Who We Are :

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva.

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, you'll architect, build, and operate the backend and platform systems that power AI Platform. You'll 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 Addepar's standards of performance, resilience, and trust.

What You'll 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 :

- Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).

- At least eight years of professional software engineering experience, including significant experience in backend, infrastructure, platform, or SRE-oriented work.

- Strong proficiency in at least one production backend language such as Python, Go, Java, or C, 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.