Engineering Head

Intellectual Capital HR Consulting Pvt. Ltd.

Hyderabad

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. is seeking a hands-on Head of Engineering to own and drive our real-time systems in a stock broking/trading context. This leader will build scalable, low-latency architectures, mentor multiple teams, and enforce security-first design across domains.

The candidate will oversee end-to-end delivery, crisis management, and modern DevOps practices while pushing AI-enabled engineering productivity across the organization. Mumbai-based role with global reach.

Qualifications

8+ years of software engineering and leadership experience.
Experience leading backend and frontend teams for high-scale real-time platforms.
Trading/fintech or stock broking domain background preferred.

Responsibilities

Own end-to-end engineering delivery across backend and frontend systems.
Mentor, scale, and manage multiple engineering teams.
Enforce security-first design and coding practices.
Drive architecture decisions, system design, and governance.
Lead DevOps, reliability, and incident response efforts.
Foster AI-enabled productivity and tooling adoption.

Skills

Core Java

Spring Boot

Microservices

Distributed Systems

Real-time Systems

Kafka

Docker

Kubernetes

Security-first

AI tooling

Tools

Prometheus

Grafana

ELK

PostgreSQL

MySQL

OAuth2

JWT

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.

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