Senior Product Engineer — Platform, AI & Cloud

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.

Love solving complex real-world business problems.

Recognize that cross-functional collaboration is a core component of success for the team.

Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.

Have become a stronger engineer by making mistakes and learning from them.

Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.

Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.

Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.

Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.

Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.

Consider our people to be our greatest asset—we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

Description The Senior Software Engineer will design, build, and operate modern applications that support investment, portfolio management, and risk workflows, with a focus on buyside/private markets use cases. The role sits at the intersection of application development, AI/ML tooling, and secure cloud-native infrastructure.

You will own end-to-end product development: partnering with investment and product stakeholders, leveraging cutting-edge AI tools (GenAI, copilots, agents, MLOps), and taking responsibility for core applications from architecture and implementation through Dev Ops and Dev Sec Ops .The ideal candidate combines strong hands-on software engineering skills with a product mindset, investment management domain familiarity, strong communication, and the ability to independently drive strategic initiatives in a complex, regulated environment.

Responsibilities Collaborate with security and infrastructure teams to address vulnerabilities, harden services, and maintain a strong security posture for sensitive financial and client data.

Product Management & Stakeholder Engagement Partner closely with investment professionals (e.g., portfolio managers, private markets deal teams), operations, risk, and technology stakeholders to understand workflows, pain points, and opportunities.

Translate ambiguous business and investment requirements into clear technical roadmaps, user stories, and iterative deliverables with measurable outcomes.

Prioritize and manage a backlog of application features and technical enhancements, balancing short-term value with long-term architectural health.

Communicate trade-offs, timelines, and architecture decisions clearly to both technical and non-technical stakeholders.

Leadership & Mentorship Serve as a technical lead on key initiatives, setting engineering standards and reviewing designs and code for quality, performance, security, and operational readiness.

Mentor engineers across the team in best practices for software design, Dev Ops, Dev Sec Ops , and cloud-native development.

Drive continuous improvement in development workflows, testing strategies, release management, and incident management processes.

Required Qualifications 5+ years of professional software engineering experience, with significant time spent building and operating production applications and services.

Strong proficiency in Python and at least one additional language commonly…