Software Engineer - Core Java and Equities Tech - Vice President
Citi (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 40–70 LPA
Posted 0m ago
Reach people at Citi
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Citi you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery and modernization of the One Touch Equities Order Management platform including microservices development and legacy system replacement.
- Manage multi-year technology roadmap with focus on cost-effective, scalable OMS supporting business growth.
- Collaborate across global technology teams, production support, regulatory, and compliance to ensure robust system architecture, automation, security, and operational excellence.
Minimum Requirements
- 10+ years work experience with strong program skills in Core Java, multi-threading, concurrency, and low latency architecture.
- Strong engineering background with expertise in modern architectures including middleware, server, document & relational databases.
- Experience with Unix and Oracle systems; command of latest AI productivity tools is mandatory.
- Work Experience Required: 10+ years; Location: Pune; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced senior technologist comfortable managing large-scale multi-year platform delivery in financial equities domain.
- Strong in software architecture, SDLC best practices, and cross-team collaboration within global matrixed technology environments.
- Demonstrates a pragmatic engineering approach balancing innovation (AI tool adoption) with operational rigor (automation, security, compliance).