Engineering Manager

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 fintech platforms. While your primary responsibility will be engineering leadership, you are expected to remain technically engaged through architecture and design reviews, code reviews, mentoring, debugging complex issues, and contributing production-quality code when required. You will also help shape engineering culture, improve developer productivity, drive AI adoption, and ensure predictable, high-quality software delivery.

The candidate will have responsibilities across the following functions:

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 and career development.
• Hire exceptional engineering talent and build a strong succession pipeline.
• Create an environment where engineers take end-to-end ownership of customer outcomes.

Drive Technical Excellence:

• Review architecture, solution designs, and critical engineering decisions.
• Establish strong engineering standards through design and code reviews.
• Contribute production-quality code and prototypes when required.
• Lead investigation and resolution of complex production issues.
• Drive simplicity, maintainability, scalability, performance, and reliability.
• Continuously reduce technical debt and improve overall platform health.

Own Engineering Delivery:

• Own engineering delivery for product initiatives, customer implementations, and platform modernisation.
• 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 releases meet quality, security, and operational-readiness standards.

Build Engineering Excellence:

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

Drive AI-Enabled Engineering:

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

Partner Across the Business:

• Communicate engineering progress, risks, trade-offs, and delivery status clearly.
• 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.

Requirements:

• 10+ years of software engineering experience, with at least 2+ years in an Engineering Manager or Technical Leadership role.
• Strong software engineering background before moving into engineering management.
• Experience building enterprise SaaS, fintech, banking, or large-scale B2B platforms.
• Proven experience leading cross-functional engineering teams across Backend, Frontend, QA, and DevOps.
• Strong experience delivering cloud-native, API-first, microservices-based applications.
• Experience working with regulated enterprise customers such as banks, NBFCs, insurance companies, or financial institutions.
• Strong understanding of Agile delivery, release management, DevSecOps, engineering governance, and production operations.
• Experience with Lending Origination Systems, Digital Lending, Supply Chain Finance, or Financial Services platforms is highly desirable.

Technical Skills:

• Backend and Architecture, Java 17/21 Spring Boot / Spring Cloud, REST APIs, Microservices, Event-Driven Architecture, Distributed Systems, SQL and NoSQL Databases, API-first architecture, OpenAPI / Specification-driven development, Contract-first API design, API governance, Design Patterns, System Design.
• Frontend: Angular, TypeScript, Modern JavaScript frameworks, Responsive web application development
• Cloud and DevOps: AWS, Docker, Kubernetes, NGINX, Git, GitHub, GitHub Actions / Jenkins, CI/CD pipelines, Infrastructure automation
• Engineering Practices: Secure Coding and DevSecOps, Automated Testing - Unit, Integration, API and UI, Performance and Scalability Engineering, Reliability Engineering, Architecture and Technical Design Reviews, Code Reviews and Engineering Standards, Production Debugging and RCA, Observability, Logging, Monitoring and Distributed Tracing, SAST, DAST and Software Composition Analysis, SonarQube, Shift-Left Quality Engineering.

Technology Environment:

• Backend: Java 21 Spring Boot, Spring Cloud
• Frontend: Angular, TypeScript
• Databases: Oracle, PostgreSQL, Redis
• Cloud and Infrastructure: AWS, Docker, Kubernetes, NGINX
• Source Control and CI/CD: GitHub, GitHub Actions, Jenkins
• Security and Quality: SonarQube, SAST, DAST, Software Composition Analysis
• Engineering: Microservices, API-first development, OpenAPI, Contract-first design, DevSecOps, AI-assisted development, automated testing, observability

What Success Looks Like:

Within your first 12 months, you will:

• Build a high-performing engineering team with a strong ownership culture.
• Improve sprint predictability and release quality.
• Increase engineering productivity through AI-assisted development.
• Improve engineering metrics such as deployment frequency, lead time, defect leakage, and production stability.
• Reduce recurring production incidents through stronger engineering practices.
• Strengthen engineering standards, automated testing, and platform reliability.
• Mentor engineers and develop future technical leaders.
• Deliver secure, scalable, enterprise-grade fintech platforms trusted by leading financial institutions.

Leadership Qualities:

We are looking for leaders who:

• Lead by example.
• Stay technically curious and hands-on.
• Demonstrate strong ownership and accountability.
• Make data-driven decisions.
• Coach and grow engineering talent.
• Communicate clearly and transparently.
• Thrive in fast-paced product organisations.
• Balance speed with quality and long-term maintainability.