Software Site Reliability Engineer, Hebbia
$160-300k
+ Competitive equity package with unmatched upside potential
5 days a week in office
The leading AI platform for finance
Be an early applicant
The leading AI platform for finance
101-200 employees
Be an early applicant
$160-300k
+ Competitive equity package with unmatched upside potential
5 days a week in office
101-200 employees
Company mission
To put capable AI in the hands of 1 billion people by 2030.
Role
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
What the job involves
- 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
- 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
Our take
Hebbia is an AI platform that can actually keep up with the pace and complexity of modern decision-making. USed by the world's top asset management, investment banks, law firms, and Fortune 500 companies, Hebbi's "AI-powered analyst" helps team drive investment decisions. Instead of relying on chatbots or basic search tools, Hebbia allows AI agents to break down complicated work into clear, traceable actions so analysts and deal teams have a better way to automate their most time-intensive workflows.
That capability just expanded in a major way too, with Hebbia's acquisition of FlashDocs, a leading generative AI platform for enterprise-grade slide decks and report creation. FlashDocs already automates more than 10,000 slides per day fro top Ai and enterprise companies, and now its technology allows Hebbia users to generate investment memos, board materials, diligence summaries, and branded presentations in just seconds. By combining deep document analysis with automatic artifact creation, Hebbia is tackling some of the most tedious tasks in finance, consulting, an legal work.
This momentum has continues with major industry partnerships, including its recent integration with FactSet, one of the most trusted names in financial data. By bringing FactSet's market, company, an estimates data directly into the platform, analysts can now blend structured financial datasets with Hebbia's unstructured document intelligence in real time. Backed by investors such as a16z, Peter Thiel, Google Ventures, and Index, and already deployed across a third of the world's largest asset managements, Hebbia has quickly positioned itself as the AI platform capable of powering the next generation of knowledge work.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
15 people
Meet Barry, GTM
Our mission
Partner with leading financial institutions to turn complex workflows into AI solutions and make Hebbia indispensable to their success.Company
Funding (last 2 of 3 rounds)
Jul 2024
$130m
SERIES B
Jul 2022
$28.6m
EARLY VC
Total funding: $159.7m
Company benefits
- Start-up equity
- Competitive Salary
- Office in Downtown NY
- Commuter benefits
- Flexible PTO
- Comprehensive medical, dental, and vision insurance
- Daily Catered Lunches
- Fertility HRA
- Parental Leave
Company values
- Cogency
- Compassion
- Running Hard
- Readiness
Company HQ
SoHo, New York, NY
Articles
Leadership
George Sivulka
(Founder & CEO)Founded Hebbia in 2020.
Danny Wheller
(VP of Business, Strategy & Growth)Previously spent 6 years at Palantir, working in Business Development and as the Global Head of Financial Services.
Tom Reeson Price
(VP of Sales)Previously spent nearly 4 years at AuditBoard as a Director/VP of EMEA> Prior to that, he was a Regional Manager of Enterprise at AppDynamics and held several Sales roles at HeadBox.
Jennifer Chittim
(Head of Customer Success)Previously the VP of Global Customer Success at Templafy, the VP of Customer Success & Account Management at Vi and Botify and the Head of CLient Partnerships (Account Management) at Wunderkind.
Aabhas Sharma
(Chief Technology Officer)Previously spent a decade across Sosh, Postmates, and Uber through two acquisitions, rising from Software Engineer to Director of EPD. Most recently, he was CTO of Found, scaling Series A through C.
Tom Navin
(Head of People)Previously spent 8 years at Latch, joining at a People Operations Manager before becoming the DIrector of People Operations and then VP of People.
Jillian Liu
(Head of Revenue Operations)Previously a Senior Director of Revenue Operations at Alloy. Prior to that, they spent nearly 4 years at Nightfall AI, holding Senior/VP Strategy & Operations roles.
Arjun Mahesh
(Head of Design)Previously the Head of Design at Verse and a Product Designer at Stripe.
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