Site Reliability/Production Engineer

About Hebbia

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock , KKR , Carlyle , Centerview , and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Role

We are looking for a Site Reliability Engineer who thinks like a software engineer first. You will own critical production systems end-to-end, designing, building, and improving them rather than simply operating them. You will write production-quality code that keeps the platform reliable at scale, embed with product
engineering teams to influence architecture from the start, and build the internal tooling that every engineer at Hebbia depends on. This is not a ticket-driven ops role. You will spend most of your time writing code: instrumenting services, eliminating performance bottlenecks, building deployment platforms, and translating incident post-mortems into lasting architectural improvements.

Responsibilities

• Own critical production services end-to-end, from design and code review through deployment,
  operation, and incident response


• Profile, benchmark, and rewrite hot paths to eliminate bottlenecks as Hebbia scales


• Lead incident response and drive post-mortem culture, translating findings into code changes and
  architectural improvements rather than runbooks


• Design and build observability frameworks from scratch, writing custom instrumentation, alerting
  logic, and debugging tooling that surfaces production issues before customers feel them


• Define and enforce SLOs across platform services and build the feedback loops that keep
  engineering teams accountable to them


• Own capacity planning and cost efficiency: model growth, right-size infrastructure, and write
  automation that prevents over-provisioning and resource exhaustion


• Build robust, well-tested internal platforms and deployment tooling held to the same engineering
  standards as customer-facing code


• Own and continuously improve CI/CD systems so engineering teams can ship safely and quickly


• Embed with product engineering teams as a peer software engineer, contributing directly to
  production codebases and co-designing systems for reliability from the start


• Partner on infrastructure security through threat modeling, hardening, and automated compliance
  tooling

Who You Are

• 5+ years software development with a track record of writing, shipping, and maintaining production services, not just operating infrastructure


• Production-grade proficiency in at least one systems or backend language: Go, Python, C++, or Rust


• Proven experience as a Production Engineer, SRE, or software engineer with a deep infrastructure focus, comfortable owning services end-to-end across the full stack


• Deep understanding of distributed systems


• Container orchestration expertise and hands-on experience debugging complex distributed failures in production


• Working knowledge of OS-level concepts


• Cloud platform fluency (AWS preferred)


• Experience in building and maintaining observability stacks


• Strong CI/CD pipeline expertise and a track record of improving developer velocity without sacrificing safety


• Background at a company with a Production Engineering or software-focused SRE culture is a strong plus


• Experience building platforms for AI/ML workloads or high-throughput document processing pipelines is a plus

Compensation

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

PTO: Unlimited

Insurance: Medical + Dental + Vision + 401K

Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late

Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent

Fertility benefits: $15k lifetime benefit

New hire equity grant: competitive equity package with unmatched upside potential

#LI-Onsite