Staff Software Engineer, Infrastructure – AI Platform

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City Salt Lake City London Edinburgh Pune Dubai Geneva and São Paulo.

The Role

We are currently seeking a Staff Software Engineer Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products.

As a Staff Software Engineer youll architect build and operate the backend and platform systems that power AI Platform. Youll work across service design distributed systems cloud infrastructure event-driven processing observability CI/CD and production reliability helping shape the technical direction of a platform that supports scalable client-facing AI experiences.

This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code make sound architectural tradeoffs and own platform capabilities end-to-end not someone focused only on scripting cloud configuration or infrastructure tooling in isolation.

You will collaborate closely with frontend product and AI/ML engineers to deliver reliable secure and scalable systems that align with Addepars standards of performance resilience and trust.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What Youll Do

• Design build and operate backend services and infrastructure that power AI Platform products.
• Write high-quality production code for platform and service layers with strong emphasis on maintainability reliability and performance.
• Architect and evolve distributed systems that support AI Platform capabilities such as real-time interactions asynchronous processing and secure data workflows.
• Build and extend cloud-native infrastructure across core services networking storage identity and observability layers.
• Design and maintain infrastructure as code using Terraform including reusable modules environment management and drift-safe workflows.
• Build and operate Kubernetes/EKS-based services including deployment strategies health checks scaling configuration and containerization workflows.
• Design and improve CI/CD pipelines release workflows and engineering productivity systems.
• Build and maintain asynchronous and event-driven systems using queues RPC/service communication and resilient failure-handling patterns.
• Design and evolve relational and NoSQL data models including schema design migrations replication and access patterns.
• Build and maintain observability across metrics logs tracing dashboards and alerting.
• Apply secure-by-default engineering practices across IAM secrets encryption network isolation and production operations.
• Mentor engineers through code review design review incident reviews and technical guidance.
• Drive technical decisions that improve platform reliability scalability developer productivity and long-term system health.

Who You Are

• Bachelors degree in Computer Science Engineering or related technical field (or equivalent practical experience).
• At least 8 years of professional software engineering experience including significant experience in backend infrastructure OR platform oriented work.
• Strong proficiency in at least one production backend language such as Python Go OR Java and the ability to work effectively across a polyglot environment.
• Strong software engineering fundamentals including system design debugging code quality testing and operational ownership.
• Deep hands-on experience with cloud infrastructure in production environments.
• Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
• Experience with Kubernetes/EKS Docker and modern deployment practices.
• Experience designing or extending CI/CD pipelines in production environments.
• Experience with distributed systems microservice communication message queues asynchronous processing and failure handling.
• Experience with both relational and NoSQL database design in production systems.
• Strong observability and production-debugging skills.
• Strong communication collaboration and mentoring skills.
• Ability to operate as a software engineer first: we are not looking for someone who is only strong in scripting cloud configuration or infrastructure tooling without corresponding depth in production software engineering.

Bonus

• Experience with AI/ML platform tooling such as Databricks Spark MLflow or model-serving systems.
• Experience with real-time streaming or WebSocket-based systems at scale.
• Experience with multi-region architectures data residency or failover design.
• Experience in fintech or other highly regulated environments.
• Experience optimizing platform cost performance and reliability tradeoffs at scale.

Our Values

• Act Like an Owner - Think and operate with intention purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
• Champion Our Clients - Exceed client expectations. Our clients success is our success.
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas experiences skill sets perspectives backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email text and social media. The imposters are creating misleading email accounts conducting remote interviews and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions please reach out to .