Engineering Manager

Job Title: Engineering Manager

Location: Hyderabad

Zaggle is a B2B2C SaaS FinTech company, digitizing spends to drive growth and unlock value through automated and innovative workflows. Zaggle is a market leader in the space of Spend Management and is one of the few profitable and listed (NSE: ZAGGLE) new age companies in India. We offer to corporates a unified software cum payments platform for the employee expense, benefits, rewards as well as their vendor payments and channel incentives. We are form-factor agnostic and offer a variety of payments instruments including corporate credit cards, purchase cards, virtual cards, Prepaid cards, wearables etc. issued in partnership with leading banks like Kotak Mahindra Bank, ICICI Bank, Yes Bank, SBI Cards, IndusInd Bank amongst others.

Our platform solutions are sector-agnostic, and our network of corporate customers covers the BFSI, Technology, Healthcare, Manufacturing, FMCG, Infrastructure and Automobile industries, among others. Some of our well-known customers include TATA Steel, Persistent Systems, Toshiba, Inox, Pitney Bowes, Wockhardt, PCBL (RP –Sanjiv Goenka Group) and Greenply Industries to name a few.

Visit us at www.zaggle.in to know more about us!

Role Overview :

We are looking for an experienced Engineering Manager to lead and develop high-performing engineering teams focused on delivering secure, scalable, and reliable SaaS solutions within the fintech industry. The role combines hands-on technical delivery along with technical leadership & people management to ensure successful product execution and continuous improvement.

This role requires a strong technical leader who can drive architecture, execution, and team development while delivering scalable and reliable systems used by enterprise customers.

Key Responsibilities:

• Own end-to-end delivery of engineering initiatives from architecture and design through production deployment.
• Translate product requirements into scalable technical solutions.
• Architect solutions for critical, complex and challenging problems by designing and developing highly scalable, available and reliable software solutions.
• Lead architecture discussions and guide teams in building microservices-based cloud-native systems.
• Partner with Product, Design, QA, DevOps, and other stakeholders to deliver business priorities.
• Develop roadmaps for system and product growth, ensure timely execution and quality delivery.
• Own sprint planning, execution, release management, and engineering delivery metrics.
• Foster a culture of ownership, collaboration, and engineering excellence by promoting engineering best practices, code quality, CI/CD, DevOps, and automation.
• Ensure platform reliability, performance, security, and compliance with applicable fintech standards.
• Drive continuous improvement through process optimization and technical innovation.

Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.
• 10+ years of hands-on software engineering experience, including 3+ years in an engineering leadership role.
• Experience building and scaling SaaS products, preferably in the fintech domain.
• Strong system design and architecture skills.
• Strong experience designing and building large-scale distributed systems
• Strong understanding of cloud platforms (AWS, Azure, or GCP), microservices, APIs, and modern software development practices.
• Programming languages and frameworks such as Java, Springboot.
• Experience with Agile methodologies, CI/CD pipelines, and DevOps practices.
• Excellent leadership, communication, stakeholder management, and problem-solving skills.

Must Have:

• Stakeholder management
• Deep understanding of Infra, Application Performance, deployment & Scaling
• Technical Hands-on expertise in coding
• Solid grasp of distributed systems and microservices architecture.
• Experience with sprint/agile delivery, release management, and technical debt governance.

Good to Have:

• Knowledge of current AI capabilities and tooling (LLMs, agentic systems) and their applicability to engineering workflows.
• Experience in fintech or other regulated/compliance-heavy domains (RBI, DPDP, PCI, GST).
• Hands-on experience evaluating or rolling out AI-assisted developer tooling (e.g., Copilot, Claude, Cursor) at team scale.

Success Measures:

• Strong fundamentals in data structures, algorithms, and complexity analysis.
• Timely delivery of high-quality software.
• Strong understanding of modern authentication protocols (OAuth 2.0, JWT, SSO).
• Working knowledge of AI/ML capabilities and tooling (LLMs, agentic workflows, AI-assisted development) to guide technical decisions and evaluate emerging solutions.
• High team engagement and engineering productivity.
• Strong platform reliability, security, and operational excellence.
• Continuous improvement in engineering processes and customer outcomes.