Jobleads-US
New York / Global
You have blocked notifications
Oops! You have blocked notifications. Click here for more info
You have blocked notifications, please check your browser settings.
You're currently subscribed to job notifications
Subscribe to notifications
You will no longer receive notifications
New York / Global
Our client is an AI-native company automating the operational back office of healthcare. The platform ingests huge volumes of messy, unstructured inputs, documents, faxes, voice, and system events, and turns them into structured workflows that real teams depend on every day. This is not a chatbot or a thin AI wrapper. It is a live production platform, recently funded, growing fast, and small enough that this hire changes its trajectory.
What You’ll Actually Be Working On
The platform ingests high volumes of operational inputs including documents, emails, faxes, voice, system events, and customer requests, then transforms them into structured workflows used by teams in real time.
This includes:
File ingestion and processing pipelines, including OCR and document parsing
Event-driven workflows for routing, transformation, and downstream actions
Systems that must gracefully handle failure states, retries, and partial data
AI-assisted processing layers where LLMs are used to extract, interpret, and act on unstructured inputs
Much of the system exists today and works, but was built for an earlier stage. The next phase is about scaling reliability, improving correctness, and evolving the architecture under real production load.
About the Role
We are hiring a Principal Software Engineer to own the core backend systems of a high-throughput production platform. The systems exist today and they work, but they were built for an earlier stage. Your job is to reshape them under real load: scaling reliability, improving correctness, and evolving the architecture while the business grows around it. You will work directly with senior engineering leadership, influence platform direction, and own systems from design through production. This is a deeply hands‑on individual contributor seat for someone who has stepped into complex, imperfect backend systems before and changed how they work.
What You Will Do
Design, build, and evolve backend services that process high-volume operational data in production
Own and reshape distributed systems that power ingestion, transformation, routing, and persistence workflows
Lead the decomposition and redesign of legacy or tightly coupled services into scalable, fault‑tolerant systems
Build microservices with strong guarantees around performance, availability, and correctness
Work with event-driven architectures, messaging systems, and data pipelines at scale
Architect and operate cloud-native infrastructure using Kubernetes and GCP
Identify and resolve performance bottlenecks across services and data flows
Partner with engineering leadership on long‑term platform architecture and technical direction
Ship production systems iteratively while maintaining a high bar for reliability and quality
Work directly with modern AI tools including Claude and similar systems to accelerate development, prototype solutions, and build production features
What We Are Looking For
8+ years of experience building backend or distributed systems in production environments
Proven ownership of services operating under real uptime, latency, and scale constraints
Strong proficiency in Go, Python, or similar backend languages
Experience designing and evolving microservices, APIs, and event‑driven systems
Hands‑on experience working with high‑volume or unstructured data pipelines
Strong cloud‑native experience with containerized systems and modern infrastructure tooling
You have operated as a senior‑most engineer on a team, owning ambiguous, high‑impact systems without needing direction
You have stepped into systems that were not built for current scale and led meaningful architectural change
You are comfortable making decisions with incomplete information and being accountable for the outcome in production
Modern Development Approach
Experience using AI‑assisted development tools such as Claude, Copilot, or similar, or strong interest in integrating them into your workflow
High ownership mindset with the ability to drive complex problems through to production
Clear communicator who collaborates well across engineering and product teams
Nice to Have
Experience evolving backend platforms in startup or growth‑stage environments
Exposure to healthcare, fintech, logistics, or other operationally complex domains
Background working on systems where architecture evolved alongside the business
This Role Is Not a Fit If
You prefer well‑defined problems and stable systems over evolving, imperfect environments
Your recent experience has been focused primarily on internal tools or low‑scale applications
You have not worked directly on systems where failure, scale, and correctness are constant concerns
You prefer architectural discussions over hands‑on implementation
Compensation and Benefits
Salary range: $200,000 to $300,000 USD depending on experience and impact
Competitive equity package
401(k) program
Comprehensive health, dental, and vision coverage
Flexible PTO and paid holidays
Paid parental leave
Why This Role Matters
This role sits at the core of the platform. The systems you build will directly impact how organizations operate every day, at scale. You will have real ownership, real responsibility, and the opportunity to reshape a platform that is already delivering meaningful impact and is still evolving quickly.
If you enjoy complex backend challenges and want your work to matter, this role was built for you.
#J-18808-Ljbffr
New York / Global
, United States / Global
, United States / Global
New York / Global
New York / Global
New York / Global