
Develops artificial intelligence and automation tools for financial and legal research.
Software Engineer, Site Reliability
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 Black Rock, 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
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Production-grade proficiency in at least one systems or backend language: Go, Python, C++, or Rust
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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
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Deep understanding of distributed systems
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Container orchestration expertise and hands-on experience debugging complex distributed failures in production
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Working knowledge of OS-level concepts
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Cloud platform fluency (AWS preferred)
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Experience in building and maintaining observability stacks
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Strong CI/CD pipeline expertise and a track record of improving developer velocity without sacrificing safety
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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 @ HebbiaPTO: 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
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About Hebbia

Hebbia
Series BHebbia is an American technology company that develops artificial intelligence and automation tools for financial and legal research. The company was founded in 2020 by George Sivulka, a former Stanford University PhD student, with its headquarters in New York City.
51-200
Employees
New York
Headquarters
$1.3B
Valuation
Reviews
10 reviews
3.9
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
4.1
Career
3.7
Management
3.4
72%
Recommend to a friend
Pros
Flexible work arrangements and hours
Supportive management and great leadership
Good team culture and inclusive environment
Cons
Heavy workload and long hours during peak times
Management issues and lack of clear direction
Compensation could be better
Salary Ranges
12 data points
Junior/L3
Junior/L3 · Analyst
1 reports
$156,000
total per year
Base
$120,000
Stock
-
Bonus
-
$156,000
$156,000
Interview experience
62 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
37%
Experience
Positive 66%
Neutral 20%
Negative 14%
Interview process
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
Common questions
Tell me about a challenging project
System design question
Coding problem
Why this company
Latest updates
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