Vice President, Senior Software Engineer

Summary

We are looking for a Vice President to join our newly formed Product Engineering group. This is a senior individual contributor who will be instrumental in building the next-generation platform for Oaktree's credit business -- one of the firm's largest and most complex investment strategies.

A note on title: Vice President is an internal title common across the financial industry. In terms of scope and expectations, this role is most comparable to a Senior or Staff Engineer at a technology company. We may update the title to reflect this more directly, but the substance of the role is what matters -- this is a hands-on, code-every-day engineering position. You will be deep in the codebase, building systems, solving hard problems, and shipping software. If you're looking for a role where you direct work rather than do it, this isn't it.

You will build data-intensive applications that sit at the heart of how Oaktree sources, analyzes, and manages credit investments -- from the data pipelines and integration layers underneath to the interfaces that investment professionals use every day. The scope is the full stack of the platform: ingestion, transformation, analytics, and the tools that put insights into the hands of the people making decisions. The goal is concrete -- help Oaktree's credit business scale well beyond $200 billion in AUM by building technology that makes our investment professionals faster, sharper, and more effective.

We don't have traditional product managers. You'll work directly with business stakeholders and leadership to understand goals, translate them into well-scoped engineering work, and own delivery. This means you need to be comfortable operating in ambiguity, talking to users, understanding their workflows, and making sound prioritization decisions without a PM handing you a spec.

We are modernizing our architecture and technology stack in the cloud. The vision and direction are established -- we're not starting from zero or chasing the bleeding edge. We are building a system that is battle-tested, mature, and powerful: proven patterns, reliable technologies, and architecture that will hold up under the weight of a growing global credit business. Within that framework, you'll have real influence.

You'll help shape how the platform evolves, advocate for approaches grounded in your experience, challenge assumptions constructively, and bring strong opinions to the table about the components and subsystems you own. This is a collaborative environment where your perspective matters -- but one where we value pragmatism and durability over novelty.

Our environment is Azure-based, but what matters most is that you've operated at scale in at least one major cloud platform and can bring that experience forward.

We emphasize the use of grounded generative AI throughout our engineering and product workflows. You should be excited about applying AI practically -- not as a novelty, but as a core tool for building better software and delivering more value to users.

Responsibilities

• Build and own critical components of the credit platform end-to-end -- from data pipelines and services to the user-facing applications that investment professionals rely on daily.
• Design and implement data-intensive applications -- including ingestion pipelines, transformation layers, analytical engines, and APIs -- that are performant, reliable, and built to evolve.
• Contribute meaningfully to the modernization of Oaktree's technology stack -- helping shape how the platform evolves within an established architectural vision, advocating for approaches grounded in your experience, and bringing strong, informed perspectives to technical decisions.
• Work directly with business stakeholders and investment professionals to understand their goals, workflows, and pain points -- then translate that understanding into well-scoped, high-value engineering work.
• Operate as the de facto product owner for your areas of the platform: prioritize work, define MVPs, run experiments, iterate quickly, and make trade-off decisions grounded in user value and business impact.
• Apply grounded generative AI thoughtfully across your work -- using it to enhance development velocity, improve code quality, augment analytical capabilities, and build AI-powered features for end users -- while maintaining rigor around validation, transparency, and responsible use.
• Mentor and elevate engineers across the team through design reviews, code reviews, and by setting a high bar for craft and ownership.
• Implement modern development and release practices including CI/CD, feature flags, automated testing, and observability.
• Champion data-driven experimentation and continuous feedback loops, using telemetry and analytics to inform product and engineering decisions.
• Communicate trade-offs clearly to both technical and business audiences, framing engineering decisions in terms of outcomes.

Qualifications

• 10+ years of experience in software engineering, with a track record of building and owning data-intensive systems in production. You write code daily and expect to keep doing so.
• Proven success as a senior individual contributor or staff/principal engineer in domains with real complexity -- financial services, infrastructure, data platforms, or similarly demanding environments where getting the abstractions right matters.
• Strong computer science fundamentals: you think clearly about data structures, algorithms, concurrency, distributed systems, and performance -- not just frameworks and tooling.
• Deep expertise in designing systems that process, transform, and serve large volumes of data -- you think naturally about data modeling, pipeline architecture, storage trade-offs, and query performance.
• Proficiency in Python and at least one statically typed, compiled language (e.g., C#/.NET, C++, Java, Scala, Go). We haven't formalized a single stack -- we're looking for engineers with range who can reason about language and tooling trade-offs and help us make those decisions well.
• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and modern cloud-native patterns: microservices, event-driven architectures, containerization, and infrastructure as code. Our environment is Azure-based, but the ability to think in cloud-native terms matters more than any specific vendor certification.
• Comfortable working without a traditional PM structure -- you can engage directly with stakeholders, navigate ambiguity, prioritize independently, and own outcomes from problem definition through delivery.
• Strong product instinct: a demonstrated ability to connect technical execution with user needs and business outcomes, not just deliver to a spec.
• Skilled at mentoring engineers and influencing without authority -- you raise the bar for everyone around you.
• Excellent communicator who can think in both systems and stories, and who is equally comfortable whiteboarding with engineers and discussing priorities with business leaders.

Personal Attributes

• Outstanding organization skills with high attention to detail;
• Excellent interpersonal, verbal and written communication skills;
• Outstanding initiative and a strong work ethic;
• Responsible with a strong sense of dedication;
• Strong analytical and problem-solving skills;
• Works well under pressure and with time constraints; and
• Flexible and team-orientated with strong integrity and professionalism.

Education

• Bachelor's degree in Computer Science, Engineering, or related field required.
• Advanced degree (MS, MBA) or equivalent experience in product-focused engineering leadership preferred.

Pay and benefits

In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.