Lead Software Engineer - Java, SpringBoot, AWS

Next Frontier Capital

Mumbai

On-site

INR 1,500,000 - 2,600,000

Full time

8 days ago
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Job summary

Next Frontier Capital in Mumbai seeks an experienced software engineer to design and develop trading tools across pre-trade, trade capture and pricing domains. You will analyze legacy systems, drive AI-assisted engineering practices, and collaborate with SPG Trading, Risk and P&L teams to build scalable solutions.

You will lead pilot projects, develop KPIs, and communicate progress to senior leadership while ensuring secure, validated delivery in a fast-paced banking environment.

Qualifications

  • 5+ years of applied software engineering experience.
  • Experience in Java or Python, Spring Boot, and messaging systems.
  • Excellent programming and problem-solving skills with hands-on development.
  • Strong knowledge of SQL and stored procedures.
  • Experience with AI-assisted development tools and secure coding practices.

Responsibilities

  • Design and develop trading tools across pre-trade, trade capture and pricing.
  • Analyze legacy systems and identify areas for improvement and innovation.
  • Promote AI-assisted engineering practices for code quality and delivery speed.
  • Develop metrics and KPIs to measure transformation success.
  • Lead pilot projects and communicate progress to stakeholders.
  • Collaborate with SPG Trading, Risk and P&L teams to build scalable solutions.
  • Develop proof-of-concept solutions to test feasibility.
  • Ensure secure, validated delivery and promote best practices.

Tools

Kafka
IBM MQ
Tibco
AMPS

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities
  • Design and develop trading tools, technical solutions and streamline technological stack across pre-trade, trade capture and pricing domain.
  • Conduct thorough analysis of legacy systems and processes; identify areas for improvement and innovation
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership
  • Drive the design and development of the new system, deep dive in-to existing system and processes to propose solutions
  • Collaborate with wider SPG Trading, Risk and P&L teams to build scalable and robust solutions that support business needs
  • Quickly develop proof-of-concept solution to prove feasibility of technological solutions
  • Proactively communicate to management and business stake holders
  • Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm
Required qualifications, capabilities, and skills
  • Formal training or certification on Software Engineering concepts and 5+ years applied experience
  • Experience using Java or Python, Spring Boot and messaging system.
  • Excellent programming and problem-solving skills with 100% hands-on development, support, and bug fixes for real-time trading system
  • Good working knowledge SQL/Stored Procedure
  • Experience in developing software using Kafka, IBM MQ, Tibco and AMPS as messaging hubs
  • Exposure to AWS technology is must.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Experience in developing transformation projects with latest technological skills in Fixed Income trading system domain
  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
  • Experience in working on complex projects supporting system design, testing, and operational stability
Preferred qualifications, capabilities, and skills
  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to drive broader impact by sharing and contributing best practices
  • Experience in the banking domain.
  • AWS certification.

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team.

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