Senior Technology SME

Capgemini; New York (NY); On-site; USD 60,000 - 93,000; Full time

Job summary

Capgemini in New York seeks a Senior Technology SME to lead cross-functional programs across Advisory, Sales & Distribution and Global Capital Markets. You will provide architectural guidance, solution design, and delivery oversight for front-office platforms built with Java and Angular.

You will partner with business and technology stakeholders, drive modernization, and explore GenAI and cloud-native patterns to reduce technical debt while improving scalability and performance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8 to 10 years of software engineering experience within banking, capital markets, or financial services.
• Proficient in Spring Boot, REST APIs, Angular, and SQL/Data Modeling.
• Experience presenting technical solutions to senior business and technology stakeholders.
• Strong SDLC, DevOps, CI/CD, automated testing, and production support.

Responsibilities

• Provide technology leadership across investment banking, capital markets, sales, trading, and client distribution.
• Design and review enterprise-scale applications built with Java and Angular technologies.
• Drive best practices around API design, microservices, event-driven systems, and cloud-native development.
• Mentor technical leads and engineers across distributed global teams.
• Support delivery teams in resolving complex technical challenges and production issues.

Skills

Spring Boot

REST APIs

Angular

SQL / Data Modeling

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Job description

We are seeking a highly experienced and hands-on Senior Technology SME to support strategic initiatives across the Advisory, Sales & Distribution and Global Capital Markets technology organizations. This individual will serve as a cross-functional technical leader, providing deep technical expertise, architecture guidance, solution consulting, and delivery oversight across multiple front-office technology platforms.

The ideal candidate combines strong engineering capabilities with an understanding of investment banking and capital markets workflows. They will act as a trusted advisor to technology and business stakeholders while remaining actively involved in solution design, technical assessment, modernization initiatives, and AI adoption opportunities.

Key Responsibilities:

Technology Leadership & Advisory:

Provide technology leadership across multiple strategic programs supporting investment banking, capital markets, sales, trading, and client distribution functions.

Serve as a technical consultant for architecture reviews, modernization initiatives, and platform transformation efforts.

Identify opportunities to simplify architecture, improve scalability, and reduce technical debt.

Partner with product owners, business stakeholders, architects, and engineering leaders to define technology roadmaps.

Design and review enterprise-scale applications built predominantly on Java and Angular technologies.

Drive best practices around application architecture, API design, microservices, event-driven systems, and cloud-native development.

Perform deep technical reviews of critical applications and provide recommendations for optimization and modernization.

Support delivery teams in resolving complex technical challenges and production issues.

Capital Markets Domain Enablement:

Develop an understanding of investment banking, equity and debt capital markets, syndication, advisory, client onboarding, and sales/distribution processes.

Partner with business teams to translate complex business requirements into scalable technology solutions.

Support front-office platforms that facilitate deal lifecycle management, client coverage, product distribution, and analytics.

AI & Emerging Technology:

Identify use cases for GenAI, Agentic AI, co-pilots, and intelligent automation across the ASD and GCM technology landscape.

Drive adoption of AI-assisted development practices to improve engineering productivity.

Evaluate and recommend AI solutions for documentation, testing, code generation, workflow automation, and knowledge management.

Collaborate with enterprise AI teams to establish scalable and governed AI implementation patterns.

Delivery Support:

Act as a technical SME across multiple projects simultaneously.

Mentor technical leads and engineers across distributed global teams.

Support project estimation, solution planning, risk identification, and technical governance.

Provide executive-level technology recommendations and status updates.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

8 to 10 years of software engineering experience within banking, capital markets, or financial services.

Spring Boot

REST APIs

Angular

SQL / Data Modeling

Experience working across multiple enterprise applications and technology domains.

Strong understanding of SDLC, DevOps, CI/CD, automated testing, and production support.

Experience presenting technical solutions to senior business and technology stakeholders.

Preferred Qualifications:

Exposure to Investment Banking, Capital Markets, Sales & Trading, Research, or Wealth Management platforms.

Experience with public cloud technologies (AWS, Azure, GCP).

Knowledge of Data Platforms, Snowflake, Data Lakes, and Analytics ecosystems.

Experience leveraging AI/GenAI tools such as:

LangChain

MCP-based Agent Frameworks

Prior experience serving as an Architect, Lead Engineer, Technical SME, or Technology Consultant.

Executive communication and stakeholder management

Technical thought leadership

Problem solving and analytical thinking

Cross-functional collaboration

Technology strategy and modernization

Ideal Profile:

This role is best suited for a senior technologist who can operate as a "technology utility player" across Advisory, Sales & Distribution and Global Capital Markets. The individual should be equally comfortable discussing architecture with senior leadership, guiding engineering teams on implementation details, evaluating AI use cases, and stepping into critical delivery situations to accelerate outcomes.

The pay range that the employer in good faith reasonably expects to pay for this position is $43.34/hour - $67.72/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.