About Savvy Wealth: Wealth management is a $545 billion industry in the US, yet remains archaic and inefficient with low technology penetration. 75% of financial advisors don’t offer digital communication beyond email, and 62% still build financial plans manually in Excel. This leads to a poor client experience and results in financial advisors spending over 70% of their time on non-client facing, manual work. Savvy is changing that. We’re building the most advisor-centric platform in wealth management: a digital-first solution that modernizes human financial advice. Advisors who partner with Savvy tap into AI-powered software, automated sales and marketing, and seamless back office workflows to scale faster and spend more time with clients. We’ve raised over $105M to date from Thrive Capital, Index Ventures, Canvas Ventures, Mark Casady (former LPL Financial CEO), and other top-tier investors. Our team is made up of repeat founders and operators who’ve helped build Airbnb, Square, Brex, Carta, Facebook, $200B+ RIAs, and more. Savvy is at a pivotal point in its growth trajectory, having established strong product-market fit in providing a modern platform to financial advisors. We’ve surpassed $5.1 billion in AUM in less than three years, grown 600%+ in the last 18 months, and are entering the next phase of the company which involves rapid expansion of our product offering and continued revenue growth. Come help us scale!
Key Responsibilities
Evaluate and architect our cloud infrastructure strategy, making deliberate build-vs-buy and tooling decisions that balance engineering velocity, cost, and operational maturity
Design and implement infrastructure-as-code foundations that give the team reproducible, auditable, and version-controlled environments
Own the deployment pipeline end-to-end, build CI/CD systems that engineers trust and that enable confident, low-friction releases across services
Build developer tooling and workflows that remove friction from the daily engineering experience: Local development environments that are fast to set up and faithful to production
Automation that eliminates toil without adding complexity
Clear, well-documented patterns that help engineers self-serve
Stand up observability and monitoring that gives engineers real insight into system behavior, not dashboards for the sake of dashboards, but tools that actually reduce time-to-diagnosis
Leverage AI to accelerate engineering workflows, from code review and test generation to infrastructure management and cloud agents
Partner with product engineering teams to drive adoption of platform improvements through trust and collaboration, not mandates
Help define and build upon our background AI agent infrastructure
Required Qualifications
5+ years of software engineering experience. You’ve built and shipped production features in web applications, not just maintained the infrastructure underneath them
Comfort reading and contributing to a Rails/GraphQL backend and a Next.js frontend. This role requires understanding the application layer to build the right platform abstractions
You’ve led or been a key contributor to at least one significant infrastructure initiative (cloud migration, PaaS-to-IaaS, platform buildout, etc.)
Strong proficiency with cloud infrastructure (AWS preferred), containerization (Docker), and infrastructure-as-code tools (Terraform)
Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions preferred)
Solid understanding of observability and monitoring tools (Datadog preferred) for metrics, logging, alerting, and distributed tracing
Proficiency in scripting and automation (Ruby, Python, Bash, or Go)
Systems thinking with pragmatism. You design reliable systems that scale for current and near-term needs without over-engineering for hypothetical futures
Strong communication skills with the ability to drive adoption through mentorship and partnership
