DevOps Engineer, Fiddler AI
$130-170k
Listed salary range applies to San Francisco only
More information about location
Enterprise AI observability
Job no longer available
Enterprise AI observability
101-200 employees
Job no longer available
$130-170k
Listed salary range applies to San Francisco only
More information about location
101-200 employees
Company mission
To build trust into Artificial Intelligence.
Role
Who you are
- B.S or above in Computer Science or related technical major
- 3+ years DevOps, Systems/Infrastructure engineering experience
- Prior experience at all phases of SDLC from conception to extinction
- Hands-on experience with AWS technologies (EC2, VPC, EBS, ALB, RDS, S3, EKS etc.)
- Proficiency with scripting (shell, Python), infrastructure/application mgmt tools (Terraform, Helm)
- Hands-on experience with CI/CD pipeline and Build tools such as Bitbucket pipeline, Github Actions, Agro CD/Workflow
- Experience with Linux OS, RedHat, Ubuntu
- Experience with Infrastructure monitoring tools like Prometheus, Loki, Fluentbit, Grafana etc
- Experience with management of Kubernetes and Docker/Container
- Familiarity with software security methods
- Experience in deploying application on Openshift, AKS, GKE are highly desiredGood Understanding with
- Good understanding and High Availability and Disaster Recovery design techniques and infrastructure
Desirable
- Experience in deploying applications on Openshift, AKS, GKE
- Experience with AWS Gov Cloud
- Certification in DevOps related courses (DevOps, CKAD, AWS)
- Familiarity with cloud and application security, scanning tools
- Knowledge of compliance standards
What the job involves
- This Devops Engineer will be working closely with Backend, Solutions Engineering, Customer Success and Product in delivering best-in-class technical infrastructure to support internal/external product delivery
- Manage the containers-based model serving platform in a hosted cloud environment
- Deploy and support K8s based application in customer on-premise VPCs in multi-cloud environments
- Focusing on infrastructure automation (infrastructure as code, cloud integration)
- Participate in the development, execution, and support of release management and operations
- Build and manage processes that introduce DevSecOps concepts of testing, prototyping, security, automation, etc
- Deploy and manage DevOps CI/CD pipelines
- Establish monitoring and infrastructure health reporting for the advancement of self-healing infrastructure principles
- Enhance/extend a configuration/deployment/monitoring framework and interact with internal customers and the development team to gather and define requirements and document architecture
- Follows a formal process using specifications, data flow diagrams, and other accepted design techniques and also adheres to regulations, standards, and established guidelines for development and delivery within area of responsibility
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow
- Create technical documentation, version control, and code check-in playbooks for best practices
- On-call and/or after-hours work required
- Essential Competencies: Professionalism/Personal Accountability, Collaboration and Teamwork, Communication, Flexible and Adapts to Change, Service to Customers and Clients
Our take
AI and machine learning are increasingly shaping the way organizations make decisions. However, one major challenge is that AI technology often operates as a "black box". Unlike traditional software, where developers can review code to understand its logic, AI systems can be opaque, making it difficult for companies to fully grasp how data is interpreted and outcomes are reached.
Fiddler AI aims to address this gap with an explainable AI platform that offers transparency into how models make predictions. By providing clear insights into decision-making processes and enabling adjustments when bias is detected, Fiddler enhances trust and accountability in AI systems.
This focus on building trust in AI comes at a crucial time, as the market is expected to grow over 30% annually. Fiddler AI has already partnered with major banking institutions and online brands like Etsy. And with an impressive $30 million Series C funding round behind it, Fiddler is well-positioned to compete with rivals like Reflektion and Conviva.
Steph
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2026
$30m
SERIES C
Dec 2024
$18.6m
SERIES B
Total funding: $93.8m
Company benefits
- Equity
- 401K benefits
- 12 holidays and 3 company recharge days
- Flexible spending account
- Bi-monthly team building events
- Commuter benefits for Palo Alto
- Monthly gym reimbursement
- Annual home office stipend
- Medical, dental, vision, and life insurance
- 15 PTO days and 10 sick days
- Paid parental leave for 18 weeks
- Hybrid collaboration
- In-office lunch, snacks, coffee
- Monthly massages for Palo Alto
- Annual learning stipend
Company HQ
Ventura, Palo Alto, CA
Leadership
Krishna Gade
(Co-Founder & CEO)Former member of Specialized Types and Engineering Manager at Facebook. They also worked as the Head of Engineering at Pinterest.
Amit Paka
(Co-Founder, COO, CPO & Board Member)Former Senior Director of Product Management at Samsung Mobile. Founder and former CEO at Parable. Former Head of Product at Paypal.
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