Engineering Head

Intellectual Capital HR Consulting Pvt. Ltd.

Coimbatore District

On-site

INR 4,000,000 - 7,000,000

Full time

3 days ago
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Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in Mumbai seeks a hands-on Head of Engineering for Real-Time Trading & Systems. You will own end-to-end engineering, shape architecture, and drive secure, low-latency platforms.

You will lead multiple teams, enforce security-first design, and embed AI-first productivity. This is a builder role with emphasis on architecture, incident response, and scalable systems.

Qualifications

  • 8+ years of experience in software engineering and technology leadership.
  • Experience leading backend and frontend teams for high-scale, real-time, low-latency platforms.
  • Background in trading, stock broking, or fintech ecosystems is highly preferred.
  • Proven track record of managing production-critical environments and handling outages effectively.

Responsibilities

  • Own end-to-end engineering delivery across backend and frontend systems.
  • Lead, mentor, and scale multiple engineering teams.
  • Establish strong engineering culture, processes, and accountability.
  • Drive architectural decisions across the organization.
  • Enforce secure-by-design principles and implement authentication & authorization frameworks.
  • Oversee CI/CD pipelines, Docker, observability, and reliability practices.

Skills

Core Java
Spring Boot
Microservices
Distributed Systems
Performance Optimization
Solution Architecture
PostgreSQL
MySQL
MongoDB
NoSQL
Kafka
Event-Driven
JWT
OAuth2
API Security
Docker
CI/CD
Prometheus
Grafana
ELK
Kubernetes
AI Copilots

Tools

Kubernetes

Job description

Head of Engineering Trading & Real-Time Systems
Role Overview

We are looking for a hands-on, high-impact Engineering Leader to own and drive our entire engineering function. This role demands a rare combination of deep technical expertise, architectural vision, and execution excellence.

You will be responsible for building secure, scalable, low-latency, real-time systems in a stock broking / trading domain, while leading teams and solving mission-critical production challenges.

This is not a managerial role—we need a builder, debugger, and decision-maker.

What You Will Do
1. Engineering Leadership & Ownership
  • Own end-to-end engineering delivery across backend and frontend systems.
  • Lead, mentor, and scale multiple engineering teams.
  • Establish strong engineering culture, processes, and accountability.
  • Drive high standards in:
  • Code quality
  • System design
  • Architecture governance
2. Architecture & System Design
  • Design highly scalable, fault-tolerant microservices architectures.
  • Ensure systems are:
  • Highly available
  • Low latency (real-time capable)
  • Extensible and future-ready
  • Standardize architecture across legacy and modern systems.
  • Drive architectural decisions across the organization.
3. Security-First Engineering
  • Enforce secure-by-design principles.
  • Implement:
  • Authentication & authorization frameworks
  • Data protection & encryption strategies
  • Ensure compliance with:
  • OWASP standards
  • API security best practices
4. Crisis Management & RCA
  • Take ownership during production outages and incidents.
  • Perform fast and accurate Root Cause Analysis (RCA).
  • Drive:
  • Immediate resolution
  • Long-term architectural fixes
  • Build resilient systems to minimize downtime impact.
5. AI-First Engineering Culture
  • Drive adoption of AI across engineering workflows:
  • Faster development
  • Intelligent debugging
  • Automation
  • Enable teams to leverage tools like:
  • AI copilots
  • Code assistants
  • Improve productivity and engineering velocity.
6. Distributed & Event-Driven Systems
  • Architect systems using:
  • Kafka / Event Streaming
  • Asynchronous communication patterns
  • Ensure:
  • Data consistency
  • Fault tolerance
  • Real-time processing reliability
7. DevOps & Reliability
  • Oversee:
  • CI/CD pipelines
  • Containerization (Docker)
  • Observability (logs, metrics, tracing)
  • Ensure:
  • High uptime
  • System resilience
  • Performance optimization
Core Technical Expertise
Backend & Architecture
  • Strong hands-on expertise in Core Java + Spring Boot (preferred) or equivalent.
  • Deep expertise in:
  • Microservices Architecture
  • Distributed Systems Design
  • Performance Optimization
  • Solution Architecture
Databases
  • Strong experience with:
  • PostgreSQL / MySQL
  • MongoDB / NoSQL
  • Expertise in:
  • Data Modeling
  • Query Optimization
  • High-volume Data Handling
Messaging & Streaming
Must-Have
  • Kafka
Strong Understanding Of
  • Event-Driven Architecture
  • Real-Time Data Pipelines
Security
  • JWT, OAuth2
  • API Security
  • Encryption Practices

Experience building secure systems at scale.

DevOps
Hands-on with:
  • Docker
  • CI/CD Pipelines
  • Monitoring Tools (Prometheus, Grafana, ELK)
AI Enablement

Practical experience with AI coding tools (e.g., ChatGPT, Copilot) and proven ability to drive AI adoption across engineering teams.

Leadership Expectations (Critical)
  • Extreme ownership mindset
  • Security-first thinking in every decision
  • AI-first approach to productivity
  • Strong decision-making under pressure
  • Hands-on leader who writes code and performs deep reviews
  • Fast problem solver and crisis handler
  • High discipline, punctuality, and accountability
  • Strong product and business understanding
  • Proven ability to mentor and grow engineering teams
Ideal Candidate Profile
  • 8+ years of experience in software engineering and technology leadership.
  • Experience leading backend and frontend teams for high-scale, real-time, low-latency platforms.
  • Background in trading, stock broking, or fintech ecosystems is highly preferred.
  • Proven track record of managing production-critical environments and handling outages effectively.
  • Ability to balance Speed, Stability, and Security.
  • Strong cross-functional leadership across diverse technology stacks.
Success Metrics
  • System uptime and reliability
  • Incident response and RCA efficiency
  • Scalability and architecture quality
  • Engineering productivity and code quality
  • AI adoption across teams
  • Reduction in production issues
Bonus Qualifications
  • Experience with Kubernetes
  • Exposure to distributed tracing systems
  • Background in low-latency trading platforms
  • Knowledge of building High-Frequency Trading (HFT) systems
Experience

8+ Years

Location

Mumbai

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