Engineering Manager

Company: HyrEzy

Website: Visit Website

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Series A

Industry: Fintech

Salary Range: ₹ 30-35 Lacs PA

Job Description

This is a permanent role with Series A funded startup in Fintech domain - A Valued client of Hyrezy.

Role: Engineering Manager (SaaS / AI-FinTech)

Location: Remote / Hybrid (London / India Hubs)

Experience: 7+ Years (with 2+ years in Engineering Leadership)

Domain: Fintech, Spend Management, AI/ML Data Pipelines

• The Mission: Scaling Intelligence
  
  

As the Engineering Manager, you will lead a world-class team of engineers building an AI-first platform that transforms billions of rows of fragmented financial data into actionable enterprise intelligence. You will sit at the helm of technical delivery, responsible for the architecture, security, and scalability of a platform that serves Fortune 500 clients.

This is not a "maintenance" role; it is an execution and growth role. You will bridge the gap between complex AI roadmaps and high-performance software engineering.

• Strategic & Technical Leadership
• Architectural Stewardship: Lead the design and development of scalable, cloud-native microservices. You will ensure the platform can handle high-concurrency data ingestion and complex ML model deployments.
• Engineering Excellence: Drive a culture of "Extreme Ownership." Implement rigorous standards for code reviews, automated testing (CI/CD), and system reliability (SRE).
• AI/ML Integration: Work closely with Data Science teams to operationalize ML models (LLMs, Classification, and OCR) into production-grade features.
• Security & Compliance: Ensure the engineering team adheres to the highest data privacy standards (GDPR, SOC2), essential for handling sensitive enterprise spend data.
• People & Process Management
• Pod Leadership: Manage a cross-functional pod of 6–10 engineers (Backend, Frontend, and Data Engineers).
• Mentorship: Act as a force-multiplier. Conduct regular 1:1s, define career growth paths, and foster an environment of continuous learning.
• Agile Delivery: Own the sprint lifecycle. You will translate product requirements into technical specs, manage dependencies, and ensure on-time delivery without compromising on code quality.
• Talent Acquisition: Collaborate with the recruitment team to identify, interview, and onboard top-tier engineering talent to scale the team.
• Required Technical DNA
• Core Stack: Deep expertise in Python or Go (for backend), React/Next.js (for frontend), and cloud ecosystems (preferably AWS or Azure).
• Data Infrastructure: Strong understanding of SQL/NoSQL databases, Data Warehousing (Snowflake/BigQuery), and message brokers (Kafka/RabbitMQ).
• DevOps Maturity: Experience with Docker, Kubernetes, and modern Infrastructure-as-Code (Terraform).
• Leadership Track Record: Proven experience managing teams that have shipped successful SaaS products from 0 to 1 and 1 to 100.

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