Chief Technology Officer/Engineering Head - Trading & Real-Time System
Break into bfsi · Mumbai · onsite · Posted 84d ago
About a minute. You'll make an account on the way through.
About this role
Description:
Chief Technology Officer (CTO) / Head of Engineering - Trading & Real-Time Systems
Role Overview
We are looking for a hands-on, high-impact Engineering Leader to own and drive the entire engineering function. This role demands a rare combination of deep technical expertise, architectural vision, and execution excellence.
The candidate will be responsible for building secure, scalable, low-latency, real-time systems in a stock broking / trading environment, while leading teams and solving mission-critical production challenges.
This is not a purely managerial role the ideal candidate should be a builder, debugger, and decision-maker.
Key Responsibilities
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 and real-time capable
- Extensible and future-ready
- Standardize architecture across legacy and modern systems
- Drive organization-wide architectural decisions
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:
- 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
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
- Strong knowledge of:
- JWT
- OAuth2
- API security
- Encryption practices
- Experience building secure systems at scale
DevOps
- Hands-on experience with:
- Docker
- CI/CD pipelines
- Monitoring tools such as Prometheus, Grafana, and ELK
AI Enablement
- Practical experience with:
- AI coding tools (e.g., ChatGPT, Copilot)
- Proven ability to drive AI adoption within engineering teams
Leadership Expectations
- Extreme ownership mindset
- Security-first thinking in every decision
- AI-first approach to productivity
- Strong decision-making under pressure
- Hands-on leadership style with deep code reviews and technical involvement
- 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
- Experience leading backend and frontend teams for:
- High-scale systems
- Real-time / low-latency platforms
- Background in:
- Trading / fintech / brokerage systems preferred
- Proven track record of:
- Managing production-critical environments
- Handling outages and system failures effectively
- Ability to balance:
- Speed
- Stability
- Security
- Strong cross-functional leadership across diverse tech stacks
Success Metrics
- System uptime & reliability
- Incident response & RCA efficiency
- Scalability and architecture quality
- Engineering productivity & code quality
- AI adoption across teams
- Reduction in production issues
Preferred / Bonus Qualifications
- Experience with Kubernetes
- Exposure to distributed tracing systems
- Background in low-latency trading platforms
- Knowledge of High-Frequency Trading (HFT) systems
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