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Full-Time

Senior Platform Engineer

Infrastructure & Security

Confirmed live in the last 24 hours

Fieldguide

Fieldguide

51-200 employees

AI-powered platform for audit and advisory

Fintech
AI & Machine Learning
Financial Services

Senior, Expert

Remote in USA

Category
DevOps & Infrastructure
Platform Engineering
Cloud Engineering
Required Skills
Kubernetes
Python
TypeScript
AWS
Development Operations (DevOps)
Requirements
  • 5+ years of total experience in SRE, DevOps, platform, or infrastructure roles
  • Experience with high-uptime, globally distributed environments and IaC principles
  • Experience with cloud platforms, preferably AWS
  • Experience with container runtime architectures, preferably Kubernetes
  • Proficiency with at least one programming language, preferably Typescript, Python, or Go
  • Experience leveraging network and security concepts to meet business compliance needs
  • Experience with relational database design and administration
  • 1+ year in a startup environment or interest in working at a startup
Responsibilities
  • Serve as a steward of our platform by designing, implementing, and testing our infrastructure to meet our application feature and scalability goals
  • Foster a learning culture within the team by conducting code reviews, root cause analysis, and continuous learning exercises
  • Serve as a subject matter expert on our infrastructure to other teams seeking to build their services upon it
  • Coordinate closely with the Application pillar in our Platform team as we tackle major initiatives like multi-region deployments and telemetry improvements

Fieldguide provides a platform that enhances the audit and advisory processes for businesses in the financial technology sector. Its main product, the AI Advisory & Audit Cloud, uses artificial intelligence to streamline tasks, saving time and improving client satisfaction. The platform is designed for large advisory and audit firms, supporting various regulatory frameworks like SOX and HIPAA, making it adaptable for different audit needs. Fieldguide differentiates itself from competitors by offering a subscription-based service that includes features like engagement management, workpaper management, automated request management, and collaborative report generation, all aimed at increasing efficiency and reducing communication overhead. The goal of Fieldguide is to help firms improve their operational effectiveness and profitability through advanced technology.

Company Stage

Series B

Total Funding

$50.2M

Headquarters

San Francisco, California

Founded

2020

Growth & Insights
Headcount

6 month growth

30%

1 year growth

60%

2 year growth

127%
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Simplify's Take

What believers are saying

  • Fieldguide's recent $30M Series B funding will enable the company to expand its market reach and enhance its AI capabilities, positioning it for significant growth.
  • The launch of Fieldguide Insights and other advanced capabilities demonstrates the company's commitment to innovation and improving client relations.
  • Partnerships with major accounting associations like Allinial Global highlight Fieldguide's influence and potential for widespread adoption in the industry.

What critics are saying

  • The competitive landscape in the financial technology sector is intense, requiring Fieldguide to continuously innovate to maintain its edge.
  • Reliance on AI technology means that any shortcomings or failures in the AI system could significantly impact client trust and satisfaction.

What makes Fieldguide unique

  • Fieldguide leverages AI to streamline audit and advisory processes, offering a unique end-to-end platform that enhances efficiency and accuracy, unlike traditional methods.
  • The platform's ability to handle a wide range of regulatory frameworks, including SOX, HIPAA, and FFIEC, makes it versatile and highly adaptable for various audit and advisory engagements.
  • Fieldguide's subscription-based model ensures a steady revenue stream while providing continuous updates and improvements, setting it apart from competitors with less reliable revenue models.