Senior Software Engineer, Client Engineering

Position Overview

At Apollo, we’re a global team of alternative investment managers passionate about delivering uncommon value to our investors and shareholders. With over 30 years of proven expertise across Private Equity, Credit and Real Estate, regions, and industries, we’re known for our integrated businesses, our strong investment performance, our value‑oriented philosophy – and our people.

Apollo Insurance Solutions Group (ISG) provides tailored portfolio and asset management services to retirement services and insurance clients. We are seeking a Senior Engineer to join our Client Engineering team, where you will play a hands‑on role in building and operating the systems that support client‑facing operations, including onboarding and reporting.

This role is ideal for a seasoned back‑end or full‑stack engineer with a strong software engineering background and solid computer science fundamentals. You will spend the majority of your time designing, developing, and operating production systems in a complex, data‑driven financial environment, while also serving as a technical leader who mentors teammates and contributes to engineering excellence across the team.

Hands‑On Engineering & Ownership

• Design, build, and maintain Python‑based services and APIs that support client onboarding, data ingestion, validation, and reporting.
• Own systems end to end, from technical design and implementation through deployment, monitoring, and production support.
• Build reliable, observable, and well‑tested platforms that handle business‑critical financial data at scale.
• Contribute to full‑stack components when required, including internal tools and client‑facing reporting interfaces.

System Design & Architecture

• Lead the design of scalable, maintainable system architectures with a strong emphasis on correctness, performance, and operational simplicity.
• Make pragmatic architectural decisions that balance near‑term delivery with long‑term platform health.
• Continuously improve existing systems by reducing technical debt and operational risk.

Workflow & Platform Engineering

• Design and implement workflow‑driven systems that orchestrate onboarding, approvals, validations, and reporting processes.
• Translate complex client, operational, and regulatory requirements into efficient and well‑engineered workflows.
• Drive automation and self‑service capabilities across the client lifecycle.

Collaboration & Technical Leadership

• Act as a senior technical mentor, setting a high bar for engineering quality, ownership, and accountability.
• Partner closely with Product, Data, Operations, Security, and Compliance teams to deliver solutions aligned with business priorities.
• Provide hands‑on technical input into planning, estimation, and prioritization.

Required Qualifications

• 6+ years of professional software engineering experience, with deep expertise in back‑end development.
• Advanced proficiency in Python and modern Python frameworks (e.g., FastAPI, Flask, Django).
• Strong software engineering fundamentals, including system design, data modeling, testing, and code quality.
• Experience building distributed systems, APIs, and data‑intensive applications.
• Strong SQL skills and experience working with relational databases in production.
• Experience operating and supporting systems in production environments with high reliability and correctness requirements.
• Proven ability to take ownership and deliver independently in a high‑expectation environment.
• Ability to thrive in a fast‑paced, dynamic environment, balancing multiple tasks simultaneously.
• Entrepreneurial mindset with a strong sense of initiative and drive.
• Collaborate and adept working with professionals of all levels.

Preferred Qualifications

• Full‑stack experience with modern front‑end technologies (e.g., React, Type Script).
• Experience designing and building workflow‑based systems, including onboarding pipelines and approval or orchestration frameworks.
• Experience working with or building AI‑powered solutions, such as:
• LLM‑driven automation or decision support
• Intelligent document processing or data extraction
• AI‑assisted reporting, validation, or client‑facing…