VP, Product Engineer, Alternatives

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 DevOps and DevSecOps. 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, DevOps, DevSecOps, 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 used in modern back‑end or platform development (e.g., C#, .Net, Go, Rust, or Scala). Hands‑on experience designing and delivering business‑critical applications end‑to‑end (architecture, implementation, testing, deployment, monitoring, and support). Practical familiarity with investment management workflows (e.g., research support tools, portfolio or risk dashboards, order and execution workflows, or private markets deal and pipeline management). Experience with cloud‑native development and containers (e.g., Docker, Kubernetes), including deploying and operating services in production. Solid experience with CI/CD and modern DevOps practices (Git‑based workflows, automated testing, infrastructure as code, monitoring/logging). Demonstrated involvement in secure development practices or DevSecOps, such as integrating security scanning into pipelines or working closely with security teams. Strong SQL skills and experience working with large analytical datasets and data warehouses/data lakehouses. Proven ability to interface directly with business and product stakeholders, gather requirements, and deliver solutions end‑to‑end. Excellent written and verbal communication skills, including the ability to explain complex technical concepts in clear, accessible language. Preferred Qualifications Advanced degree in Computer Science, Engineering, Information Systems, or a related technical field. Direct experience in buyside or private markets environments (e.g., asset management, hedge funds, private equity, private credit, real assets). Experience building or evolving modern data lakehouse architecture (e.g., Parquet, Apache Iceberg or Delta Lake, Trino, Dremio). Hands‑on experience with DataOps and MLOps tools (e.g., Airflow, Prefect, Dagster, MLflow, Kubeflow, or similar) in production settings. Exposure to capital markets and asset management datasets/vendors (e.g., market data, fundamentals, reference data, alternative data). Demonstrated experience experimenting with or deploying generative AI applications, agents, or copilots in developer or business workflows. Background optimizing application performance and reliability, including scaling, caching strategies, and performance tuning. Experience in high‑availability, mission‑critical systems used in financial services or similarly regulated industries. Prior experience in a senior/lead role guiding engineering projects and mentoring engineers. Salary Range: $175,000.00 - $240,000.00 PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Equal Employment Opportunity and Aff… (full EEO statement omitted for brevity) Applicants with Disabilities: PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at View phone number on click.appcast.io and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days. #J-18808-Ljbffr