Devops Engineer (West)

At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. 

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "why" and how behind model outcomes.  

Fiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. 

Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.   We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

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.

What You'll Do

• 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

What We are Looking For

• 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
• Preferably Hybrid with at least 1 day a week in the Palo Alto office. Will consider full remote for a strong candidate

Nice To Have

• 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

Pay Range in San Francisco California is $130,000 - $170,000.

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.

Fiddler is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.