Site Reliability Engineer

Reposted 13 Days Ago
Easy Apply
2 Locations
In-Office
160K-300K
Senior level
Artificial Intelligence • Legal Tech • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Hebbia is the AI interface for knowledge work.
The Role
As a Site Reliability Engineer, you will ensure system uptime, manage CI/CD pipelines, and enhance security and observability while troubleshooting issues in a collaborative environment.
Summary Generated by Built In
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 $15 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

As a highly skilled Site Reliability Engineer (SRE), you will contribute to building systems that optimize the uptime and reliability of our platform, and support the management and optimization of our DevOps and infrastructure operations. You will be responsible for owning our deployment pipelines, building and maintaining our continuous integration and continuous deployment (CI/CD) systems, ensuring the reliability and performance of our services, enhancing our observability, supporting our local development environments, and bolstering our security posture.  Your technical expertise and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack.

Responsibilities
  • Assist in managing deployment pipelines to facilitate smooth and efficient software releases.
  • Help implement and maintain observability solutions for monitoring system performance and reliability.
  • Support local development environments to optimize developer workflows.
  • Work with development teams to ensure infrastructure aligns with project requirements.
  • Contribute to improving the security of our infrastructure by assisting with proactive measures and audits.
  • Assist in developing and maintaining automation scripts and tools to enhance operational efficiency.
  • Help troubleshoot and resolve infrastructure and application issues to minimize downtime and maintain smooth operations.
  • Participate in evaluating and integrating new technologies to enhance the scalability, reliability, and security of our infrastructure.
Who You Are
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 5+ years software development experience at a venture-backed startup or top technology firm.
  • Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role.
  • Strong expertise in managing CI/CD pipelines and deployment automation.
  • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud (we are an AWS shop).
  • Solid understanding of containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, or similar.
  • Knowledge of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
  • Familiarity with security best practices and tools for infrastructure and application security.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Strong communication skills and the ability to work effectively in a collaborative environment.
  • A proactive and self-motivated approach to learning and adopting new technologies.
  • Passion for continuous improvement and operational excellence.
Compensation

The salary range for this role is $160,000 to $300,000. However, 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

Top Skills

AWS
Azure
CloudFormation
Datadog
Docker
GCP
Grafana
Kubernetes
Prometheus
Terraform

What the Team is Saying

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The Company
HQ: New York, NY
90 Employees
Year Founded: 2020

What We Do

Hebbia is the AI platform for knowledge work used by leading finance, law, and Fortune 500 companies. The product orchestrates "AI agents" that accurately tackle the most complex tasks by breaking them down into understandable actions. Users can collaborate with AI to extract, structure, and analyze millions of documents at scale, allowing for full workflow automations with generative AI.

We've raised funding from a16z, Google Ventures, Peter Thiel, Index Ventures (via Mike Volpi), Jerry Yang (founder of Yahoo), Ram Sriram (one of the first investors in Google), and others, and have built the fastest-moving team in the world.

Why Work With Us

We’re building a company of only the best.
We’re proud to count top talent - with decades of experience from premier startups, financial services, and legal firms - as Hebbians.
Several members of our team first met Hebbia as customers and found the product so exhilarating that they dropped everything to join us.

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Hebbia AI Offices

OnSite Workspace

Typical time on-site: None
HQNew York, NY
SoHo

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