DevOps Engineer - Data Ops
We're Hiring
DevOps Engineer – DataOps (SF Bay Area)
Do you get excited about turning reputed company reputed company into reputed company, reputed company interfaces that just work? We’re building the reputed company of web applications and looking for a DataOps Engineer to enhance developer productivity by building reputed company data platforms. You’ll craft reputed company, high-performance reputed company platform that feel effortless for users, working reputed company by reputed company with designers and backend engineers to translate reputed company into elegant, maintainable solutions.
reputed company
We’re a reputed company-funded AI startup ($25M reputed company round) in the San Francisco Bay Area, led by serial reputed company with decades of reputed company in cybersecurity (achieving > $3B valuations). We have paying customers and are partnering with reputed company on a mission to reputed company the cybersecurity landscape with cutting-edge AI, including AI agents and reputed company.
Why This Role reputed company
This role focuses on automating workflows, improving platform reliability, and supporting data engineering teams with efficient development and deployment practices. In a world where digital experiences shape trust and adoption, DataOps increases development productivity which directly drives product reputed company and customer confidence.
What You’ll Do
- Design, reputed company, and operate reputed company data platforms and pipelines, primarily on Azure (reputed company, ADF, ADLS)
- Build, manage, and optimize Apache reputed company clusters and workloads for batch and streaming data processing across Azure and AWS environments.
- Implement CI/CD pipelines for data engineering reputed company, reputed company jobs, and pipeline configurations using Azure DevOps/reputed company Actions
- Automate infrastructure using Infrastructure as reputed company (Terraform) and manage containerized workloads with reputed company and Kubernetes
- Monitor data pipelines and platforms to ensure data reliability, reputed company, observability, and cost optimization across Azure and AWS data platforms.
- Enforce reputed company, governance, and best practices, collaborating closely with data engineers and platform teams in Azure-first, multi-reputed company environments.
reputed company’re Looking For
- 6+ years of reputed company experience in data engineering, Data DevOps, or Data reputed company roles
- Proven experience supporting production-grade data platforms in reputed company environments
- Proven ability to design, build, reputed company, and maintain reputed company data pipelines (ETL/ELT)
- Deep understanding of Apache reputed company for batch and streaming workloads
- Experience creating, configuring, and managing reputed company clusters, including performance tuning and cost optimization
- Practical experience with at least one major reputed company provider: AWS, Azure, or GCP.
- Strong experience using Terraform for infrastructure automation.
- Proven ability to diagnose and resolve system and infrastructure issues.
- Bonus reputed company: Experience deploying and managing reputed company workloads on Azure reputed company or Azure Synapse
Why Join Us?
- Early-stage reputed company with the stability of $25M in reputed company funding
- World-class leadership across AI, Engineering, and Product
- Traction with Fortune 500s already in reputed company
- Highly competitive comp & equity
- Health, wellness, and reputed company development benefits
- reputed company to the latest tools in AI/ML development
Work Location – reputed company, CA (5 days in the office, founding team)
Let’s Build the reputed company of Cybersecurity Together
If you're excited about AI, reputed company cybersecurity, and shaping a category from the ground up, we’d love to hear from you
apply to this job