Senior Platform Engineer - Technical Staff
Job in
New York City, Richmond County, New York, USA
Listed on 2026-08-05
Listing for:
Savvy Wealth
Full Time
position Listed on 2026-08-05
Job specializations:
-
Software Development
Software Architect, Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
Senior Engineer
Savvy is hiring a Senior Engineer to lead the design and delivery of complex product and platform work. Our platform is where AI meets fiduciary advice, and the senior engineers who build it don't just use AI to go faster, they make decisions about where AI belongs in the system, how to build it reliably, and how to raise the team's ability to do the same.
You'll own end-to-end delivery of high-impact projects, establish engineering patterns for the team, and help define how our platform evolves as we scale.
What you'll do:
- Establish engineering patterns and standards for the team: how we build, test, observe, and iterate across both product and platform work.
- Apply and champion AI tooling (Claude Code, Codex, Cursor) to accelerate your own output and raise the team's velocity.
- Drive architectural decisions (data models, service boundaries, system tradeoffs) and communicate them clearly to technical and non-technical stakeholders.
- Mentor engineers, give substantive feedback, and be a go-to resource for technical judgment across the team.
- Partner with Product and Design to shape scope and de-risk execution on high-ambiguity problems.
- Work directly with our customers (financial advisors) to understand their workflows and bring that context into how you build.
Senior engineer expectations:
- Lead medium-to-large projects from scoping through production: define the approach, manage dependencies, and communicate progress clearly to stakeholders.
- Make good architectural decisions across product and platform work - and document them in a way that the team can learn from.
- Raise code and system quality through design reviews, RFCs, and strong testing and observability standards.
- Stay consistently ahead of the curve on AI tooling and model capabilities. Be able to translate this into concrete decisions: what to build with AI, how to build it reliably, and where it's not worth the complexity.
- Mentor engineers on technical and product judgment as they develop.
- Has strong product instincts and exercises them: engineers at Savvy own outcomes, not just tasks.
Must have:
- Track record of leading projects end-to-end with measurable business impact : you've taken ambiguous problems from 0 to production and held the quality bar throughout.
- Hands-on experience incorporating AI into products or systems you've shipped : you apply tools like Claude Code, Codex, or Cursor aggressively in your own workflow. You understand the design tradeoffs (prompt reliability, latency, cost, failure modes) not just the happy path.
- Strong infrastructure/platform engineering depth :
Modern development ecosystem fluency: CI/CD pipelines, IaaS (AWS/GCP), and observability platforms (Datadog, Honeycomb, etc.). Strong experience with k8s and Terraform is a big plus. - Strong system design instincts : you think carefully about data models, service boundaries, failure modes, and how systems hold up at scale - we are at a point where we constantly think about tradeoffs surrounding velocity and scaling.
- Strong technical communication : you write clearly, give effective feedback, and collaborate well across functions in a startup environment.
Nice to have:
- Fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
- Experience with LLM evaluation frameworks (RAGAs, Lang Smith, custom harnesses) and a systematic approach to measuring reliability.
- Experience with vector databases, embedding pipelines, or retrieval-augmented generation at production scale.
- Competitive salary and equity package
- Unlimited PTO + paid company holidays
- Access to holistic medical, dental, and vision plans
- Company 401(k), Commuter, and HSA/FSA plans
- NYC office in the heart of Manhattan
- Lunch and snacks provided in the office
- Access to virtual mental health care (Spring Health), vision related benefits (XP Health), and health concierge (Rightway) to help you find the right care
- Access to counseling for stress management, dependent care, nutrition, fitness, legal, and financial issues (Guardian Work Life Matters EAP)
Position Requirements
10+ Years
work experience
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