Company Overview:
Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.
About the Role
We are building a rapidly scaling GenAI-powered SaaS platform that enables investigators to interact with complex case data through a conversational AI interface. Our system leverages RAG architecture and agentic GenAI workflows to deliver advanced AI capabilities in production.
We are looking for a Senior DevOps / Cloud Engineer to own our application services, cloud infrastructure, deployment pipelines, and production reliability in this dynamic AI environment.
This is a hands-on role focused on serverless architecture, LLM-based systems, and agentic workflows, working closely with Engineering and Customer Success to ensure the platform is reliable, scalable, and cost-efficient.
Key Responsibilities
- Own and manage application services running on GCP infrastructure, including serverless and managed services
- Design and maintain robust CI/CD pipelines for rapid, safe deployments
- Operate and optimize GenAI/LLM workloads in production, including RAG pipelines and agentic workflows
- Monitor and improve latency, cost, and reliability of AI-driven systems
- Troubleshoot complex production issues across application, data, and infrastructure layers
- Work with and optimize BigQuery-based data workflows, queries, and performance
- Support and debug multi-step AI pipelines and agent orchestration flows
- Implement and maintain observability (logging, metrics, tracing, alerting), including for AI pipelines
- Collaborate with engineering teams on architecture improvements for evolving GenAI systems
- Partner with Customer Success to investigate and resolve customer-impacting issues (minimal direct customer interaction)
- Enforce security and best practices in a sensitive data environment
What We’re Looking For
- A senior engineer who can own production systems end-to-end
- Strong problem-solver with the ability to debug complex, non-deterministic AI systems
- Comfortable working in a rapidly evolving GenAI and agentic architecture
- Pragmatic mindset — balancing performance, cost, and reliability
- High ownership and ability to work independently
Why Join Us
- Build and scale a real-world GenAI product with meaningful impact
- Work on cutting-edge challenges involving LLMs, RAG, and agentic systems
- Be part of a small, fast-moving, high-impact innovation team
Required Qualifications
- 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering
- Strong hands-on experience with Google Cloud Platform (GCP)
- Proven experience designing and operating serverless architectures, including Cloud Run, Cloud Functions, or equivalent services
- Experience with BigQuery, including querying, performance tuning, and troubleshooting
- Experience running and supporting production SaaS applications
- Hands-on experience with Generative AI (GenAI) / LLM-based applications in production, including RAG systems, model APIs, or similar implementations
- Experience supporting or operating multi-step AI pipelines or agentic workflows
- Strong experience with CI/CD pipelines, such as GitHub Actions
- Solid scripting and programming skills in Python, TypeScript, Bash, or similar languages
- Experience with observability and monitoring tools
Preferred Qualifications
- Experience optimizing LLM performance, cost, and reliability at scale
- Familiarity with vector databases, embeddings, and retrieval systems
- Experience with infrastructure as code, such as Terraform or similar tools
- Background working in secure or regulated environments
- Experience in fast-scaling or experimental product environments
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
