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Job Description

About our client : Global Alternative Investment Management Firm.

The Role :

This isn't a maintenance role. It's a seat at the table where the money moves. You'll own the technology backbone behind a multi-billion-dollar private credit portfolio the platforms that connect every deal, every trade, every dollar of cash movement, and every regulatory report for a firm operating across global markets.

What You'll Own :

- End-to-end technology leadership for the firm's flagship investment platforms Deal CRM, Order Management, Fund Accounting, and Cash Management serving front-office, trading, and operations teams globally.

- Architecture and integration across a live, high-stakes ecosystem: deal/relationship CRM, OMS, fund accounting, treasury/cash management, security master, and regulatory reporting.

- Cloud & data modernization leading the migration from legacy, on-premise infrastructure to a modern cloud-native, API-first architecture.

- AI-forward engineering culture building AI-powered agents that automate code review, change management, and operational workflows.

- Team & talent leadership build, mentor, and scale a high-performing engineering organization; own hiring, succession planning, and a genuine talent-development culture.

- Direct stakeholder partnership with global business leaders, portfolio managers, and C-suite technology leadership.

What You Bring :

- 15- 21+ years in enterprise software engineering, with deep, hands-on architecture experience.

- Direct, verifiable experience with investment/credit technology platforms such as : DealCloud (Intapp), Allvue (Everest OMS), Geneva (Fund Accounting), HazelTree, IVP (Security Master), Bloomberg (FXGO), MarketAxess, SWIFT, LSEG / MiFID II reporting.

- Private Credit, Direct Lending, or Alternative Asset Management domain experience strongly preferred.

- Cloud & modern engineering stack : Azure or AWS, Databricks, API-first integration, DevSecOps, CI/CD, microservices, distributed systems.

- Applied AI/GenAI exposure : LLM-assisted engineering (GitHub Copilot, Claude Code, LangChain-class frameworks).

- Proven team-building track record: hired, mentored, and scaled engineering teams across geographies.

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

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