads.
- Foster a culture of ownership, accountability, collaboration, and continuous learning.
- Coach engineers and technical leads through regular feedback, performance reviews, and career development.
- Hire exceptional engineering talent and build strong succession planning within the team.
- Create an environment where engineers take end-to-end ownership of customer outcomes.

2. Drive Technical Excellence

- Review architecture, solution designs, and critical engineering decisions.
- Establish high engineering standards through rigorous design and code reviews.
- Contribute production-quality code or prototypes when required.
- Lead investigation and resolution of complex production issues.
- Drive engineering simplicity, maintainability,



scalability, and performance.
- Continuously reduce technical debt and improve overall platform health.

3. Deliver Predictably

- Own engineering delivery for product initiatives, customer implementations, and platform modernization.
- Drive sprint planning, estimation, release planning, and execution discipline.
- Remove delivery bottlenecks and proactively manage risks and dependencies.
- Partner closely with Product, Architecture, QA, DevOps, Security, Customer Success, and Support teams.
- Ensure every release meets quality, security, and operational readiness expectations.

4. Build Engineering Excellence

- Improve code quality through peer reviews, coding standards, and test automation.
- Champion automated testing, CI/CD, observability, and DevSecOps practices.
- Use engineering metrics (DORA metrics, defect leakage, etc.) to continuously improve productivity, quality, and delivery predictability.
- Lead Root Cause Analysis (RCA) for production incidents and ensure permanent corrective actions.
- Build systems that are secure, resilient, observable, and easy to operate.

5. Lead AI-Enabled Engineering

- Drive adoption of AI-assisted software development across the engineering organization.
- Encourage responsible use of AI for coding, testing, documentation, debugging, and code reviews.
- Establish engineering guardrails and security standards for AI-generated code.
- Continuously evaluate emerging AI tools that improve engineering productivity while maintaining quality and security.

6. Partner Across the Business

- Communicate engineering progress, risks, trade-offs, and delivery status clearly to leadership.
- Build trusted relationships with Product, Delivery, Business, Architecture, Security, and Executive Leadership.
- Represent Engineering during customer discussions, executive reviews, and technical escalations.




- Translate complex technical decisions into clear business outcomes.

What We’re Looking For Experience & Background

- 10+ years of total software engineering experience, with at least 2 years in an Engineering Manager or Technical Leadership role.
- Strong software engineering background prior to moving into engineering management.
- Proven experience building enterprise SaaS, fintech, banking, or large-scale B2B platforms.
- Experience leading cross-functional engineering teams across backend, frontend, QA, and DevOps.
- Demonstrated track record delivering cloud-native, API-first, microservices-based applications.
- Experience working with regulated enterprise customers such as banks, financial institutions, NBFCs, or insurance companies.
- Strong understanding of Agile delivery, release management, DevSecOps, engineering governance, and production operations.
- Desirable: Prior domain experience with Lending Origination Systems (LOS), Digital Lending, Supply Chain Finance (SCF), or Financial Services platforms.

Technical Competencies

Core Stack

- Backend: Java (Java 17/21 preferred), Spring Boot, Spring Cloud, REST APIs, Microservices, Event-Driven Architecture, Distributed Systems, SQL (Oracle, PostgreSQL) & NoSQL/Caching (Redis) Databases.
- Frontend: Angular (preferred), TypeScript, Modern JavaScript Frameworks, Responsive Web Applications.
- Cloud & DevOps: AWS (preferred), Docker, Kubernetes, NGINX, Git, GitHub, GitHub Actions / Jenkins, CI/CD Pipelines, Infrastructure Automation.

Engineering Practices

- API-First Architecture and Specification-Driven Development (OpenAPI).
- Contract-First API Design and API Governance.
- Design Patterns, System Design, and Microservices Architecture.
- Secure Coding, SAST/DAST, Software Composition Analysis (SCA), and DevSecOps.
- Performance, Scalability, and Reliability Engineering.
- Production Debugging, Root Cause Analysis (RCA), and Incident Management.
- Automated Testing (Unit, Integration, API, UI) & Shift-Left Quality Engineering.
- Observability, Logging, Monitoring, and Distributed Tracing.
- AI-Assisted Software Development and Productivity Engineering.

📌 Engineering Manager (Noida)
🏢 Recro
📍 Noida