Operations Engineer, Tech Foundations
Join Airbnb as an Operations Engineer to leverage AI for enhancing operational health and automating workflows in a fully remote role.
Posted by employer 2 months ago
First seen on Joblaze 17 hours ago
Last verified on the company career page 17 hours ago
Skills & Technologies
What you'll build
- Manage the ticket queue prioritizing and resolving requests
- Participate in a rotating on-call and incident response schedule
- Build and maintain monitoring dashboards
- Use AI-assisted tools for triage and root-cause analysis
- Write and maintain code to automate operational workflows
Must have
- 3+ years of experience with observability and metrics tooling
- 3+ years working with data querying and pipelines
- Working knowledge of network fundamentals and hardware
- Experience with Infrastructure as Code
- Hands-on experience with CI/CD and automation tooling
- Comfort working in ticket/workflow-driven environments
Nice to have
- Experience supporting enterprise SaaS tools
- Experience with SSO/identity integration
Practical constraints
- Participate in a rotating on-call and incident response schedule, including weekends
AI in the day-to-day
You'll apply AI at the forefront of BizTech's operational health using LLM-powered triage and intelligent automation.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Operations Engineer at Airbnb, the individual will focus on enhancing operational health through AI-driven automation and observability, managing ticket queues, and resolving incidents. Key skills include proficiency in programming languages like Python and JavaScript, along with experience in observability tools and data pipelines. This position is ideal for someone with over three years of relevant experience, particularly in environments that prioritize automation and incident management. The team operates within a global context, emphasizing collaboration across various stakeholder groups.
Joblaze insights
- Listed today — first seen on Joblaze October 15, 2026. Last confirmed on Airbnb's careers page October 15, 2026.
Quick facts
- Is the Operations Engineer, Tech Foundations role remote?
- Yes — Airbnb lists this as a fully remote position.
- How much experience is required?
- At least 3 years of relevant experience for this Operations Engineer, Tech Foundations role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, AWS, Airflow, ArgoCD, Confluence, Datadog.
- What seniority level is this role?
- Airbnb targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Operations Engineer, Tech Foundations role at Airbnb.
From the original posting
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation. We partner across BizTech to scale service quality, efficiency, and resilience.
The Difference You Will Make:
As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on. You'll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over. Success looks like a shrinking backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and dashboards/reporting enhanced with AI-driven insights that give stakeholders clear, trustworthy visibility into service health and data quality.
A Typical Day:
- Manage the ticket queue prioritizing and resolving requests while identifying recurring categories to automate or deflect
- Participate in a rotating on-call and incident response schedule, including weekends, troubleshooting and documenting issues in real time
- Build and maintain monitoring dashboards (Tableau, Superset, Grafana) that track service health, availability, and data quality, flagging gaps as they emerge
- Use AI-assisted tools (e.g., Claude, Copilot) to speed up triage, root-cause analysis, scripting, and documentation — while knowing when a problem needs hands-on judgment instead
- Write and maintain code in general-purpose languages (Python, Go, JavaScript, TypeScript, Bash) to automate operational workflows
- Partner with global stakeholder teams to drive issues to resolution
Your Expertise:
- 3+ years of experience with observability and metrics tooling (e.g., Prometheus, Grafana, Datadog, ElasticSearch)
- 3+ years working with data querying and pipelines (e.g., SQL, Airflow, Trino, SQS)
- Working knowledge of network fundamentals and hardware (e.g., Cisco, Palo Alto)
- Experience with Infrastructure as Code
- Hands-on experience with CI/CD and automation tooling (e.g., Jenkins, ArgoCD, GitHub Actions) across AWS, GCP, or Oracle Cloud
- Comfort working in ticket/workflow-driven environments using Jira and Confluence
- Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta) is a plus
Your Location:
This position is India - Remote (Eligible anywhere within India). The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
Standard company text repeated across Airbnb's postings is omitted here.